Institute for Clinical Evaluative Sciences

Cognitive biases associated with medical decisions: a systematic review

Gustavo Saposnik, Donald A. Redelmeier, Christian C. Ruff et al.

2016 · 950 Zit.

A new concordant partial AUC and partial c statistic for imbalanced data in the evaluation of machine learning algorithms

André Carrington, Paul Fieguth, Hammad Ali Qazi et al.

2020 · 157 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 · 109 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.

“AI’s gonna have an impact on everything in society, so it has to have an impact on public health”: a fundamental qualitative descriptive study of the implications of artificial intelligence for public health

J. Morgenstern, Laura C. Rosella, Mark Daley et al.

2021 · 107 Zit.

Artificial intelligence in gastroenterology and hepatology: how to advance clinical practice while ensuring health equity

Eugenia Uche-Anya, Adjoa Anyane‐Yeboa, Tyler M. Berzin et al.

2022 · 103 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 · 102 Zit.

Predicting population health with machine learning: a scoping review

J. Morgenstern, Emmalin Buajitti, Meghan O’Neill et al.

2020 · 92 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 · 83 Zit.

Systematic Review of Approaches to Preserve Machine Learning Performance in the Presence of Temporal Dataset Shift in Clinical Medicine

Lin Lawrence Guo, Stephen Pfohl, Jason Fries et al.

2021 · 79 Zit.

Performance of Large Language Models on Medical Oncology Examination Questions

Jack B. Longwell, Ian Hirsch, Fernando Binder et al.

2024 · 69 Zit.

Predictive risk algorithms in a population setting: an overview

Douglas G. Manuel, Laura C. Rosella, Deirdre Hennessy et al.

2012 · 49 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 · 42 Zit.

Cognitive Biases and Artificial Intelligence

Jonathan Wang, Donald A. Redelmeier

2024 · 33 Zit.

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

Hadeel Hassan, Amy R. Zipursky, Naveed Rabbani et al.

2025 · 27 Zit.