Penn State Milton S. Hershey Medical Center

Understanding and Confronting Our Mistakes: The Epidemiology of Error in Radiology and Strategies for Error Reduction

Michael A. Bruno, Eric A. Walker, Hani H. Abujudeh

2015 · 558 Zit.

Medical Student Perspectives on the Impact of Artificial Intelligence on the Practice of Medicine

Christian Park, Paul H. Yi, Eliot L. Siegel

2020 · 159 Zit.

Can Artificial Intelligence Improve the Readability of Patient Education Materials?

Gregory J. Kirchner, Raymond Y. Kim, John Weddle et al.

2023 · 154 Zit.

Comparison of GPT-3.5, GPT-4, and human user performance on a practice ophthalmology written examination

John C. Lin, David N. Younessi, Sai S. Kurapati et al.

2023 · 116 Zit.

Perceptual and Interpretive Error in Diagnostic Radiology—Causes and Potential Solutions

Andrew J. Degnan, Emily H. Ghobadi, Peter Hardy et al.

2018 · 112 Zit.

Leveraging Machine Learning Techniques to Forecast Patient Prognosis After Percutaneous Coronary Intervention

Chad Zack, Conor Senecal, Yaron Kinar et al.

2019 · 94 Zit.

Machine learning concepts, concerns and opportunities for a pediatric radiologist

Michael M. Moore, Einat Slonimsky, Aaron Long et al.

2019 · 58 Zit.

When Artificial Intelligence Models Surpass Physician Performance: Medical Malpractice Liability in an Era of Advanced Artificial Intelligence

John D. Banja, Rolf Dieter Hollstein, Michael A. Bruno

2022 · 49 Zit.

ChatGPT Provides Unsatisfactory Responses to Frequently Asked Questions Regarding Anterior Cruciate Ligament Reconstruction

William L. Johns, Brandon J. Martinazzi, Benjamin Miltenberg et al.

2024 · 44 Zit.

Defining Glioblastoma Resectability Through the Wisdom of the Crowd: A Proof-of-Principle Study

Adam M. Sonabend, Brad E. Zacharia, Michael Cloney et al.

2016 · 43 Zit.

Developing and testing an automated qualitative assistant (AQUA) to support qualitative analysis

Robert P. Lennon, Robert Fraleigh, Lauren J. Van Scoy et al.

2021 · 42 Zit.

Evaluating Report Text Variation and Informativeness: Natural Language Processing of CT Chest Imaging for Pulmonary Embolism

Marco D. Huesch, Rekha Cherian, Sam Labib et al.

2018 · 29 Zit.

Artificial intelligence in pediatric surgery

Anthony Tsai, Stewart R. Carter, Alicia Greene

2024 · 28 Zit.

Performance of GPT-3.5 and GPT-4 on standardized urology knowledge assessment items in the United States: a descriptive study

Max Yudovich, Elizaveta Makarova, Christian Michael Hague et al.

2024 · 22 Zit.

Evaluation of the portability of computable phenotypes with natural language processing in the eMERGE network

Jennifer A. Pacheco, Luke V. Rasmussen, Ken Wiley et al.

2023 · 21 Zit.