Alternatives to Amazon Comprehend Medical

LM-Kit.NET is an enterprise-grade toolkit designed for seamlessly integrating generative AI into your .NET applications, fully supporting Windows, Linux, and macOS. Empower your C# and VB.NET projects with a flexible platform that simplifies the creation and orchestration of dynamic AI agents. Leverage efficient Small Language Models for on‑device inference, reducing computational load, minimizing latency, and enhancing security by processing data locally. Experience the power of Retrieval‑Augmented Generation (RAG) to boost accuracy and relevance, while advanced AI agents simplify complex workflows and accelerate development. Native SDKs ensure smooth integration and high performance across diverse platforms. With robust support for custom AI agent development and multi‑agent orchestration, LM‑Kit.NET streamlines prototyping, deployment, and scalability—enabling you to build smarter, faster, and more secure solutions trusted by professionals worldwide.

PrecisionOCR is an easy-to-use, secure and HIPAA-compliant cloud-based optical character recognition (OCR) platform that organizations and providers can user to extract medical meaning from unstructured health care documents. Our OCR tooling leverages machine learning (ML) and natural language processing (NLP) to power semi-automatic and automated transformations of source material, such as pdfs and images, into structured data records. These records integrate seamlessly with EMR data using the HL7s FHIR standards to make the data searchable and centralized alongside other patient health information. Our health OCR technology can be accessed directly in a simple web-UI or the tooling can be used via integrations with API and CLI support on our open healthcare platform. We partner directly with PrecisionOCR customers to build and maintain custom OCR report extractors, which intelligently look for the most critical health data points in your health documents to cut through the noise that comes with pages of health information. PrecisionOCR is also the only self-service capable health OCR tool, allowing teams to easily test the technology for their task workflows.

Machine learning can provide insightful text analysis that extracts, analyses, and stores text. AutoML allows you to create high-quality custom machine learning models without writing a single line. Natural Language API allows you to apply natural language understanding (NLU). To identify and label fields in a document, such as emails and chats, use entity analysis. Next, perform sentiment analysis to understand customer opinions and find UX and product insights. Natural Language with speech to text API extracts insights form audio. Vision API provides optical character recognition (OCR), which can be used to scan scanned documents. Translation API can understand sentiments in multiple languages. You can use custom entity extraction to identify domain-specific entities in documents. Many of these entities don't appear within standard language models. This allows you to save time and money by not having to do manual analysis. You can create your own machine learning custom models that can classify, extract and detect sentiment.

ClinicalWave.ai, built on AWS' cloud platform, is an integrated AI platform designed for life sciences companies. It uses cutting-edge NLP to extract valuable insights and automates the redaction and extraction sensitive data from clinical documents. It is made up of: 1. ClinRedact AI - Our Redaction Product that automatically identifies and removes sensitive information from clinical documents. This product saves time and ensures data integrity. 2. ClinExtract AI - The AI Data Extraction Product that uses NLP and Machine Learning to extract relevant data from clinical documents. This product provides valuable insights and streamlines workflows. 3. ClinDICOM AI - Experience the power and features of our DICOM data extraction product. It offers targeted redaction, customizable redaction rules, intelligent context analysis, audit trail compliance and a user friendly interface.

Fully autonomous, AI-enabled medical Scribe Clip for any EHR. Reduces the burden of clinical documentation. It integrates with all EHR types and provides quick documentation. It is based upon the patent-pending technology Intelligent Physician Knowledge Orchestrator. S10.AI will make it easier to see patients and reduce the documentation burden. S10.AI stands out because of: 1. Its accuracy rate for speech to text is 99% 2. In five minutes, you will have immediate documentation. 3. The robot scribe service can be accessed online or offline, and is available around the clock. 4. It does not integrate EHR data automatically. 5. Highest level of security and HIPAA compliant. S10.AI allows for you to make more money and spend less on other scribing or transcription services.

