VA Center for Clinical Management Research

Patient-Centered Pain Care Using Artificial Intelligence and Mobile Health Tools

John D. Piette, Sean Newman, Sarah L. Krein et al.

2022 · 110 Zit.

Learning About Machine Learning: The Promise and Pitfalls of Big Data and the Electronic Health Record

Rahul C. Deo, Brahmajee K. Nallamothu

2016 · 49 Zit.

Clinical applications of artificial intelligence and machine learning‐based methods in inflammatory bowel disease

Shirley Cohen‐Mekelburg, Sameer Berry, Ryan W. Stidham et al.

2021 · 20 Zit.

Privacy Gaps for Digital Cardiology Data

Jessica R. Golbus, W. Nicholson Price, Brahmajee K. Nallamothu

2020 · 11 Zit.

An Automatically Adaptive Digital Health Intervention to Decrease Opioid-Related Risk While Conserving Counselor Time: Quantitative Analysis of Treatment Decisions Based on Artificial Intelligence and Patient-Reported Risk Measures

John D. Piette, Laura Thomas, Sean Newman et al.

2023 · 11 Zit.

Replicating prediction algorithms for hospitalization and corticosteroid use in patients with inflammatory bowel disease

Ryan W. Gan, Diana Sun, Amanda R. Tatro et al.

2021 · 8 Zit.

The Physician Recommendation Coding System (PhyReCS)

Karen A. Scherr, Angela Fagerlin, Lillie D. Williamson et al.

2016 · 7 Zit.

Refining a Framework to Enhance Communication in the Emergency Department During the Diagnostic Process: An eDelphi Approach

Milisa Manojlovich, Amanda P Bettencourt, Courtney W. Mangus et al.

2024 · 6 Zit.

Consideration of Sociodemographics in Machine Learning-Driven Sepsis Risk Prediction

Katrina Hauschildt, Annie Pan, Taylor Bernstein et al.

2025 · 4 Zit.

Racial differences in laboratory testing as a potential mechanism for bias in AI: A matched cohort analysis in emergency department visits

Trenton Chang, Mark Nuppnau, Ying He et al.

2024 · 3 Zit.

Ethical and Legal Considerations for Responsible Use of Artificial Intelligence in Clinical Gastroenterology

Megan A. Adams, Andrew D. Feld

2025 · 1 Zit.

Can Artificial Intelligence and Machine Learning help us improve motor vehicle crash trauma triage?

R Jean, Akbar K. Waljee, Maggie Makar et al.

2025 · 1 Zit.

The Data-Augmented, Technology-Assisted Medical Decision Making (DATA-MD) Curriculum: A Machine Learning and Artificial Intelligence Curriculum for Clinical Trainees

Andrew Wong, Jeremy B. Sussman, Nicholson Price et al.

2025 · 0 Zit.

Evaluation of Information About Cardiovascular Implications of Gender-Affirming Care From Online Chat-based Artificial Intelligence Systems

Brototo Deb, Michael G. Fradley, Stephen Cook et al.

2024 · 0 Zit.