Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Utilize natural language processing to derive insights from unstructured text without needing machine learning expertise, leveraging a suite of features from Cognitive Service for Language. Enhance your comprehension of customer sentiments through sentiment analysis and pinpoint significant phrases and entities, including individuals, locations, and organizations, to identify prevalent themes and trends. Categorize medical terminology with specialized, pretrained models tailored for specific domains. Assess text in numerous languages and uncover vital concepts within the content, such as key phrases and named entities encompassing people, events, and organizations. Investigate customer feedback regarding your brand while analyzing sentiments related to particular subjects through opinion mining. Moreover, extract valuable insights from unstructured clinical documents like doctors' notes, electronic health records, and patient intake forms by employing text analytics designed for healthcare applications, ultimately improving patient care and decision-making processes.
Description
John Snow Labs has developed a sophisticated large language model (LLM) specifically for the medical field, aimed at transforming how healthcare organizations utilize artificial intelligence. This groundbreaking platform is designed exclusively for healthcare professionals, merging state-of-the-art natural language processing (NLP) abilities with an in-depth comprehension of medical language, clinical processes, and compliance standards. Consequently, it serves as an essential resource that empowers healthcare providers, researchers, and administrators to gain valuable insights, enhance patient care, and increase operational effectiveness. Central to the Healthcare LLM is its extensive training on a diverse array of healthcare-related materials, which includes clinical notes, academic research, and regulatory texts. This targeted training equips the model to proficiently understand and produce medical language, making it a crucial tool for various applications such as clinical documentation, automated coding processes, and medical research initiatives. Furthermore, its capabilities extend to streamlining workflows, thereby allowing healthcare professionals to focus more on patient care rather than administrative tasks.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Amazon Web Services (AWS)
No
Apache Spark
No
Azure Databricks
No
Azure Marketplace
Yes
Databricks
No
Defog
No
FLAN-T5
No
GPT-3.5
No
GPT-4
No
Llama 2
No
Integrations
Amazon Web Services (AWS)
Yes
Apache Spark
Yes
Azure Databricks
Yes
Azure Marketplace
No
Databricks
Yes
Defog
Yes
FLAN-T5
Yes
GPT-3.5
Yes
GPT-4
Yes
Llama 2
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/services/cognitive-services/text-analytics/
Vendor Details
Company Name
John Snow Labs
Country
United States
Website
www.johnsnowlabs.com/healthcare-llm/
Product Features
Natural Language Processing
Co-Reference Resolution
Yes
In-Database Text Analytics
Yes
Named Entity Recognition
Yes
Natural Language Generation (NLG)
Yes
Open Source Integrations
Yes
Parsing
No
Part-of-Speech Tagging
Yes
Sentence Segmentation
Yes
Stemming/Lemmatization
Yes
Tokenization
No