McGill University Health Centre
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Canadian Association of Radiologists White Paper on Artificial Intelligence in Radiology
An Tang, Roger Tam, Alexandre Cadrin-Chênevert et al.
2018 · 496 Zit.
Effect of Artificial Intelligence Tutoring vs Expert Instruction on Learning Simulated Surgical Skills Among Medical Students
Ali M. Fazlollahi, Mohamad Bakhaidar, Ahmad Alsayegh et al.
2022 · 210 Zit.
Brief History of Artificial Intelligence
Nikesh Muthukrishnan, Farhad Maleki, Katie Ovens et al.
2020 · 205 Zit.
COVID-CT-MD, COVID-19 computed tomography scan dataset applicable in machine learning and deep learning
Parnian Afshar, Shahin Heidarian, Nastaran Enshaei et al.
2021 · 201 Zit.
Canadian Association of Radiologists White Paper on Ethical and Legal Issues Related to Artificial Intelligence in Radiology
Jacob L. Jaremko, Marleine Azar, Rebecca Jaremko Bromwich et al.
2019 · 185 Zit.
A systematic review of the diagnostic accuracy of artificial intelligence-based computer programs to analyze chest x-rays for pulmonary tuberculosis
Miriam Harris, Amy Qi, Luke Jeagal et al.
2019 · 179 Zit.
Randomized controlled trials of aprotinin in cardiac surgery: could clinical equipoise have stopped the bleeding?
Dean Fergusson, Kathleen Cranley Glass, Brian Hutton et al.
2005 · 163 Zit.
Demystification of AI-driven medical image interpretation: past, present and future
Peter Savadjiev, Jaron Chong, Anthony Dohan et al.
2018 · 150 Zit.
Machine Learning Algorithm Validation
Farhad Maleki, Nikesh Muthukrishnan, Katie Ovens et al.
2020 · 125 Zit.
Generalizability of Machine Learning Models: Quantitative Evaluation of Three Methodological Pitfalls
Farhad Maleki, Katie Ovens, Rajiv Gupta et al.
2022 · 111 Zit.
Application of Artificial Intelligence in Shared Decision Making: Scoping Review
Samira Abbasgholizadeh Rahimi, Michelle Cwintal, Yuhui Huang et al.
2022 · 107 Zit.
Artificial Intelligence and Surgery: Ethical Dilemmas and Open Issues
Lorenzo Cobianchi, Juan M. Verde, Tyler J. Loftus et al.
2022 · 93 Zit.
Accuracy, Reliability, and Comprehensibility of ChatGPT-Generated Medical Responses for Patients With Nonalcoholic Fatty Liver Disease
Nicola Pugliese, Vincent Wai‐Sun Wong, Jörn M. Schattenberg et al.
2023 · 81 Zit.
Harnessing the potential of large language models in medical education: promise and pitfalls
Trista M. Benítez, Yueyuan Xu, J. Donald Boudreau et al.
2024 · 80 Zit.
Curriculum Frameworks and Educational Programs in AI for Medical Students, Residents, and Practicing Physicians: Scoping Review
Raymond Tolentino, Ashkan Baradaran, Geneviève Gore et al.
2024 · 78 Zit.