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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Amazon Comprehend Medical is a natural language processing (NLP) service compliant with HIPAA that leverages machine learning to retrieve health information from medical texts without requiring any prior machine learning expertise. A significant portion of health data exists in unstructured formats such as physician notes, clinical trial documentation, and patient medical records. The traditional approach of manually extracting this data is labor-intensive and inefficient, while automated methods based on strict rules often overlook crucial contextual details, leading to incomplete data capture. Consequently, this limitation results in valuable information remaining untapped for large-scale analytical efforts that are essential for progressing the healthcare and life sciences sectors, ultimately impacting patient care and operational efficiencies. By addressing these challenges, Amazon Comprehend Medical enables healthcare professionals to harness their data more effectively for better decision-making and innovation.

Description

Today, a plethora of options exists for the automatic extraction of data from both structured and semi-structured sources, including databases, online platforms, and printed forms, all of which machines can interpret through templates or established rules. Nonetheless, industries such as real estate, healthcare, and energy continue to depend significantly on unstructured documents, which often have unpredictable layouts or contain essential details buried within English sentences or paragraphs, rendering them nearly impossible for machines to decipher. In response to this challenge, Axis AI presents an innovative solution designed specifically for the classification and extraction of information from these unstructured formats. By leveraging advanced proprietary algorithms that incorporate Natural Language Processing (NLP), Axis AI can effectively read and extract pertinent data from sentences, paragraphs, or even entire pages composed in natural English. This capability not only enhances efficiency but also significantly reduces the time and resources required to manage unstructured content. With Axis AI, businesses can transform their approach to document management and improve their operational workflows.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS AI Services
AWS App Mesh
Amazon Comprehend
NETGENIQ FABRIC

Integrations

AWS AI Services
AWS App Mesh
Amazon Comprehend
NETGENIQ FABRIC

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/comprehend/medical/

Vendor Details

Company Name

Axis Technical Group

Founded

2002

Country

United States

Website

www.axis-ai.com

Product Features

Data Extraction

Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

Product Features

Data Extraction

Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

Alternatives

Alternatives

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