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Meistzitierte Publikationen im Bereich Gesundheit & MedTech

TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods

Gary S. Collins, Karel G.M. Moons, Paula Dhiman et al.

2024 · 1.594 Zit.

Do no harm: a roadmap for responsible machine learning for health care

Jenna Wiens, Suchi Saria, Mark Sendak et al.

2019 · 916 Zit.

Transparency and reproducibility in artificial intelligence

Benjamin Haibe‐Kains, George Alexandru Adam, Ahmed Hosny et al.

2020 · 478 Zit.

A Research Ethics Framework for the Clinical Translation of Healthcare Machine Learning

Melissa D. McCradden, James A. Anderson, Elizabeth A. Stephenson et al.

2022 · 107 Zit.

Patient safety and quality improvement: Ethical principles for a regulatory approach to bias in healthcare machine learning

Melissa D. McCradden, Shalmali Joshi, James A. Anderson et al.

2020 · 101 Zit.

APPRAISE-AI Tool for Quantitative Evaluation of AI Studies for Clinical Decision Support

Jethro C.C. Kwong, Adree Khondker, Katherine Lajkosz et al.

2023 · 100 Zit.

Clinical research underlies ethical integration of healthcare artificial intelligence

Melissa D. McCradden, Elizabeth A. Stephenson, James A. Anderson

2020 · 84 Zit.

Evaluation of domain generalization and adaptation on improving model robustness to temporal dataset shift in clinical medicine

Lin Guo, Stephen Pfohl, Jason Fries et al.

2022 · 77 Zit.

Ethical Considerations for Artificial Intelligence in Medical Imaging: Data Collection, Development, and Evaluation

Jonathan Herington, Melissa D. McCradden, Kathleen Creel et al.

2023 · 52 Zit.

Ethical Considerations for Artificial Intelligence in Medical Imaging: Deployment and Governance

Jonathan Herington, Melissa D. McCradden, Kathleen Creel et al.

2023 · 49 Zit.

Artificial intelligence extension of the OSCAR‐IB criteria

Axel Petzold, Philipp Albrecht, Laura J. Balcer et al.

2021 · 47 Zit.

A multi-center study on the adaptability of a shared foundation model for electronic health records

Lin Guo, Jason Fries, Ethan Steinberg et al.

2024 · 41 Zit.

Author Correction: Do no harm: a roadmap for responsible machine learning for health care

Jenna Wiens, Suchi Saria, Mark Sendak et al.

2019 · 30 Zit.

Patient wisdom should be incorporated into health AI to avoid algorithmic paternalism

Melissa D. McCradden, Roxanne Kirsch

2023 · 28 Zit.

Clinical Implementation of Artificial Intelligence Scribes in Health Care: A Systematic Review

Hadeel Hassan, Alvin Zipursky, Naveed Rabbani et al.

2025 · 25 Zit.