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Medical LLM
Generative AI models exceling in clinical text summarization, information extraction and question answering
Healthcare NLP
2,500+ small language models for de-identification and data curation from clinical & biomedical text
Generative AI Lab
Implement Human-in-the-loop workflows for regulatory-grade AI without coding
Terminology Server
Semantic mapping of medical phrases to standard or custom code systems, concept maps, and value sets
Solutions
De-Identification
Anonymize and obfuscate tabular, free text, FHIR, PDF, DICOM, and SVS files with regulatory-grade accuracy
Data Curation
Automate and scale the creation of accurate patient registries, cohorts, quality measures, and analytics from clinical documents
Patient Journey
Automatically integrate multimodal, longitudinal, and messy clinical data into a unified OMOP data model
Martlet AI:
HCC Coding
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AI Governance
DeepLens:
Private Medical Chatbot
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The Role of LLMs in Summarizing Medical Research
Generative AI for Cross-Analysis of Family Medical History and Current Heal…
Unlocking the Power of Healthcare GPT: Revolutionizing AI in Medical Data P…
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Youssef Mellah
Senior Data Scientist & Machine Learning Engineer at John Snow Labs
July 23
02:00 P.M | ET
Consistent Linking, Tokenization, and Obfuscation for Regulatory-Grade De-Identification of Longitudinal Medical Data
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John Snow Labs’ Medical LLMs Now Available in Microsoft Azure Marketplace
John Snow Labs Wins Best Healthcare AI Application at the 2025 Global Gener…
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