Baycrest Hospital

Age-related bias and artificial intelligence: a scoping review

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

2023 · 71 Zit.

Artificial Intelligence in Health Professions Education assessment: AMEE Guide No. 178

Ken Masters, Heather MacNeill, Jennifer Benjamin et al.

2025 · 33 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.

Ageism and Artificial Intelligence: Protocol for a Scoping Review

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

2022 · 14 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.

Creating Diverse and Inclusive Scientific Practices for Research Datasets and Dissemination

Julia W. Y. Kam, AmanPreet Badhwar, Valentina Borghesani et al.

2024 · 5 Zit.

Ageism and Artificial Intelligence: Protocol for a Scoping Review (Preprint)

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

2021 · 0 Zit.

PG59 Working with older simulated participants (SP): development of a collaborative framework

Cathy M. Smith, Nemat Alsaba, Lisa Guttman Sokoloff

2020 · 0 Zit.

Approaches to identify scenarios for data science implementations within healthcare settings: recommendations based on experiences at multiple academic institutions

Lillian Sung, Michael Brudno, Michael Caesar et al.

2025 · 0 Zit.

BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods

Krzysztof J. Gorgolewski, Fidel Alfaro‐Almagro, Tibor Auer et al.

2017 · 0 Zit.