Amazon Textract, a fully managed machine-learning service, automatically extracts text from scanned documents. It goes beyond optical character recognition (OCR), to identify, understand and extract data from forms or tables. Today, many companies extract data from scanned documents such as PDF's and tables using manual data entry. This can be slow, expensive, and prone to errors. Or, they use OCR software which requires manual configuration and must be updated every time the form is modified to be usable. Textract uses machine-learning to automatically read and process any type document. It extracts text, forms, tables, and other data without any manual effort or custom code. Textract allows you to quickly automate manual document activities and process millions of pages in just hours.

ZS developed ZAIDYN, an AI-powered platform that is cloud-native and designed to revolutionize the Life Sciences industry. It integrates advanced algorithms, machine learning algorithms and intelligent workflows in order to empower organizations and transform processes across research and developments, commercialization and patient engagement. The modular design of the platform allows for customized solutions that are tailored to specific needs. Its open architecture facilitates seamless integration with existing IT systems. ZAIDYN promotes cross-functional cooperation by providing unified data and insights of high quality, reducing operational silos, and promoting informed decisions. The platform is a reliable option for life sciences companies that are looking to innovate and improve outcomes. It adheres to regulatory standards and ensures data privacy.

At Iris.ai we have spent the last 6 years building an award-winning AI engine for scientific text understanding. Our algorithms for text similarity, tabular data extraction, domain-specific entity representation learning and entity disambiguation and linking measure up to the best in the world. On top of that, our machine builds a comprehensive knowledge graph containing all entities and their linkages to allow humans to learn from it, use it and also give feedback to the system. The Iris.ai Researcher Workspace is a flexible tool suite that allows to approach a project in a variety of ways. Modules include content based explorative search, machine analysis of document sets, extracting and systematizing data points, automatically writing summaries of multiple documents - and very powerful filters based on context descriptions, the machine’s analysis, or specific data points or entities. The Iris.ai engine for scientific text understanding is a powerful interdisciplinary system that can be automatically reinforced on a specific research field for much more nuanced machine understanding - without human training or annotation.

Clinithink, a leading healthcare tech company, specializes in artificial intelligence solutions which transform unstructured medical information into actionable insights. Our patented CLiX Platform uses Clinical Natural Language Processing to interpret complex clinical narratives. This allows healthcare organizations to improve patient care and operational efficiency. Clinithink provides tailored solutions for life sciences, revenue-cycle management, and population healthcare, addressing issues such as patient cohort tracking, reimbursement optimization, or disease progression tracking. Clinithink has gained the trust of leading pharmaceutical and healthcare companies around the world with its innovative technology, placing it at forefront in digital health and healthcare AI advancements. CLiX can understand a large number of unique clinical concepts, such as certainty, severity and laterality.

Tempus AI, a leading health-technology company headquartered in Chicago Illinois, is a leader in the field. Tempus AI, a company specializing in artificial intelligence (AI) and precision medicine, aims to revolutionize the patient care industry by leveraging AI and data to develop personalized treatment plans for various medical fields including oncology. The comprehensive platform of the company integrates genomics, clinical data and AI-driven analytics in order to provide actionable insight for healthcare providers and scientists. We provide a comprehensive picture of your patients with our tissue and fluid tests, DNA andRNA sequencing, somatic tests and germline tests. We provide a fast and reliable platform to order Tempus tests, gain access to patient insights, and utilize our AI-driven technology seamlessly. The first AI-enabled clinical Assistant that puts patient insights at your fingertips.

DeepScribe’s AI-powered scribe captures the natural conversation between a clinician and patient and automatically writes medical documentation, allowing clinicians to focus on patient care instead of note-taking. Through an easy-to-use mobile app, DeepScribe records the natural clinical encounter and transcribes it in real time. Our proprietary AI then extracts the medical information from the transcript, classifies it into a standard note, and then integrates that note directly into a clinician’s electronic health record system. Unlike traditional scribes, dictation tools, or other solutions, the ambient nature of DeepScribe means it doesn’t intrude on the patient visit or disrupt the clinical workflow. Providers can simply talk to their patient like normal, then review their notes after the visit and sign-off in their EHR. DeepScribe handles documentation, charting, and even populates suggested diagnostic coding based on the information extracted from the visit. With DeepScribe’s easy to use, efficient, and powerful AI scribe, clinicians can bring the joy of care back to medicine.

