Uniformed Services University of the Health Sciences
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
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 · 556 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.
Adopting and expanding ethical principles for generative artificial intelligence from military to healthcare
David Oniani, Jordan Hilsman, Yifan Peng et al.
2023 · 110 Zit.
Ethical Shades of Gray: International Frequency of Scientific Misconduct and Questionable Research Practices in Health Professions Education
Anthony R. Artino, Erik W. Driessen, Lauren A. Maggio
2018 · 89 Zit.
Introduction to Artificial Intelligence and Machine Learning for Pathology
James H. Harrison, John R. Gilbertson, Matthew G. Hanna et al.
2021 · 81 Zit.
Factors associated with scientific misconduct and questionable research practices in health professions education
Lauren A. Maggio, Ting Dong, Erik W. Driessen et al.
2019 · 60 Zit.
Assessing open-book examination in medical education: The time is now
Ivry Zagury‐Orly, Steven J. Durning
2020 · 55 Zit.
Ethical Challenges Posed by Big Data.
Edmund G. Howe, Falicia Elenberg
2020 · 35 Zit.
Natural Language Processing and Its Use in Orthopaedic Research
John M. Wyatt, Gregory J Booth, Ashton H. Goldman
2021 · 25 Zit.
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 · 23 Zit.
Humans and machines: Moving towards a more symbiotic approach to learning clinical reasoning
Ralph Pinnock, Jenny McDonald, Darren Ritchie et al.
2019 · 18 Zit.
Accelerating medical education with ChatGPT: an implementation guide
Justin G. Peacock, Andrea Austin, Marina Shapiro et al.
2023 · 15 Zit.
Revolutionizing Combat Casualty Care: The Power of Digital Twins in Optimizing Casualty Care Through Passive Data Collection
Jeremy Pamplin, Mason H Remondelli, Darshan Thota et al.
2024 · 13 Zit.
The Need for Artificial Intelligence Curriculum in Military Medical Education
Jonathan Spirnak, Sameer Antani
2023 · 9 Zit.
Deep Learning Algorithms for Brain Imaging
Thaddeus Haight, Arman Eshaghi
2023 · 8 Zit.