Best Healthcare Software for NVIDIA DRIVE

Find and compare the best Healthcare software for NVIDIA DRIVE in 2025

Use the comparison tool below to compare the top Healthcare software for NVIDIA DRIVE on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Sporo Reviews
    Use AI agents to automate the review of patient charts, saving time, improving productivity, and improving the mental health of physicians. This will improve the quality of care provided to patients. Sporo allows the clinician to focus on what is important, the patient. Manual Chart Review (MCR), which consumes a lot of time, leads to physician burnout and poor patient outcomes. We combine the latest advances to create state-ofthe-art AI agents which analyze pages of patient chart and provide synopses that can be reviewed in only 10 seconds. We've created the perfect solution for modern healthcare with the best technology and expert advisors. Sporo can help you save time and effort by focusing on key elements in a patient's history.
  • 2
    Deepgram Reviews
    You can use accurate speech recognition at scale and continuously improve model performance by labeling data, training and labeling from one console. We provide state-of the-art speech recognition and understanding at large scale. We do this by offering cutting-edge model training, data-labeling, and flexible deployment options. Our platform recognizes multiple languages and accents. It dynamically adapts to your business' needs with each training session. Enterprise-specific speech transcription software that is fast, accurate, reliable, and scalable. ASR has been reinvented with 100% deep learning, which allows companies to improve their accuracy. Stop waiting for big tech companies to improve their software. Instead, force your developers to manually increase accuracy by using keywords in every API call. You can train your speech model now and reap the benefits in weeks, instead of months or even years.
  • 3
    Medical LLM Reviews
    John Snow Labs Medical LLM is a domain-specific large langauge model (LLM) that revolutionizes the way healthcare organizations harness artificial intelligence. This innovative platform was designed specifically for the healthcare sector, combining cutting edge natural language processing capabilities with a profound understanding of medical terminology and clinical workflows. The result is an innovative tool that allows healthcare providers, researchers and administrators to unlock new insight, improve patient outcomes and drive operational efficiency. The Healthcare LLM's comprehensive training is at the core of its functionality. This includes a vast amount of healthcare data such as clinical notes, research papers and regulatory documents. This specialized training allows for the model to accurately generate and interpret medical text. It is an invaluable tool for tasks such clinical documentation, automated coding and medical research.
  • 4
    Google Medical Imaging Suite Reviews
    Google Cloud's Medical Imaging Suite was designed to help organizations transform their imaging diagnostics through making imaging data more accessible, interoperable and useful. The suite provides a compliant, secure, fully managed service to manage healthcare data in DICOM, FHIR and HL7v2 formats, as well unstructured natural language text. Cloud computing makes it easier and cheaper to store and share large libraries that contain medical images. Cloud Healthcare API allows for the reading of DICOM instances, series, and studies that adhere to the DICOMweb standard. The suite also accelerates research, transforms patient experience, and offers solutions for data storage and analysis. It also explains concepts, best practices, and how to integrate a third-party medical image viewer with the Cloud Healthcare API.
  • 5
    Endimension Reviews
    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
  • 6
    harrison.ai Reviews
    harrison.ai partners with top healthcare organizations to create AI-as a-medical-device solutions that have a global impact on the health care system and support clinical excellence. We believe that quality healthcare is a fundamental human rights. It should be available to everyone, regardless of where they are located in the world. We combine medical insight with data engineering to make this vision a reality. We also harness the potential of AI (artificial intelligence) to create a better, brighter future in healthcare. We are bringing together the best minds to create a culture that encourages exceptional work and bold, innovative ideas. We are a healthcare AI company led by clinicians that provides accessible and efficient solutions and services. We combine deep learning expertise and clinical experience to create healthcare AI solutions.
  • 7
    Aiforia Reviews
    Aiforia provides powerful cloud-based technology and deep learning to assist pathologists and scientists in clinical and preclinical labs. This allows them to improve their image analysis tasks. Aiforia's expertise and experience can transform healthcare from diagnosis to treatment. It can help researchers identify novel biomarkers of disease and support R&D scientists in speeding the time-to market of new drugs. Aiforia Clinical Suites are a suite of tools that can be used to improve the productivity and accuracy of clinical pathology labs. We are currently working on Suites for some the most common cancers in the world and have CE-IVD marking to mark AI models in breast and lung cancer.
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