Combining the multiomic data and medical history of an individual to deliver more personalized healthcare. Use purpose-built databases to support large-scale analyses and collaborative research across populations. Accelerate your research with scalable workflows, integrated computation tools and integrated computing. Protect patient privacy by ensuring HIPAA compliance and using built-in data access, logging and logging. AWS HealthOmics enables healthcare and life sciences organizations and their software partner to store, query and analyze genomic, transcriptionomic, or other omics data, and then generate insights using that data. Store and analyze omics for hundreds of thousands patients to understand the relationship between omics variation and phenotypes in a population. Create reproducible and traceable workflows for clinical multiomics to reduce turnaround time and increase productivity. Integrate multiomic analyses into clinical trials to test out new drug candidates.

Unstructured health data can be unified and liberated with Interactive AI and NLP solutions that deliver health insights to Providers. Payers. Life Sciences. Interactive AI and NLP solution to unlock healthcare insights from unstructured clinical data. Provider. Accelerate data abstraction and clinical validation of clinical notes information. Reduce time and costs needed to identify care gaps, review care quality dashboards and create registry reports. Payer. To better manage high-risk and high-cost member cohorts, integrate and analyze claims data and clinical notes. Life Sciences. Use clinical trial databases and data taken from clinical notes to quickly match patients with clinical trials. Real world clinical data and evidence can be leveraged. Ember is a complete solution that combines NLP and predictive analytics. Streamline. Healthcare Analytics for Unstructured Data to Improve Quality and Efficiency.

Natural language processing (NLP), which is a natural way to extract insights from unstructured text, is a great way to gain insight. To understand common topics and trends, identify key phrases and entities, such as people, places, or organizations. Pretrained models that are domain-specific can be used to classify medical terminology. Sentiment analysis allows you to gain a deeper understanding of customer opinions. You can evaluate text in many languages. Broad entity extraction Identify key concepts in text, including key words and named entities, such as people, places and organizations. Sentiment analysis that is powerful: Find out what customers think about your brand and how sentiment is around certain topics. Robust language detection: Assess text input in a variety of languages. Flexible deployment: Text Analytics can be run anywhere: on-premises, in the cloud, or at the edge with containers.

Business data can be found in many formats and from different sources. Many business data is not structured or semi-structured. IDP (Intelligent Document Processing), which uses AI and programmable automation (such repetitive tasks) to convert business data into usable, structured formats and for consumption by downstream system. Blox.ai uses Natural Language Processing (NLP), Computer Vision, (CV) and machine learning tools to identify, label and extract relevant data from any type. The AI then converts the extracted information into a structured format and creates a model that can be used for all types of similar documents. Blox.ai is used to reconcile data based upon business requirements and push the output to downstream system automatically.

Genospace understands that genomics is driving precision medicine development, but scaling its delivery remains a challenge. We are here to help. Our platform makes biomedical data meaningful, accessible and easy to use for everyone, especially those at the frontlines of care delivery. Your clinicians and researchers will have the information they need in order to make informed decisions. Join us in our mission to leverage high-dimensional molecular data to improve patient outcomes and accelerate drug discovery and research. For drug development and research, large-scale population data is essential. Genospace platform allows you to conduct cohort-driven analyses that will inform your research activities. We are experts in clinical trial research. Genospace allows you to quickly accrue patients by matching fragmented patient data with complex trial criteria. The Genospace platform enables you to integrate genomic medicine into your mainstream clinical care.

BIS, a company that has 35 years of experience in developing and delivering innovative technology, built Grooper from the ground up. Grooper is an intelligent data processing and digital data integration tool that allows organizations to extract meaningful information out of paper/electronic documents, and other unstructured data. The platform combines advanced image processing, capture technology and machine learning with optical character recognition to enrich data and embed human comprehension. Grooper is a foundation for many industry-first solutions, including in healthcare, financial services and education.

