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A foundational vision transformer improves diagnostic performance for electrocardiograms., , , , , , , , , and 2 other author(s). npj Digit. Medicine, (2023)Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients., , , , , , , , , and 6 other author(s). CoRR, (2021)Heterogeneous Graph Embeddings of Electronic Health Records Improve Critical Care Disease Predictions., , , , , , , , , and 5 other author(s). AIME, volume 12299 of Lecture Notes in Computer Science, page 14-25. Springer, (2020)Generative Large Language Models are autonomous practitioners of evidence-based medicine., , , , , , , , , and 10 other author(s). CoRR, (2024)Contrastive learning improves critical event prediction in COVID-19 patients., , , , , , , , , and 8 other author(s). Patterns, 2 (12): 100389 (2021)Relational Learning Improves Prediction of Mortality in COVID-19 in the Intensive Care Unit., , , , , , , , and . IEEE Trans. Big Data, 7 (1): 38-44 (2021)HeartBEiT: Vision Transformer for Electrocardiogram Data Improves Diagnostic Performance at Low Sample Sizes., , , , , , , , , and 2 other author(s). CoRR, (2022)