Population Health Research Institute

Opening the Black Box: The Promise and Limitations of Explainable Machine Learning in Cardiology

Jeremy Petch, Shuang Di, Walter Nelson

2021 · 513 Zit.

Applications of artificial intelligence and machine learning in heart failure

Tauben Averbuch, Kristen Sullivan, Andrew J. Sauer et al.

2022 · 93 Zit.

Association between postoperative haemoglobin concentrations and composite of non-fatal myocardial infarction and all-cause mortality in noncardiac surgical patients: post hoc analysis of the POISE-2 trial

Alparslan Turan, Eva Rivas, P.J. Devereaux et al.

2020 · 33 Zit.

Evaluating the efficacy of artificial intelligence tools for the automation of systematic reviews in cancer research: A systematic review

Xiaomei Yao, Mithilesh V. Kumar, Esther Su et al.

2023 · 28 Zit.

Artificial intelligence bias in the prediction and detection of cardiovascular disease

Ariana Mihan, Ambarish Pandey, Harriette G.C. Van Spall

2024 · 24 Zit.

Seeing the random forest through the decision trees. Supporting learning health systems from histopathology with machine learning models: Challenges and opportunities

Ricardo González, Ashirbani Saha, Clinton J.V. Campbell et al.

2023 · 19 Zit.

Lessons from the COVID-19 pandemic and recent developments on the communication of clinical trials, publishing practices, and research integrity: in conversation with Dr. David Moher

Daeria O. Lawson, Michael Ke Wang, Kevin Kim et al.

2022 · 10 Zit.

Machine Learning Approaches for the Image-Based Identification of Surgical Wound Infections: Scoping Review

Juan Pablo Tabja Bortesi, Jonathan Ranisau, Shuang Di et al.

2023 · 9 Zit.

The impact of reporting magnetic resonance imaging incidental findings in the Canadian alliance for healthy hearts and minds cohort

Judy Luu, Anand Sergeant, Sonia S. Anand et al.

2021 · 4 Zit.

Great debate: artificial intelligence will replace much of what cardiologists do

Tauben Averbuch, Folkert W. Asselbergs, Panos E. Vardas et al.

2025 · 3 Zit.

An artificial intelligence prediction model for optimizing patient selection for cardiac imaging for the investigation of suspected coronary artery disease

Jeremy Petch, Shuang Di, T. Joseph Watson et al.

2026 · 0 Zit.

Evaluation of artificial intelligence-based tool Covidence in literature screening for guideline updates: a prospective study

Xiaomei Yao, Ashley Low, Duvaraga Sivajohanathan et al.

2025 · 0 Zit.

Development and evaluation of large-language models (LLMs) for oncology: A scoping review

Namya Mehan, Teshan Dias Desinghe, Ashirbani Saha

2025 · 0 Zit.

The performance of covidence: an artificial intelligence-based tool for title and abstract screening in a breast cancer evidence-based clinical practice guideline

Xiaomei Yao, Ashirbani Saha, Ashley Low et al.

2025 · 0 Zit.

From Radiology Findings to Artificial Intelligence (AI) Powered Impressions: A Retrospective Study on the Comparative Performance of Recent Large Language Models

Nanziba Tasneem, Christian B. van der Pol, Ambreen Zahoor et al.

2025 · 0 Zit.