OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 13.03.2026, 11:02

SickKids Foundation

33.171 Arbeiten3.662.964 Zitationen
Land: CATyp: funder

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 · 1.438 Zit.

Transparency and reproducibility in artificial intelligence

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

2020 · 469 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 · 106 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 · 100 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 · 96 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 · 73 Zit.

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

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

2023 · 51 Zit.

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

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

2023 · 46 Zit.

Artificial intelligence extension of the OSCAR‐IB criteria

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

2021 · 46 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 · 39 Zit.

THE ABILITY OF ARTIFICIAL INTELLIGENCE CHATBOTS ChatGPT AND GOOGLE BARD TO ACCURATELY CONVEY PREOPERATIVE INFORMATION FOR PATIENTS UNDERGOING OPHTHALMIC SURGERIES

Nikhil S. Patil, Ryan S. Huang, Andrew Mihalache et al.

2024 · 24 Zit.

Regulating the Safety of Health-Related Artificial Intelligence

Michael Da Silva, Colleen M. Flood, Anna Goldenberg et al.

2022 · 22 Zit.

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

Hadeel Hassan, Alvin Zipursky, Naveed Rabbani et al.

2025 · 22 Zit.

Answering real-world clinical questions using large language model, retrieval-augmented generation, and agentic systems

Yen Low, Michael L. Jackson, Rebecca J. Hyde et al.

2025 · 20 Zit.

CANAIRI: the Collaboration for Translational Artificial Intelligence Trials in healthcare

Melissa D. McCradden, Alex John London, Judy Wawira Gichoya et al.

2025 · 18 Zit.