SickKids Foundation
Relevante Arbeiten
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.