Kingston Health Sciences Centre

Medical students need artificial intelligence and machine learning training

Aidan Pucchio, Elizabeth A. Eisenhauer, Fábio Ynoe de Moraes

2021 · 60 Zit.

ChatGPT and assistive AI in structured radiology reporting: A systematic review

Ethan Sacoransky, Benjamin Y. M. Kwan, Donald Soboleski

2024 · 44 Zit.

The Subgroup Imperative: Chest Radiograph Classifier Generalization Gaps in Patient, Setting, and Pathology Subgroups

Monish Ahluwalia, Mohamed Abdalla, James K. Sanayei et al.

2023 · 23 Zit.

Artificial intelligence in the medical profession: ready or not, here AI comes

Aidan Pucchio, Joshua Del Papa, Fábio Ynoe de Moraes

2022 · 22 Zit.

Checklist for Artificial Intelligence in Medical Imaging Reporting Adherence in Peer-Reviewed and Preprint Manuscripts With the Highest Altmetric Attention Scores: A Meta-Research Study

Umaseh Sivanesan, Kay Wu, Matthew D. F. McInnes et al.

2022 · 17 Zit.

Deep learning for collateral evaluation in ischemic stroke with imbalanced data

Mumu Aktar, Jonatan Reyes, Donatella Tampieri et al.

2023 · 10 Zit.

A Survey of Perspectives and Educational Needs of Canadian Oncology Residents on Artificial Intelligence

Fernanda Malucelli Favorito, Laura Collie, Thomas Kennedy et al.

2024 · 4 Zit.

Perceptions and Insights: A Qualitative Assessment of an AI-Assisted Psychiatric Triage System Implemented in an Outpatient Hospital Setting

Oleksandr Knyahnytskyi, Jazmin Eadie, Kimia Asadpour et al.

2025 · 3 Zit.

The need for artificial intelligence curriculum in medical education: A Canadian cross-sectional study of future oncology trainees.

Aidan Pucchio, Raahulan Rathagirishnan, Natasha Caton et al.

2022 · 2 Zit.

Med-ImageTools: An open-source Python package for robust data processing pipelines and curating medical imaging data

Sejin Kim, Michal Kazmierski, Kevin Qu et al.

2023 · 2 Zit.

Med-ImageTools: An open-source Python package for robust data processing pipelines and curating medical imaging data

Sejin Kim, Michal Kazmierski, Kevin Qu et al.

2024 · 2 Zit.

R WE ready for reimbursement? A round up of developments in real-world evidence relating to health technology assessment: part 20

Paul Arora, Sreeram V Ramagopalan

2025 · 1 Zit.

AI in oncology: Resident perspectives by gender and tech literacy.

Fernanda Malucelli Favorito, Laura Collie, Thomas Kennedy et al.

2024 · 1 Zit.

Perceptions and insights: A qualitative assessment of an AI-assisted psychiatric triage system implemented in an outpatient hospital setting

Oleksandr Knyahnytskyi, Jazmin Eadie, Kimia Asadpour et al.

2025 · 1 Zit.

Evaluating ChatGPT’s ability to simplify scientific abstracts for clinicians and the public

Esra Dogru-Huzmeli, Sarah Moore-Vasram, Chetan Phadke et al.

2025 · 1 Zit.