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Medical Language Models
Python libraries and 2,000+ models for data scientists
Medical Chatbot
Get explainable answers from Healthcare-GPT on public or private data
Generative AI Lab
Train, tune, and share custom AI models without coding
Spark NLP
State-of-the-art natural language processing at scale
Solutions
Managed services
Create Patient Cohorts
Use Medical Generative AI to Answer Patient Questions from Raw Clinical Data
De-Identification
Anonymize and obfuscate structured, free text, and imaging data with over 99% accuracy
Patient Risk Adjustment
Automate patient risk adjustment and HCC Coding from clinical notes
Regulatory-Grade Data Abstraction
Automatic & faster data abstraction, with a human in the loop
TURNKEY SOLUTIONS
Responsible AI with LangTest
Deliver safe and effective language models, by generating and running 100+ test types
Medical Knowledge Graphs
Build a longitudinal view of the patient, connecting noisy & diverse data sources
Adverse Drug Event Detection
Detect adverse drug events from unstructured clinical records, transcripts, and messages
Clinical Decision Support
Predict patient risk based on a holistic view of the entire medical record
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Generative AI Survey
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AI in Healthcare
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De-Identification
Finance NLP
Latest From the Blogs >>
From Data Overload to Precision: How Medical Language Models Enhance Clinic…
Harnessing Healthcare-Specific LLMs for Clinical Entity Extraction
Automating Literature Reviews: Streamlining Medical Research with AI
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Upcoming
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Alberto Andreotti
(Senior Data Scientist at John Snow Labs)
November 13
02:00 P.M | ET
De-Identification of Medical Images in DICOM Format
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John Snow Labs Awarded Phase I SBIR Contract for the Development of Medical…
John Snow Labs Announces Fifth Annual NLP Summit, the World’s Largest Gathe…
John Snow Labs Announces Turnkey Deployment of Medical Language Models as P…
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