VA Pittsburgh Healthcare System

Use of artificial intelligence in critical care: opportunities and obstacles

Michael R. Pinsky, Armando Bedoya, Azra Bihorac et al.

2024 · 114 Zit.

Utilizing Artificial Intelligence to Enhance Health Equity Among Patients with Heart Failure

Amber E. Johnson, LaPrincess C. Brewer, Melvin R. Echols et al.

2022 · 36 Zit.

Engaging clinicians early during the development of a graphical user display of an intelligent alerting system at the bedside

Stephanie Helman, Martha Ann Terry, Tiffany Pellathy et al.

2021 · 27 Zit.

Bridging the Gap: Can Large Language Models Match Human Expertise in Writing Neurosurgical Operative Notes?

Abdullah Ali, Rohit Prem Kumar, Hanish Polavarapu et al.

2024 · 12 Zit.

Design and development of a machine-learning-driven opioid overdose risk prediction tool integrated in electronic health records in primary care settings

Khoa A. Nguyen, Debbie L. Wilson, Julie Diiulio et al.

2024 · 8 Zit.

A Participant-Centered Approach to Understanding Risks and Benefits of Participation in Research Informed by the Kidney Precision Medicine Project

Catherine R. Butler, Paul S. Appelbaum, Heather Ascani et al.

2021 · 6 Zit.

A roadmap to reduce information inequities in disability with digital health and natural language processing

Denis Newman-Griffis, Max Hurwitz, Gina McKernan et al.

2022 · 6 Zit.

Using human factors methods to mitigate bias in artificial intelligence-based clinical decision support

Laura G. Militello, Julie Diiulio, Debbie L. Wilson et al.

2024 · 6 Zit.

ChatGPT as Valuable Patient Education Resource in Breast Cancer Care

Erin M. Bayley, Hilary Y. Liu, Mario Alessandri‐Bonetti et al.

2024 · 4 Zit.

Getting Started on Artificial Intelligence in Health Care and Clinical Research: Includes Rigor Checklist for Authors and Reviewers

Chandan K. Sen, Deeptankar DeMazumder

2025 · 3 Zit.

Protocol for a Single-Arm Pilot Clinical Trial: Developing and Evaluating a Machine Learning Opioid Prediction & Risk-Stratification E-Platform (DEMONSTRATE)

Je-Won J. Hong, Debbie L. Wilson, Khoa A. Nguyen et al.

2025 · 1 Zit.

Examining the Readability of AtlasGPT, the Premiere Resource for Neurosurgical Education

Raj Swaroop Lavadi, Ben Carnovale, Zayaan Tirmizi et al.

2024 · 0 Zit.

Do machine learning models add value in assessing operative stress?

Michael A. Jacobs, Paula K. Shireman, Jonathan C. Silverstein et al.

2026 · 0 Zit.

Large language models in artificial intelligence to answer patient questions in spine surgery: an evaluation of current evidence

Janam PATEL, Zayaan Tirmizi, Ayesha Akbar Waheed et al.

2026 · 0 Zit.