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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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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
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Ambient AI Scribes: Redefining Clinical Documentation & Burnout
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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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