Mila - Quebec Artificial Intelligence Institute

Machine learning for medical imaging: methodological failures and recommendations for the future

Gaël Varoquaux, Veronika Cheplygina

2022 · 543 Zit.

Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

Baptiste Vasey, Myura Nagendran, Bruce Campbell et al.

2022 · 428 Zit.

Metrics reloaded: recommendations for image analysis validation

Lena Maier‐Hein, Annika Reinke, Patrick Godau et al.

2024 · 342 Zit.

Mapping the landscape of Artificial Intelligence applications against COVID-19

Joseph Bullock, Alexandra Luccioni, Katherine Hoffman Pham et al.

2020 · 336 Zit.

Artificial intelligence in nursing: Priorities and opportunities from an international invitational think‐tank of the Nursing and Artificial Intelligence Leadership Collaborative

Charlene Ronquillo, Laura‐Maria Peltonen, Lisiane Pruinelli et al.

2021 · 334 Zit.

Pre-trained Language Models in Biomedical Domain: A Systematic Survey

Benyou Wang, Qianqian Xie, Jiahuan Pei et al.

2023 · 154 Zit.

Understanding metric-related pitfalls in image analysis validation

Annika Reinke, Minu D. Tizabi, Michael Baumgartner et al.

2024 · 154 Zit.

Artificial Intelligence and Ethics in Dentistry: A Scoping Review

Carl‐Maria Mörch, Saadet Atsü, Wenji Cai et al.

2021 · 150 Zit.

Application of Artificial Intelligence in Community-Based Primary Health Care: Systematic Scoping Review and Critical Appraisal

Samira Abbasgholizadeh Rahimi, France Légaré, Gauri Sharma et al.

2021 · 132 Zit.

Application of Artificial Intelligence in Shared Decision Making: Scoping Review

Samira Abbasgholizadeh Rahimi, Michelle Cwintal, Yuhui Huang et al.

2022 · 108 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.

Age-related bias and artificial intelligence: a scoping review

Charlene H. Chu, Simon Donato‐Woodger, Shehroz S. Khan et al.

2023 · 71 Zit.

Filling gaps in trustworthy development of AI

Shahar Avin, Haydn Belfield, Miles Brundage et al.

2021 · 47 Zit.

Implementing Machine Learning in Interventional Cardiology: The Benefits Are Worth the Trouble

Walid Ben Ali, Ahmad Pesaranghader, Robert Avram et al.

2021 · 47 Zit.

Exploring the roles of artificial intelligence in surgical education: A scoping review

Elif Bilgiç, Andrew Gorgy, Alison Yang et al.

2021 · 44 Zit.