Doctors spend two-thirds of their time documenting a patient's treatment. They spend far less time with patients or conducting interviews. Averbis is developing Speech2Structure, a software solution that allows doctors to spend more time with patients. The software allows for the recording of patient documentation live by voice and then structured on-the fly. Speech2Structure is able to recognize and correct many linguistic variations, including negations, suspected diagnoses, past diagnoses, and others. When recognizing diagnoses. Also, the corresponding diagnoses are made from microbiology or pathological laboratory results. Recorded medications can also be used to help diagnose.

ConcertAI is the leading provider of AI solutions for the healthcare industry. They specialize in oncology. Their mission is to improve patient outcomes by accelerating insights using real-world data and AI technologies. ConcertAI provides a range of products and services that are designed to improve clinical research and patient care. Their Real-World Data Products offer comprehensive, fit-for-purpose data sets that support a wide range of research needs within the enterprise. The digital trial solution streamlines the clinical trial process, while the Clinical Trial Optimization platform (CTO) uses large-scale AI for trial design and execution. ConcertAI, in collaboration with NeoGenomics has developed CTO - H, a SaaS offering advanced research analytics, and operational optimization, for hematological malignancies.

SparkCognition, an industrial AI company, has created a natural language processing solution that automates the workflows of unstructured data within companies so that humans can concentrate on high-value business decisions. DeepNLP uses machine learning to automate the retrieval, classification, and analysis of information. DeepNLP integrates with existing workflows to allow organizations to respond more quickly to changes in their businesses and get quick answers to specific queries.

Combine Data Science, Business Intelligence and Data Management Capabilities into One Integrated, Self-Serve Platform. Analance is an end-to-end platform with robust and salable features that combines Data Science and Advanced Analytics, Business Intelligence and Data Management into a single integrated platform. It provides core analytical processing power to ensure that data insights are easily accessible to all, performance remains consistent over time, and business objectives can be met within a single platform. Analance focuses on making quality data into accurate predictions. It provides both citizen data scientists and data scientists with pre-built algorithms as well as an environment for custom programming. Company - Overview Ducen IT provides advanced analytics, business intelligence, and data management to Fortune 1000 companies through its unique data science platform Analance.

LabAnalyzer, an AI-powered platform, simplifies the interpretation of medical lab tests. Users can upload their lab results (PDF, image or text) to receive an instant, accurate explanation of their medical data. LabAnalyzer's advanced AI capabilities allow it to provide detailed analyses of key metrics. It also highlights potential health concerns that should be discussed with doctors and offers translations in multiple languages. The key features include: support PDFs, images and text uploads for text extraction with OCR, detailed AI-powered insights on lab metrics such as glucose, cholesterol and more, language-translation options for reports in real time, and an affordable, user-friendly platform starting at $5. LabAnalyzer is designed to help individuals better understand their health data so they can make informed decisions.

RapidMiner is redefining enterprise AI so anyone can positively shape the future. RapidMiner empowers data-loving people from all levels to quickly create and implement AI solutions that drive immediate business impact. Our platform unites data prep, machine-learning, and model operations. This provides a user experience that is both rich in data science and simplified for all others. Customers are guaranteed success with our Center of Excellence methodology, RapidMiner Academy and no matter what level of experience or resources they have.

PatientIQ was founded in Chicago, Illinois. It serves providers, payers, and medical device & health sciences companies. The largest platform for healthcare professionals to connect and improve patient outcomes. Provide healthcare professionals with the industry's best technology to practice data-driven medicine. All stakeholders in the U.S. healthcare system are under increasing pressure. Objective measures of patient outcomes are crucial to assessing "value". Although measuring outcomes can be complex, time-consuming, expensive, and complicated due to technological barriers, they are the most valuable currency for value-based healthcare in the future. The next big market opportunity for digital health is a transparent way to measure, analyze, compare, and compare outcomes across stakeholders.

