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Medical LLM
Generative AI models exceling in clinical text summarization, information extraction and question answering
Healthcare NLP
Python libraries and 2,000+ medical language models for information extraction and de-identification from clinical & biomedical text
Generative AI Lab
Train, tune, and share custom language models without coding
Medical Chatbot
Get explainable answers from Healthcare-GPT on public or private data
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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 in Healthcare: Use Cases, Benefits, and Challenges
FunctionalMind™: Leveraging Medical Generative AI, Knowledge Bases, and Cli…
John Snow Labs Medical LLMs are now available in Amazon SageMaker JumpStart
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December 11
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Integrating Multi-Modal Medical Data Into Unified Patient Journeys
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FunctionalMind™: Leveraging Medical Generative AI, Knowledge Bases, and Cli…
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Blog - Articles
Comparing production-grade NLP libraries: Running Spark-NLP and spaCy pipelines
by
Dominika Garczynska
A step-by-step guide to building and running a natural language processing pipeline.
Comparing production-grade NLP libraries: Accuracy, performance, and scalability
by
Dominika Garczynska
A comparison of the accuracy and performance of Spark-NLP vs. spaCy, and some use case recommendations