Скачать или смотреть Epic COMET AI: Predicting Patient Outcomes & Differential Diagnosis with 115 Billion Medical Events

Dive into the groundbreaking Epic COMET (Cosmos Medical Event Transformer) research paper that's revolutionizing healthcare AI. Learn how this foundation model, trained on 115 billion medical events from 118 million patients across Epic Cosmos, uses transformer architecture to predict patient outcomes, generate differential diagnoses weeks in advance, and improve clinical decision-making. We explore the 78 real-world clinical tasks where COMET outperformed task-specific models—from ASCVD risk prediction to early pancreatic cancer detection—without any fine-tuning. Discover how Epic's largest scaling-law study shows medical AI improves with scale, reaching up to 1 billion parameters. Perfect for health informaticists, clinicians, data scientists, and anyone interested in the future of predictive analytics and AI-powered medicine. Research available on arXiv in collaboration with Yale and Microsoft researchers.

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