Toronto Public Health

Federated learning for predicting clinical outcomes in patients with COVID-19

Ittai Dayan, Holger R. Roth, Aoxiao Zhong et al.

2021 · 690 Zit.

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

Stacey Fisher, Laura C. Rosella

2022 · 156 Zit.

How artificial intelligence can help us ‘Choose Wisely’

Nishila Mehta, Karen Born, Benjamin Fine

2021 · 5 Zit.

Machine learning used to study risk factors for chronic diseases: A scoping review

Mahek Shergill, Steve Durant, Sharon Birdi et al.

2025 · 4 Zit.

Assessing the Impact on Electronic Health Record Burden After Five Years of Physician Engagement in a Canadian Mental Health Organization: Mixed-Methods Study

Tania Tajirian, Brian Lo, Gillian Strudwick et al.

2025 · 4 Zit.

Teaching postsecondary students about the ethics of artificial intelligence: A scoping review protocol

Calvin Hillis, Maushumi Bhattacharjee, Batool AlMousawi et al.

2025 · 2 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 · 2 Zit.

The influence, promise, and potential perils of artificial intelligence in veterinary medicine: a call for improved awareness and literacy

François Bertin, Jessica Lawrence, Stijn J M Niessen et al.

2026 · 1 Zit.

Interoperability: A National Person-Centred View

Trevor Jamieson, Denise Zarn

2022 · 1 Zit.

A qualitative assessment of the use of artificial intelligence in public sector health organisations in Ontario, Canada

Steven Habbous, Jeremy Herring, Tina Badiani et al.

2026 · 1 Zit.

GR.7 Artificial intelligence-based decision support predicts requirement for neurosurgical intervention in acute traumatic brain injury

AK Malhotra, Christopher W. Smith, Husain Shakil et al.

2023 · 1 Zit.

P.074 Assessing the emergence and evolution of artificial intelligence and machine learning research in neuroradiology

SS Haile, Alexandre Boutet, Andrew Z. Wang et al.

2024 · 0 Zit.

Hesperian Foundation

Donna MacLeod

2008 · 0 Zit.

C.07 Predicting individualized risk of recurrence: development and validation of a DNA-methylation based nomogram in meningioma

Farshad Nassiri, Y Mamatjan, Suganth Suppiah et al.

2019 · 0 Zit.

F.3 Multicentre prospective validation of integrated molecular classification of meningiomas and prediction of recurrence risk using DNA methylation

JZ Wang, V Patil, AP Landry et al.

2024 · 0 Zit.