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What is Axis AI?

In today's world, a wide range of tools exists to facilitate the automation of data extraction from both structured and semi-structured formats, such as databases, websites, or paper forms, utilizing templates or established rules for machine interpretation. Nonetheless, certain sectors, including real estate, healthcare, and energy, still rely heavily on unstructured documents that often lack uniformity in format or organization and frequently hide essential information within English sentences or scattered paragraphs, creating hurdles for machine understanding. To address this challenge, Axis AI offers a cutting-edge solution specifically tailored for the classification and extraction of data from unstructured content. Utilizing advanced proprietary algorithms that harness Natural Language Processing (NLP) techniques, Axis AI proficiently interprets and extracts data from a variety of text formats, ranging from single sentences to complete pages composed in natural English, thus presenting a powerful option for companies facing difficulties with unstructured data. This enhanced capability empowers organizations to derive valuable insights from their documents, leading to improved operational efficiency and more informed decision-making. As a result, businesses can transform their approach to handling data, paving the way for innovative strategies and growth.

What is Amazon Comprehend Medical?

Amazon Comprehend Medical is an NLP service designed to adhere to HIPAA standards, employing machine learning to extract health information from medical documents without necessitating any prior expertise in machine learning from its users. A vast amount of healthcare data is found in unstructured formats, such as physicians' notes, clinical trial reports, and patient histories. Relying on traditional, manual methods for data extraction is not only time-consuming but also prone to errors, as rule-based automation often fails to capture essential contextual details, resulting in incomplete data retrieval. This lack of reliability can significantly undermine the effectiveness of large-scale analytics, which are critical for advancements in the healthcare and life sciences industries, ultimately impeding potential enhancements in patient care and operational effectiveness. By utilizing this sophisticated service, healthcare organizations can gain invaluable insights and improve their decision-making capabilities, ultimately leading to better outcomes for patients. This transformative approach represents a significant leap forward in how health data can be leveraged for greater efficiency and efficacy in medical practices.

Media

Media

Integrations Supported

AWS AI Services
AWS App Mesh
Amazon Comprehend
NETGENIQ FABRIC

Integrations Supported

AWS AI Services
AWS App Mesh
Amazon Comprehend
NETGENIQ FABRIC

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Axis Technical Group

Date Founded

2002

Company Location

United States

Company Website

www.axis-ai.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/comprehend/medical/

Categories and Features

Data Extraction

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

Categories and 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

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