Toronto Rehabilitation Institute
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Knowledge and Attitudes on Artificial Intelligence in Healthcare: A Provincial Survey Study of Medical Students
Nishila Mehta, Vinyas Harish, Krish Bilimoria et al.
2021 · 98 Zit.
Age-related bias and artificial intelligence: a scoping review
Charlene H. Chu, Simon Donato‐Woodger, Shehroz S. Khan et al.
2023 · 71 Zit.
Is primary health care ready for artificial intelligence? What do primary health care stakeholders say?
Amanda Terry, Jacqueline K. Kueper, Ron Beleno et al.
2022 · 63 Zit.
Knowledge of and Attitudes on Artificial Intelligence in Healthcare: A Provincial Survey Study of Medical Students
Nishila Mehta, Vinyas Harish, Krish Bilimoria et al.
2021 · 45 Zit.
Connecting artificial intelligence and primary care challenges: findings from a multi stakeholder collaborative consultation
Jacqueline K. Kueper, Amanda Terry, Ravninder Bahniwal et al.
2022 · 31 Zit.
The Future of Intelligent Healthcare: A Systematic Analysis and Discussion on the Integration and Impact of Robots Using Large Language Models for Healthcare
Souren Pashangpour, Goldie Nejat
2024 · 18 Zit.
Cheating among elementary school children: A machine learning approach
Li Zhao, Yi Zheng, Junbang Zhao et al.
2023 · 16 Zit.
Cracking the Chronic Pain code: A scoping review of Artificial Intelligence in Chronic Pain research
Md Asif Khan, Ryan G. L. Koh, Sajjad Rashidiani et al.
2024 · 14 Zit.
Ageism and Artificial Intelligence: Protocol for a Scoping Review
Charlene H. Chu, Kathleen Leslie, Jiamin Shi et al.
2022 · 14 Zit.
Artificial Intelligence-Based Models for Prediction of Mortality in ICU Patients: A Scoping Review
Orkideh Olang, Sana Mohseni, Ali Shahabinezhad et al.
2024 · 14 Zit.
Evolving with technology: Machine learning as an opportunity for operating room nurses to improve surgical care—A commentary
Cameron S. S. Irani, Charlene H. Chu
2022 · 7 Zit.
Strategies to Mitigate Age-Related Bias in Machine Learning: Scoping Review
Charlene H. Chu, Simon Donato‐Woodger, Shehroz S. Khan et al.
2024 · 7 Zit.
Connecting Artificial Intelligence and Primary Care Challenges: Findings from a Multi-Stakeholder Collaborative Consultation
Jacqueline K. Kueper, Amanda Terry, Ravninder Bahniwal et al.
2021 · 5 Zit.
Resonate: Reaching Excellence Through Equity, Diversity, and Inclusion in <scp>ISMRM</scp>
Esther A. H. Warnert, Lars Kasper, Carolyn C. Meltzer et al.
2020 · 3 Zit.
Check It Before You Wreck It: A Guide to STAR-ML for Screening Machine Learning Reporting in Research
Ryan G. L. Koh, Md Asif Khan, Sajjad Rashidiani et al.
2023 · 3 Zit.