Amazon Comprehend uses machine learning to discover insights and relationships in text. No prior machine learning experience is required. Your unstructured data can hold a treasure trove. Your unstructured data can provide valuable insights into customer sentiment. These include customer emails, product reviews, support tickets, social media and even advertising copy. How can you get there? Machine learning is able to identify specific items of interest within large swathes text (such finding company names in analyst report), and can also learn the sentiment hidden within language (identifying negative customer reviews or positive customer interactions with service agents). This is possible at a nearly limitless scale. Amazon Comprehend uses machine-learning to help you discover the relationships and insights in your unstructured data.

Flatiron Health's Evidence Solutions provide a flexible way to generate both prospective and retroactive real-world evidence. This allows life sciences companies to accomplish their oncology research objectives more efficiently. Flatiron Horizon is the core of these solutions. It integrates a vast repository with over 5 million deidentified patient records, 1.5 billion data points and advanced curation methods. This platform supports different stages of the biopharmaceutical lifecycle including discovery, clinical studies, regulatory submissions and post-marketing obligations. Flatiron's services include real-world data configurations tailored for specific oncology requirements, prospective evidence generation via low-interventional study, protocol optimization, identification of patients, and seamless EHR to EDC data transfer via Flatiron Clinical Pipe.

Our platform is regulatory compliant and allows clinical research to be done by analyzing unstructured EMR data in order to identify life-threatening conditions. We develop technologies that increase access to the most innovative healthcare through clinical trials. Our team is focused on saving lives and providing access to new healthcare therapeutic innovations that are still being investigated. We believe every patient should be informed about their options to participate in clinical trials that could offer therapies that significantly save or improve their lives. We are an AI-based healthcare research company that has developed a platform that uses computational technology to identify patients who meet a complex set criteria and allows them to participate in clinical trials.

The Accern No-Code NLP Platform empowers citizen data scientists to extract insights from unstructured data, minimize time to value and maximize ROI with pre-built AI/ML/NLP solutions. Recognized as the first No-Code NLP platform and industry leader with the highest accuracy scores, Accern also enables data scientists to customize end-to-end workflows that enhance existing models and enrich BI dashboards.

Cortical.io offers AI-based Natural Language Understanding solutions such as Contract Intelligence or Message Intelligence that enable enterprises to search, extract, analyze, and annotate key information from any type of unstructured text. The Cortical.io artificial Intelligence-based solutions can quickly be trained unsupervised in any business domain's specialized vocabulary and can work across multiple languages. They have been used in a variety of business use cases at several Fortune 500 companies.

Truveta, a platform for health data and analytics, is dedicated to saving lives through data. Truveta aggregates de-identified electronic records from more than 30 health systems to provide researchers with comprehensive patient data including clinical notes and genomics. This vast dataset includes more than 120,000,000 patients and provides a representative view on patient care in the United States. Truveta Studio is the platform's integrated analytical solution. It allows researchers to analyze specific populations using powerful tools such as notebooks and dashboards. All of this takes place in a secure HIPAA-compliant setting. Platform data is updated every day, ensuring timely insight into patient care and outcomes. Truveta is committed to data quality, as evidenced by its use of Truveta Language Model. This AI model, which includes large-language and multi-modal AI, transforms EHR data to clean, accurate data points that can be used for medical research.

LexisNexis®, MarketView™, provides medical claims-based information to healthcare payers and providers, life science companies, and health IT organizations throughout the United States. MarketView provides actionable insights that help businesses remain competitive. It allows them to see valuable insights and visualize ways to transform their business. MarketView is available to all life sciences companies, health plans, health systems, and vendors. It can transform key business work streams such as marketing, sales and strategic planning, physician outreach, physician relations, network optimization, market research, pricing, contracting and recruitment. To remain competitive, your business needs the most actionable insight. It can be difficult to pinpoint the right areas of focus if the picture isn't clear. MarketView provides insights into areas such as physician alignment strategies, referral patterns, physician referral patterns, quality of clinically integrated network, patient volumes, and more.

