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Towards Expert-Level Medical Question Answering with Large Language Models.

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Gerhard Pfohl

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The Effectiveness of Multitask Learning for Phenotyping with Electronic Health Records Data., , , , , и . PSB, стр. 18-29. (2019)Net benefit, calibration, threshold selection, and training objectives for algorithmic fairness in healthcare., , , , , и . FAccT, стр. 1039-1052. ACM, (2022)Predicting Inpatient Discharge Prioritization With Electronic Health Records., , , , , , , , , и . CoRR, (2018)Towards Expert-Level Medical Question Answering with Large Language Models., , , , , , , , , и 21 other автор(ы). CoRR, (2023)Considerations in the reliability and fairness audits of predictive models for advance care planning., , , , , , , , , и 17 other автор(ы). Frontiers Digit. Health, (2022)Improving the Fairness of Chest X-ray Classifiers., , , , , и . CHIL, том 174 из Proceedings of Machine Learning Research, стр. 204-233. PMLR, (2022)Creating Fair Models of Atherosclerotic Cardiovascular Disease Risk., , , , , и . AIES, стр. 271-278. ACM, (2019)Machine Learning for Health (ML4H) 2021., , , , , , , , , и 2 other автор(ы). ML4H@NeurIPS, том 158 из Proceedings of Machine Learning Research, стр. 1-12. PMLR, (2021)Large Language Models Encode Clinical Knowledge., , , , , , , , , и 20 other автор(ы). CoRR, (2022)The Case for Globalizing Fairness: A Mixed Methods Study on Colonialism, AI, and Health in Africa., , , , , , , , , и . CoRR, (2024)