University of Oklahoma Health Sciences Center

Recommendations for Performance Evaluation of Machine Learning in Pathology: A Concept Paper From the College of American Pathologists

Matthew G. Hanna, Niels Olson, Mark D. Zarella et al.

2023 · 24 Zit.

Algorithmic identification of discrepancies between published ratios and their reported confidence intervals and <i>P</i>-values

Constantin Georgescu, Jonathan D. Wren

2017 · 23 Zit.

Leveraging Generative Artificial Intelligence to Improve Motivation and Retrieval in Higher Education Learners

Noahlana Monzon, Franklin A. Hays

2025 · 19 Zit.

Harnessing the Power of Generative Artificial Intelligence in Pathology Education: Opportunities, Challenges, and Future Directions

Matthew J. Cecchini, M Borowitz, Eric F. Glassy et al.

2024 · 16 Zit.

Pharmacists’ perceptions of artificial intelligence: A national survey

Kyle A Gustafson, Casey Rowe, Paul Gavaza et al.

2024 · 12 Zit.

Survey of clinical informatics fellows graduating 2016–2024: experiences before and during fellowship

Ellen Kim, Melissa Van Cain, Jonathan D. Hron

2023 · 11 Zit.

The Impact and Role of Artificial Intelligence (AI) in Healthcare: Systematic Review

Kavya Singh, Ashish A. Prabhu, Navjeet Kaur

2025 · 11 Zit.

Pharmacy faculty and students perceptions of artificial intelligence: A National Survey

Kyle A Gustafson, Sarah Berman, Paul Gavaza et al.

2025 · 9 Zit.

DPA–ESDIP–JSDP Task Force for Worldwide Adoption of Digital Pathology

Catarina Eloy, Andrey Bychkov, Liron Pantanowitz et al.

2021 · 9 Zit.

Ethical considerations for the application of artificial intelligence in pediatric surgery

Katherine B. Snyder, Ryan Stewart, Catherine J. Hunter

2024 · 7 Zit.

Use Cases for Digital Pathology

Wenyi Luo, Lewis Hassell

2015 · 6 Zit.

Assessment of ChatGPT generated educational material for head and neck surgery counseling

Lana Mnajjed, Rusha Patel

2024 · 5 Zit.

Health Equity Considerations in the Age of Artificial Intelligence

Joshua Budhu, Noriko Anderson, Chantale Branson et al.

2025 · 4 Zit.

Artificial Intelligence and Machine Learning in Precision Health: An Overview of Methods, Challenges, and Future Directions

R. Avery Bennett, Mehdi Hemmati, Rajagopal Ramesh et al.

2024 · 4 Zit.

Predicting Successful Treatment Completion Using Baseline Case Characteristics through Machine Learning and Ensemble Modeling: A Two-Step Approach

Xiaolan Liao, Hairong Song, David Bard

2024 · 3 Zit.