Institute for Clinical Evaluative Sciences

The safety of aprotinin and lysine-derived antifibrinolytic drugs in cardiac surgery: a meta-analysis

David Henry, PA Carless, Dean Fergusson et al.

2008 · 182 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 · 105 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 · 102 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 · 101 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.

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.

Performance of Large Language Models on Medical Oncology Examination Questions

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

2024 · 66 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.

WHAT SHOULD BE INCLUDED IN META-ANALYSES?

Dean Fergusson, Andreas Laupacis, L Salmi et al.

2000 · 41 Zit.

Machine learning models for diabetes management in acute care using electronic medical records: A systematic review

Amir Kamel Rahimi, Oliver J. Canfell, Wilkin Chan et al.

2022 · 38 Zit.

Cognitive Biases and Artificial Intelligence

Jonathan Wang, Donald A. Redelmeier

2024 · 32 Zit.

Comparison of machine learning and the regression-based EHMRG model for predicting early mortality in acute heart failure

David E. Austin, Douglas S. Lee, Chloe X. Wang et al.

2022 · 26 Zit.

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

Hadeel Hassan, Alvin Zipursky, Naveed Rabbani et al.

2025 · 25 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 · 23 Zit.