University of Utah
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Acknowledging the use of human cadaveric tissues in research papers: Recommendations from anatomical journal editors
Joe Iwanaga, Vishram Singh, Aiji Ohtsuka et al.
2020 · 550 Zit.
Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement
J. Raymond Geis, Adrian P. Brady, Carol C. Wu et al.
2019 · 344 Zit.
Using ChatGPT to evaluate cancer myths and misconceptions: artificial intelligence and cancer information
Skyler B. Johnson, Andy J. King, Echo L. Warner et al.
2023 · 285 Zit.
Using artificial intelligence methods for systematic review in health sciences: A systematic review
Aymeric Blaizot, Sajesh K. Veettil, Pantakarn Saidoung et al.
2022 · 201 Zit.
Artificial Intelligence in Ophthalmology: A Comparative Analysis of GPT-3.5, GPT-4, and Human Expertise in Answering StatPearls Questions
Majid Moshirfar, Amal W. Altaf, Isabella M. Stoakes et al.
2023 · 132 Zit.
The Use of ChatGPT to Assist in Diagnosing Glaucoma Based on Clinical Case Reports
Mohammad Delsoz, Hina Raja, Yeganeh Madadi et al.
2023 · 116 Zit.
Ethics of artificial intelligence in radiology: summary of the joint European and North American multisociety statement
J. Raymond Geis, Adrian P. Brady, Carol C. Wu et al.
2019 · 116 Zit.
Perceptual and Interpretive Error in Diagnostic Radiology—Causes and Potential Solutions
Andrew J. Degnan, Emily H. Ghobadi, Peter Hardy et al.
2018 · 114 Zit.
Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement
J. Raymond Geis, Adrian P. Brady, Carol C. Wu et al.
2019 · 113 Zit.
Domain adaptation for biomedical image segmentation using adversarial training
Mehran Javanmardi, Tolga Taşdizen
2018 · 111 Zit.
How can artificial intelligence decrease cognitive and work burden for front line practitioners?
Tejal K. Gandhi, David C. Classen, Christine A. Sinsky et al.
2023 · 110 Zit.
Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement
J. Raymond Geis, Adrian P. Brady, Carol C. Wu et al.
2019 · 92 Zit.
Automatically explaining machine learning prediction results: a demonstration on type 2 diabetes risk prediction
Gang Luo
2016 · 89 Zit.
Enhancing Triage Efficiency and Accuracy in Emergency Rooms for Patients with Metastatic Prostate Cancer: A Retrospective Analysis of Artificial Intelligence-Assisted Triage Using ChatGPT 4.0
Georges Gebrael, Kamal Kant Sahu, Beverly Chigarira et al.
2023 · 79 Zit.
The Ethics of Artificial Intelligence in Pathology and Laboratory Medicine: Principles and Practice
Brian R. Jackson, Ye Ye, James M. Crawford et al.
2021 · 74 Zit.