Trillium Health Centre

Priorities for successful use of artificial intelligence by public health organizations: a literature review

Stacey Fisher, Laura C. Rosella

2022 · 138 Zit.

Machine Learning for Automation of Radiology Protocols for Quality and Efficiency Improvement

Angad Kalra, Amit Chakraborty, Benjamin Fine et al.

2020 · 84 Zit.

An awakening in medicine: the partnership of humanity and intelligent machines

Leo Anthony Celi, Benjamin Fine, David J. Stone

2019 · 49 Zit.

Assessment of Radiology Artificial Intelligence Software: A Validation and Evaluation Framework

William Tanguay, Philippe Acar, Benjamin Fine et al.

2022 · 48 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.

Evaluating Artificial Intelligence Competency in Education: Performance of ChatGPT-4 in the American Registry of Radiologic Technologists (ARRT) Radiography Certification Exam

Yousif Al-Naser, Felobater Halka, Boris Ng et al.

2024 · 18 Zit.

U“AI” Testing: User Interface and Usability Testing of a Chest X-ray AI Tool in a Simulated Real-World Workflow

Jeffrey Lam Shin Cheung, Amna Ali, Mohamed Abdalla et al.

2022 · 15 Zit.

Development, multi-institutional external validation, and algorithmic audit of an artificial intelligence-based Side-specific Extra-Prostatic Extension Risk Assessment tool (SEPERA) for patients undergoing radical prostatectomy: a retrospective cohort study

Jethro C.C. Kwong, Adree Khondker, Eric Meng et al.

2023 · 14 Zit.

Evaluating the Usability, Technical Performance, and Accuracy of Artificial Intelligence Scribes for Primary Care: Competitive Analysis

Emily Ha, Isabelle Choon-Kon-Yune, LaShawn Murray et al.

2025 · 11 Zit.

Establishing organizational AI governance in healthcare: a case study in Canada

Jee Young Kim, Alifia Hasan, Jacqueline K. Kueper et al.

2025 · 9 Zit.

How artificial intelligence can help us ‘Choose Wisely’

Nishila Mehta, Karen Born, Benjamin Fine

2021 · 5 Zit.

Bias in machine learning applications to address non-communicable diseases at a population-level: a scoping review

Sharon Birdi, Roxana Rabet, Steve Durant et al.

2024 · 4 Zit.

The Challenge Dataset – simple evaluation for safe, transparent healthcare AI deployment

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

2022 · 3 Zit.

Advancements in Interoperability: Achieving Anatomic Pathology Reports That Adhere to International Standards and Are Both Human-Readable and Readily Computable

W. Scott Campbell, Brian Rous, Stefan V. Dubois et al.

2025 · 3 Zit.

Use of Online Large Language Model Chatbots in Cornea Clinics

Prem Nichani, Stephan Ong Tone, Sara Alshaker et al.

2024 · 2 Zit.