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Toronto Rehabilitation Institute

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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 · 102 Zit.

Age-related bias and artificial intelligence: a scoping review

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

2023 · 75 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 · 65 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 · 22 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 · 15 Zit.

Artificial Intelligence-Based Models for Prediction of Mortality in ICU Patients: A Scoping Review

Orkideh Olang, Sana Mohseni, Ali Shahabinezhad et al.

2024 · 15 Zit.

Ageism and Artificial Intelligence: Protocol for a Scoping Review

Charlene H. Chu, Kathleen Leslie, Jiamin Shi et al.

2022 · 14 Zit.

ChatGPT and retinal disease: a cross-sectional study on AI comprehension of clinical guidelines

Michael Balas, Efrem D. Mandelcorn, Peng Yan et al.

2024 · 13 Zit.

Strategies to Mitigate Age-Related Bias in Machine Learning: Scoping Review

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

2024 · 10 Zit.

Development of a machine learning-based acuity score prediction model for virtual care settings

Justin N. Hall, Ron Galaev, Marina Gavrilov et al.

2023 · 9 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 · 8 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.