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A normative framework for artificial intelligence as a sociotechnical system in healthcare.

, , , and . Patterns, 4 (11): 100864 (November 2023)

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The silent trial - the bridge between bench-to-bedside clinical AI applications., , , , , , , and . Frontiers Digit. Health, (2022)No Fair Lunch: A Causal Perspective on Dataset Bias in Machine Learning for Medical Imaging., , , , , and . CoRR, (2023)What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use., , , and . MLHC, volume 106 of Proceedings of Machine Learning Research, page 359-380. PMLR, (2019)Ethics methods are required as part of reporting guidelines for artificial intelligence in healthcare., , , , , , , , , and . Nat. Mach. Intell., 4 (4): 316-317 (2022)An integration engineering framework for machine learning in healthcare., , , , , , , , , and 3 other author(s). Frontiers Digit. Health, (2022)Issues and Challenges in Applications of Artificial Intelligence to Nuclear Medicine - The Bethesda Report (AI Summit 2022)., , , , , , , , , and 3 other author(s). CoRR, (2022)What's fair is... fair? Presenting JustEFAB, an ethical framework for operationalizing medical ethics and social justice in the integration of clinical machine learning: JustEFAB., , , , , , , , , and 5 other author(s). FAccT, page 1505-1519. ACM, (2023)Patient safety and quality improvement: Ethical principles for a regulatory approach to bias in healthcare machine learning., , , , , and . J. Am. Medical Informatics Assoc., 27 (12): 2024-2027 (2020)The TRIPOD-P reporting guideline for improving the integrity and transparency of predictive analytics in healthcare through study protocols., , , , , , , , and . Nat. Mac. Intell., 5 (8): 816-817 (August 2023)A normative framework for artificial intelligence as a sociotechnical system in healthcare., , , and . Patterns, 4 (11): 100864 (November 2023)