Veterans Health Administration

Artificial Hallucinations in ChatGPT: Implications in Scientific Writing

Hussam Alkaissi, Samy I. McFarlane

2023 · 1.431 Zit.

Patient Perspectives on the Use of Artificial Intelligence for Skin Cancer Screening

Caroline A. Nelson, Lourdes M. Pérez-Chada, Andrew Creadore et al.

2020 · 271 Zit.

An analysis of electronic health record-related patient safety concerns

Derek W Meeks, Michael W. Smith, Leslie Taylor et al.

2014 · 209 Zit.

Reinventing Radiology: Big Data and the Future of Medical Imaging

Michael Morris, Babak Saboury, Brian J. Burkett et al.

2017 · 81 Zit.

Meeting the Moment: Addressing Barriers and Facilitating Clinical Adoption of Artificial Intelligence in Medical Diagnosis

Julia Adler‐Milstein, Nakul Aggarwal, Mahnoor Ahmed et al.

2022 · 74 Zit.

Lessons learned from implementing service-oriented clinical decision support at four sites: A qualitative study

Adam Wright, Dean F. Sittig, Joan S. Ash et al.

2015 · 53 Zit.

Risk Stratification of Men with Gleason Score 7 to 10 Tumors by Primary and Secondary Gleason Score: Results from the SEARCH Database

David E. Kang, Nicholas J. Fitzsimons, Joseph C. Presti et al.

2007 · 52 Zit.

Artificial intelligence in digital pathology — time for a reality check

Arpit Aggarwal, Satvika Bharadwaj, Germán Corredor et al.

2025 · 43 Zit.

Cognitive Debiasing Strategies: A Faculty Development Workshop for Clinical Teachers in Emergency Medicine

Michelle Daniel, Michele Carney, Sorabh Khandelwal et al.

2017 · 32 Zit.

Red teaming ChatGPT in medicine to yield real-world insights on model behavior

Crystal Chang, Hodan Farah, Haiwen Gui et al.

2025 · 27 Zit.

Open questions and research gaps for monitoring and updating AI-enabled tools in clinical settings

Sharon E. Davis, Colin G. Walsh, Michael E. Matheny

2022 · 26 Zit.

Clinical Application of Computational Methods in Precision Oncology

Orestis A. Panagiotou, Lori Hoffman Högg, Hedvig Hricak et al.

2020 · 24 Zit.

Sustainable deployment of clinical prediction tools—a 360° approach to model maintenance

Sharon E. Davis, Peter J. Embí, Michael E. Matheny

2024 · 21 Zit.

A framework for understanding label leakage in machine learning for health care

Sharon E. Davis, Michael E. Matheny, Suresh Balu et al.

2023 · 20 Zit.

Emerging algorithmic bias: fairness drift as the next dimension of model maintenance and sustainability

Sharon E. Davis, Chad Dorn, Daniel Park et al.

2025 · 18 Zit.