Our virtual assistant will answer all your questions and provide you with the best possible answers. Choose a doctor who is best suited to meet your needs from the top institutions in Europe and the US. You can receive a second medical opinion via video call or written form, from the comfort of home. All data shared through our services are protected by advanced encryption protocols and security standards that comply with HIPAA regulations and GDPR standards. Docus AI Health Assistant is designed to act as an AI doctor, and to provide accurate and relevant data based on its trained algorithms. However, it cannot guarantee 100% accuracy. Consult a healthcare professional to determine a definitive diagnosis or treatment plan. Docus AI Health Assistant is an AI doctor but it is not meant to replace a real doctor.

NaturalText A.I. Your data can be used to get more. Discover relationships, build collections, and uncover hidden insights in documents and text-based data. NaturalText A.I. NaturalText A.I. uses artificial intelligence technology to uncover hidden data relationships. The software uses a variety of state-of-the art methods to understand context and analyze patterns to reveal insights - all in a human-readable manner. Discover hidden insights in your data It can be difficult, if not impossible, to find everything in your text data. Traditional search can only find information about a document. NaturalText A.I. on the other hand, uncovers new data within millions of documents, including patents and scientific papers. NaturalText A.I. NaturalText A.I. can help you uncover insights in your data that you are not currently seeing.

Artificial intelligence transforms healthcare diagnosis Predictive analytics and AI are used to detect early-stage diseases and provide accurate diagnosis. Cloud-enabled AI platform to provide affordable and accessible healthcare. Endimension Technology, a startup in healthcare artificial intelligence, was founded at IIT Bombay. AI algorithms are developed to automatically detect abnormalities in medical scans and diagnose diseases. The founding team includes machine learning researchers, software engineers, and medical doctors from well-respected institutions. Our mission is to develop healthcare AI technology products that reduce misdiagnosis. AI to reduce the workload of radiologists Improve patient turnaround time

Insurance is driven by the need to obtain the best rate and manage risk. To be competitive in this industry, it is important to reduce manual intervention. It takes large staffs to search, organize, analyze, and distribute information for support and underwriting purposes. Many of the data is text-centric, unstructured and require manual review. Scaling can be described as hiring more people or outsourcing. All complaints must be filtered and recorded according to their severity and topic. These complaints can be collected by automotive companies in many ways, including email, comments, forms, and other methods. Lymba's Underwriting and Support NLP Solution reduces text-centric bottlenecks by turning the data into actionable information. This saves time and money by populating an initial review.

AIMedInfo is a cutting-edge, fully integrated global medical information system that uses AI to improve productivity and engagement in medical affairs. This cloud-based platform uses sophisticated AI and machine learning to quickly, securely, accurately process medical data, providing instantaneous access to data and opportunities for continuous learning. AIMedInfo provides multi-channel support to handle medical information, including AI-enabled bots and live chat agents, to answer healthcare professionals (HCPs) or patients' questions 24/7. The platform integrates data from standard responses, prescribing and other sources to ensure comprehensive and compliant support for medical information. AIMedInfo also captures key insights on HCP and patient behavior, including sentiment analysis, interaction frequency, and identification of possible adverse events.

MedGeo, a health MedGEO, connects healthcare providers and patients using clinician-developed digital technology. Startup that works directly with industry representatives, administrators and providers to develop software applications that optimize clinical workflows. MedGEO was built on the expertise of global health, medical, and surgical professionals. We bring decades of first-hand knowledge from over 100 countries to the field. Modern hospital corridors are crowded, filled with computers and hardware, and covered with wires. They represent a patchwork system that is often unable to communicate. Staff spend more time interacting with computers than patients, and clinicians spend a lot more time entering data rather than providing care. MedGEO optimizes workflows to benefit clinicians, healthcare administrators and pharmaceutical companies.

Our cutting-edge platform, the Medidata Clinical Cloud, transforms clinical trial experiences for patients, sponsors and CROs. The Medidata Clinical Cloud is the only unified technology platform that focuses exclusively on clinical research. It addresses every step of the research process, from start to finish. Our platform helps medical device and life science organizations reduce development costs, minimize risks, and bring treatments and devices to market quicker. The Medidata Clinical Cloud will allow you to access the power of any product you choose for your clinical trials program. Medidata is leading the digital transformation in clinical research. Our platform, powered by artificial intelligence, machine-learning, advanced analytics, and advanced research, brings together researchers, study managers and investigators to accelerate research. Obtain regulatory-compliant, patient-friendly electronic informed consent for clinical trials.

