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Create Patient Cohorts
Use Medical Generative AI to Answer Patient Questions from Raw Clinical Data
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Anonymize and obfuscate structured, free text, and imaging data with over 99% accuracy
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Automate patient risk adjustment and HCC Coding from clinical notes
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Automatic & faster data abstraction, with a human in the loop
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Responsible AI with LangTest
Deliver safe and effective language models, by generating and running 100+ test types
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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
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Predict patient risk based on a holistic view of the entire medical record
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Accurate Extracting of Cancer Biomarkers from Free-Text Clinical Notes
Generative AI in Healthcare: Use Cases, Benefits, and Challenges
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Turnkey Deployment of Medical Language Models as Private API Endpoints
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Data Scientist at John Snow Labs. MD. MSc in Epidemiology, Health Policy and Management. Experienced in Biomedical Research and Data Science.
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Tips and Tricks on how to Annotate Assertion in Clinical Texts
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Mauro Nievas Offidani
When it comes to clinical annotation projects, many times NER is not enough. Suppose that you want to identify all the diseases that were diagnosed to a group of patients...