Lunenfeld-Tanenbaum Research Institute

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

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

2021 · 657 Zit.

AI recognition of patient race in medical imaging: a modelling study

Judy Wawira Gichoya, Imon Banerjee, Ananth Reddy Bhimireddy et al.

2022 · 465 Zit.

Artificial intelligence for good health: a scoping review of the ethics literature

Kathleen Murphy, Erica Di Ruggiero, Ross Upshur et al.

2021 · 372 Zit.

Artificial Intelligence: reshaping the practice of radiological sciences in the 21st century

Issam El Naqa, Masoom A. Haider, Maryellen L. Giger et al.

2020 · 95 Zit.

The Impact of Artificial Intelligence on Health Equity in Oncology: Scoping Review

Paul Istasy, Wen Shen Lee, Alla Iansavichene et al.

2022 · 65 Zit.

Standardized Reporting of Machine Learning Applications in Urology: The STREAM-URO Framework

Jethro C.C. Kwong, Louise C. McLoughlin, Masoom A. Haider et al.

2021 · 60 Zit.

Priorities for Artificial Intelligence Applications in Primary Care: A Canadian Deliberative Dialogue with Patients, Providers, and Health System Leaders

Tara Upshaw, Amy Craig-Neil, Jillian Macklin et al.

2023 · 45 Zit.

Federated Learning used for predicting outcomes in SARS-COV-2 patients

Mona G. Flores, Ittai Dayan, Holger R. Roth et al.

2021 · 44 Zit.

Implementing artificial intelligence in Canadian primary care: Barriers and strategies identified through a national deliberative dialogue

Katrina Darcel, Tara Upshaw, Amy Craig-Neil et al.

2023 · 31 Zit.

The Impact of Artificial Intelligence on Health Equity in Oncology: A Scoping Review

Paul Istasy, Wen Shen Lee, Alla Iansavitchene et al.

2021 · 6 Zit.

The Basics of Machine Learning

Michael Fralick, Kieran R. Campbell

2022 · 5 Zit.

Chatbot GPT can be grossly inaccurate

Eleftherios P. Diamandis

2023 · 4 Zit.

Medical decision support system using weakly-labeled lung CT scans

Alejandro Murillo-González, David González, Laura Jaramillo et al.

2022 · 1 Zit.

Training With Local Data Remains Important for Deep Learning MRI Prostate Cancer Detection

Shawn G. Carere, John G. Jewell, Paola V. Nasute Fauerbach et al.

2025 · 1 Zit.

Using AI to triage patients without clinically significant prostate cancer using biparametric MRI and PSA

Emerson Paul Grabke, Carolina Augusta Modena Heming, A. Hadari et al.

2025 · 1 Zit.