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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
Regulatory-Grade Data Abstraction
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
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
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Predict patient risk based on a holistic view of the entire medical record
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Automated Testing of Bias, Fairness, and Robustness of Language Models in the Generative AI Lab
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Cleanlab: Making AI Work with Messy, Real-World Healthcare and NLP Data
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Dominika Garczynska
The Quest for Proactive and Reactive Healthcare
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Natural Language Technologies: Current Status and Future Evolution
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Industry Survey Analysis: AI in Healthcare 2022
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Current State-of-the-Art Accuracy for Key Medical Natural Language Processing Benchmarks
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