Zegami makes it easier to deliver explainable imaging AI more quickly and accurately. Zegami's full-stack service allows researchers, data scientists, and medical professionals to deliver explainable AI with greater efficiency. Our team and tools are your data science plug-in to create, validate, and enhance machine learning models in healthcare, life science, and manufacturing to propel your business or project forward.

We have been pioneers in the development of clinical NLP platforms and their applications for over 15 years. This has resulted in high precision and accuracy. Our core competency is to interpret unstructured notes accurately and at scale. Tested on billions of real clinical notes and documents. AI that can explain with context, reasoning, and evidence for output. NLP with medical knowledge infused with 4M+ entities and 50M+ relationships. Innovative Machine Learning (ML), & Deep Learning(DL) models were used to build this NLP. Use a foundation of rich ontologies and clinician-specific terminologies. We can understand, interpret, and extract context & significance from the inconsistent, inconsistent, and non-standard data contained in medical documents. Our clinical domain experts continually infuse knowledge graphs to our NLP by mapping all clinical entities and their relationship between them. We have more than 4,000,000 entities and 50,000,000 relationships.

HIPAA-compliant AI chat solutions, API access, and enterprise-grade tools—powered by Anthropic’s Claude—Hathr AI enables healthcare providers, insurers, and professionals handling HIPAA-regulated data to streamline workflows while maintaining strict data security. Built within AWS GovCloud’s FedRAMP High environment, Hathr AI ensures all data interactions remain private and safeguarded from unauthorized access. Users can automate key processes like patient note summarization, pre-authorization drafting, and insurance claim submissions, all within a secure and intuitive platform. By leveraging advanced models such as Claude 3.5 Sonnet, Hathr AI delivers a private AI environment tailored for HIPAA compliance. Teams can efficiently extract and summarize data from complex medical records, supporting more informed clinical and administrative decisions.

We are an artificial intelligence-enabled SaaS which diagnoses drug-resistant tuberculosis within a matter of hours. AarogyaAI aims at diagnosing drug-resistant tuberculosis using Artificial Intelligence within a few hours. We allow rapid and accurate diagnosis of DRTB so that patients can be prescribed the most effective drug combinations. Tuberculosis kills more people each year than AIDS. Because there are 19 anti-TB medications available, doctors don’t always know which one will work for whom. Even though tuberculosis may be curable, patients who are not diagnosed in time can end up on ineffective treatment for up to seven years. AarogyaAI is able to diagnose drug-resistant tuberculosis within a few hours, so that patients can be prescribed effective treatment immediately. Our SaaS uploads the patient's DNA sequence. The machine learning algorithm generates an output report that shows a complete drug susceptibility status.

Watson Natural Language Understanding, a cloud native product, uses deep learning to extract metadata such as entities, keywords and categories, sentiments, emotions, relations, and syntax. Text analysis can be used to uncover the topics in your data. It extracts keywords, concepts and categories. Unstructured data can be analyzed in more than 13 languages. Machine learning models for text mining are available that can be used outside-of-the box to provide high accuracy across your content. Watson Natural Language Understanding can be deployed behind your firewall or on any other cloud. Watson Knowledge Studio allows you to train Watson to understand your business language and extract custom insights. You can keep control of your data and have the assurance that it is safe and secure. IBM will not store or collect your data. Our advanced natural language processing service (NLP), gives developers the tools to extract valuable insights from unstructured information.

We are a leader in data science and help clients to extract valuable business insights from their data. This helps them better understand their audience, forecast demand and reduce risk. We are here to help you if you need a reliable technology partner or a data science consultant to create innovative, market-leading products. Machine learning (ML) tools are used to assist companies in developing AI-driven products. Our team has extensive experience in designing, implementing and integrating artificial intelligence solutions into customers' business environments. Machine learning (ML) tools are used by our team to assist companies in developing AI-driven products. Our team has extensive experience in designing, implementing and integrating artificial intelligence solutions into customers' business environments.

