Jeremy Petch, University of Toronto

Research

Read how they describe their research on their University of Toronto profile.

Artificial intelligence (AI)Machine learning Health services and systems Electronic health (e-Health)Ethical, legal, and social issues in health, health systems and health research

Latest papers

A practical framework for operationalising responsible and equitable artificial intelligence in health care: tackling bias, inequity, and implementation challenges
The Lancet: Digital Health · 2026
AI-Based Automation for Medication Reconciliation: Scoping Review
Journal of Medical Internet Research · 2026 · senior author
An artificial intelligence prediction model for optimizing patient selection for cardiac imaging for the investigation of suspected coronary artery disease
European Heart Journal: Digital Health · 2026 · first author

All 31 publications

Latest funding

DEFI-PC: Partnership for a Digitally Enabled Future for Integrated Primary Care
CIHR · 2025 · Co-investigator
$125,000

All 1 grants and awards

31 publications.

01

A practical framework for operationalising responsible and equitable artificial intelligence in health care: tackling bias, inequity, and implementation challenges

Welch ML, Grant B, Deutschman C, McElcheran C, Badzynski A, Bell JAH, Hope A, Grant RC, Truong T, Lane K

The Lancet: Digital Health202615 citations

DOI: 10.1016/j.landig.2025.100957

02

AI-Based Automation for Medication Reconciliation: Scoping Review

Bortesi JPT, Becerra MP, Ranisau J, Wen B, Nadesan P, Devereaux PJ, McGillion M, Petch J

Journal of Medical Internet Research20261 citationsSenior author

DOI: 10.2196/86760

03

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

Petch J, Di S, Watson T, Becerra MP, Rosella LC, Natarajan MK, Sheth T, Schwalm J-D

European Heart Journal: Digital Health2026First author

DOI: 10.1093/ehjdh/ztag040

04

Coronary Computed Tomographic Angiography to Optimize the Diagnostic Yield of Invasive Angiography for Low-Risk Patients Screened With Artificial Intelligence: Protocol for the CarDIA-AI Randomized Controlled Trial

Petch J, Bortesi JPT, Sheth T, Natarajan M, Pinilla-Echeverri N, Di S, Bangdiwala SI, Mosleh K, Ibrahim O, Bainey KR

JMIR Research Protocols20255 citationsFirst author

DOI: 10.2196/71726

05

Mendelian randomization study implicates inflammaging biomarkers in retinal vasculature, cardiovascular diseases, and longevity

Villaplana-Velasco A, Perrot N, Hang Y, Chong M, Trucco E, Mookiah MRK, Nelson W, Petch J, Gerstein HC, Raina P

Science Advances20255 citations

DOI: 10.1126/sciadv.adu1985

06

Detecting irregularities in randomized controlled trials using machine learning

Nelson W, Petch J, Ranisau J, Zhao R, Balasubramanian K, Bangdiwala SI

Clinical Trials20253 citations

DOI: 10.1177/17407745241297947

07

Leveraging Co-Design, Design Thinking, and Service Blueprinting to Create Digital Health Behavior Change Innovations: Insights From a Co-Design Workshop With Type 2 Diabetes Remission Health Coaches

Vela R, Voorheis P, Petch J, Gerstein H, Sherifali D

DST20252 citations

DOI: 10.1177/19322968251335303

08

Listening to the lost voices: a qualitative study reflecting on medical assistance in dying for mature minors in Ontario

Campbell S, Moola F, Denburg A, Gibson J, Petch J

Paediatrics and Child Health20251 citationsSenior author

DOI: 10.1093/pch/pxaf025

09

Optimizing warfarin dosing for patients with atrial fibrillation using machine learning

Petch J, Nelson W, Wu M, Ghassemi M, Benz A, Fatemi M, Di S, Carnicelli A, Granger C, Giugliano R

Scientific Reports202425 citationsFirst author

DOI: 10.1038/s41598-024-55110-9

10

The Unspeakable Nature of Death & Dying During Childhood: A Silenced Phenomenon in Pediatric Care

Campbell S, Moola FJ, Gibson JL, Petch J, Denburg A

Omega: Journal of Death and Dying202419 citations

DOI: 10.1177/00302228211067034

DEFI-PC: Partnership for a Digitally Enabled Future for Integrated Primary Care

Co-investigatorCIHR2025Catalyst Grant: Partnering for Impact - Health Services and Policy Research

Principal investigators: Steele Gray, Carolyn A; Alexander, Edward W; Voorheis, Paula; Wong, Sabrina T

Keywords: Digital Health; Implementation Science; Integrated Care; Primary Care

$125,000

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

Frequent collaborators

Co-authors at University of Toronto, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.

Philip Devereaux

Health Research Methods, Evidence, and Impact

5 shared papers, latest 2026

Fiona Moola

Social & Behavioural Health Sciences Division

3 shared papers, latest 2025

Kerry Kuluski

Health Policy, Management & Evaluation

3 shared papers, latest 2023

Shrikant Bangdiwala

Health Research Methods, Evidence, and Impact

3 shared papers, latest 2025

Quynh Pham

Institute of Health Policy, Management, and Evaluation

3 shared papers, latest 2023

Jennifer Gibson

Clinical Public Health Division

2 shared papers, latest 2025

Guillaume Pare

Pathology & Molecular Medicine

2 shared papers, latest 2025

Mark Norman Levine

Oncology

2 shared papers, latest 2024

Write to this professor

A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.

Applying for

Paper to mention

Subject: Prospective PhD student: Artificial intelligence (AI) Dear Professor Petch, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "A practical framework for operationalising responsible and equitable artificial intelligence in health care: tackling bias, inequity, and implementation challenges" (2026), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]

Jeremy Petch

Research

Latest papers

Latest funding

A practical framework for operationalising responsible and equitable artificial intelligence in health care: tackling bias, inequity, and implementation challenges

AI-Based Automation for Medication Reconciliation: Scoping Review

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

Coronary Computed Tomographic Angiography to Optimize the Diagnostic Yield of Invasive Angiography for Low-Risk Patients Screened With Artificial Intelligence: Protocol for the CarDIA-AI Randomized Controlled Trial

Mendelian randomization study implicates inflammaging biomarkers in retinal vasculature, cardiovascular diseases, and longevity

Detecting irregularities in randomized controlled trials using machine learning

Leveraging Co-Design, Design Thinking, and Service Blueprinting to Create Digital Health Behavior Change Innovations: Insights From a Co-Design Workshop With Type 2 Diabetes Remission Health Coaches

Listening to the lost voices: a qualitative study reflecting on medical assistance in dying for mature minors in Ontario

Optimizing warfarin dosing for patients with atrial fibrillation using machine learning

The Unspeakable Nature of Death & Dying During Childhood: A Silenced Phenomenon in Pediatric Care

DEFI-PC: Partnership for a Digitally Enabled Future for Integrated Primary Care

Frequent collaborators

Jeremy Petch

Philip Devereaux

Michael McGillion

Avram Denburg

Tej Sheth

Paula Voorheis

Hertzel Gerstein

Fiona Moola

Jon-david Schwalm

Madhu Natarajan

Kerry Kuluski

Shrikant Bangdiwala

Quynh Pham

Fiona Moola

Jennifer Gibson

Jessica Bogach

Guillaume Pare

Ashirbani Saha

Natalia Pinilla-Echeverri

Mark Norman Levine