ICyte is used by life science organizations of all sizes and complexity to facilitate pharma market access and commercialization. ICyte offers biotech and pharma companies world-class channel, patient and pricing data aggregation, contracts, pricing managed services and gross-to-net forecasting, accrual systems, expert launch and pricing transparency solutions, and pricing managed service contracts. ICyte helps pharmaceutical and biotech companies increase market access by quickly transforming channel, payer, complex transaction and patient data into actionable insights. ICyte also supports analytics-as-a-service, which allows common models and metrics to be deployed as a centralized service across applications, data, and analytics uses. The platform includes key performance indicators (KPIs), which are specific to Life Sciences companies. Also included are advanced analytics such as forecasting, scenario modeling, and a machine-learning-powered recommendation engine.

Machine learning models can transform your knowledge into text-based workflows that are scaleable and human-level. You can either create your own models, retrain our models for your task, or purchase Primer models off the shelf. Primer Automate is available to anyone in your company. No coding or technical skills are required. You can add a structured layer to your data and create an scalable, self-curating knowledgebase that can quickly scan through billions of documents. Quickly find answers to critical questions, track updates in real-time, and generate easy-to-read reports automatically. To find the most important information, process all your documents, emails and social media. Primer Extract makes it easy to quickly and efficiently explore your data using cutting-edge machine learning techniques. Extract offers more than keyword search. It also provides OCR, translation, and image recognition capabilities.

Our global data-sharing networks generate clinically actionable insights to improve patient outcomes globally. SOPHiA GENETICS is on a mission to build the future in AI-assisted medical care. We are integrating multimodal data from healthcare-omics, unlocking existing data silos and developing machine learning models in order to produce actionable insight that can eventually support healthcare professionals improve patient outcomes. The new interface, features, and cutting edge capabilities will accelerate precision medicine workflows and bring us closer to democratizing the data-driven medicine.

spaCy is designed for real work, real products and real insights. The library respects your time, and tries not to waste it. It is easy to install and the API is simple and efficient. spaCy excels in large-scale information extraction tasks. It is written in Cython, which is carefully managed for memory. SpaCy is the library to use if your application requires to process large web dumps. spaCy was released in 2015 and has been a industry standard with a large ecosystem. You can choose from a wide range of plugins and integrate them with your machine-learning stack to create custom components and workflows. You can use these components to recognize named entities, part-of speech tagging, dependency parsing and sentence segmentation. Easy extensible with custom components or attributes Model packaging, deployment, workflow management made easy.

BrainSightAI, a health technology company, uses artificial intelligence and machine-learning to revolutionize brain mapping by generating personalized maps using AI-based connectomics. Our VoxelBox product uses AI-based connectomics in order to generate personalized brain mapping. These tools are designed to improve pre-surgical planning for patients with brain tumours and other neurological conditions. BrainSightAI works with leading hospitals across the country to conduct clinical studies on a variety of brain-based disorders. These include Alzheimer's, brain tumors and psychiatric disorders. Our mission is to improve lives and advance brain science by providing cutting-edge tools to understand the human brain.

LifeSphere NavaX will revolutionize your business by combining advanced automation, artificial intelligence, and intelligent data analysis to achieve better end-toend outcomes. LifeSphere NavaX was designed with scalability, customization and ease of use in mind. We work with you to map out your automation journey, based on your goals, objectives, and timeline. You can deactivate or activate features as you need. LifeSphere NavaX is a LifeSphere solution that enhances LifeSphere's solutions by seamlessly integrating third-party systems. This ensures a smooth transition into a future of intelligent automation. LifeSphere NavaX was developed in collaboration with regulatory and pharmaceutical leaders. It maintains the highest levels of security and quality through robust governance frameworks. Automate manual workflows for unparalleled end-to-end cost and time savings.