Faculty profile

Joon Lee

ResearcherCommunity Health SciencesUniversity of Calgary

This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a University of Calgary directory, so their courses may be missing. Find their university profile.

Joon Lee

Researcher

Community Health Sciences

Health Sciences

University of Calgary

Calgary, Alberta, Canada

Supervision signals

Has led research grants, which requires an independent research appointment. Ask their department whether they supervise graduate students.
25 publications in the last five years, latest in 2026.
Senior (last) author on 17 recent papers, a sign of leading a research group.
Principal investigator on 6 research grants (4 CIHR, 2 NSERC), most recently in 2023.
Supervisor on 1 trainee award (1 CIHR), most recently in 2025.

These signals come from public records, including CIHR, NSERC and SSHRC funding decisions. Ask the professor or the graduate program whether they are taking new students.

Academic metrics

Publications

Collaborators

Grants

Publications by year

Counts cover the publications linked to this profile. Citations and the h-index appear when the source records them.

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Signals and details

Research

Artificial Intelligence Children Data Science Marketing Nutrition Policy Unhealthy Food Clinical Protocol

Latest papers

Comparison of Consumer Smartwatch and Research-Grade Accelerometer-Derived Step Counts in Amyotrophic Lateral Sclerosis.
Muscle & nerve · 2026 · senior author
Real-World Barriers to and Facilitators of Implementing AI-Based Clinical Decision Support Systems: Scoping Review.
JMIR medical informatics · 2026 · senior author
Investigating clinical practice variations in coronary artery disease treatment using reinforcement and transfer learning.
NPJ cardiovascular health · 2026 · senior author

All 44 publications

Latest funding

Artificial Intelligence and Angiography: Revolutionizing Coronary Artery Disease Care
CIHR · 2025 · Supervisor
$140,000
An end-to-end machine learning development and deployment platform for digital health researchers and innovators
NSERC · 2023 · Principal investigator
$100,000
Improving Patient Outcomes among Early-Age-At-Onset Colorectal Cancer Patients Using Real-World Data
CIHR · 2022 · Co-investigator
$376,380

All 9 grants and awards

44 publications.

Comparison of Consumer Smartwatch and Research-Grade Accelerometer-Derived Step Counts in Amyotrophic Lateral Sclerosis.

Jewett G, Ferber R, Josephson CB, Korngut L, Lee J

Muscle & nerve2026Senior author

DOI: 10.1002/mus.70323 PMID: 42321151

Real-World Barriers to and Facilitators of Implementing AI-Based Clinical Decision Support Systems: Scoping Review.

Bogner E, Thomas A, Bajgain B, van Rassel C, Sauro K, Lee J

JMIR medical informatics2026Senior author

DOI: 10.2196/89834 PMID: 42594361

Investigating clinical practice variations in coronary artery disease treatment using reinforcement and transfer learning.

Ghasemi P, Greenberg M, Southern DA, Li B, White JA, Lee J

NPJ cardiovascular health2026Senior author

DOI: 10.1038/s44325-026-00147-0 PMID: 42477048

Machine Learning-Enabled Coronary Artery Disease Treatment Decision Support: From In-Silico to Real-World Clinical Environments.

Lee J

The Canadian journal of cardiology2026First author

DOI: 10.1016/j.cjca.2026.01.053 PMID: 41651213

Comprehensive Machine Learning-Enabled Outcome Prediction for Patients With Coronary Artery Disease Using Multicentre Patient Data.

Bogner E, Har B, Li B, Southern DA, Sun CLF, Welsh RC, Tyrrell B, Murphy CJ, Puri A, Lee J

The Canadian journal of cardiology2026Senior author

DOI: 10.1016/j.cjca.2025.12.024 PMID: 41421637

Health economic simulation modeling of an AI-enabled clinical decision support system for coronary revascularization.

Mullie T, Puri A, Bogner E, Har B, Murphy CJ, Welsh RC, Tyrrell B, Sun CLF, Lee J

NPJ digital medicine2026Senior author

DOI: 10.1038/s41746-026-02430-x PMID: 41699068

Perceived Potential and Challenges of Supporting Coronary Artery Disease Treatment Decisions With AI: Qualitative Study.

Sauro K, Bajgain B, van Rassel C, Har B, Welsh R, Lee J

JMIR cardio2026Senior author

DOI: 10.2196/81303 PMID: 41650180

Association Between Telemedicine Use and Outpatient Visits Among Hypertensive Patients With Disabilities During COVID-19.

Lee R, Lee J, Jo MW, Oh IH

Inquiry : a journal of medical care organization, provision and financing2026

DOI: 10.1177/00469580261470820 PMID: 42464941

Factors Associated With Suicidal Ideation Among Persons With Disabilities in South Korea: Retrospective Observational Study.

Oh IH, Jo S, Lee J

JMIR formative research2025Senior author

DOI: 10.2196/80261 PMID: 41385728

Disparities in periodontitis risk and healthcare use among individuals with disabilities in Korea: a retrospective cohort study.

Chung S, Jeong S, Jung YI, Kim M, Jeon B, Lee J, So-Youn Park, Oh IH

BMC oral health2025

DOI: 10.1186/s12903-025-05754-4 PMID: 40169993

Artificial Intelligence and Angiography: Revolutionizing Coronary Artery Disease Care

SupervisorCIHR2025Canada Postdoctoral Research Award (CPRA) program

Principal investigators: van Rassel, Cody R

Keywords: Artificial Intelligence; Coronary Angiogram Analysis; Coronary Artery Disease; Health Data Science; Medical Imaging; Precision Medicine

$140,000

An end-to-end machine learning development and deployment platform for digital health researchers and innovators

Principal investigatorNSERC2023Alliance Grants

Principal investigators: Lee, Joon J

Keywords: artificial intelligence; digital health; machine learning; MLOps

$100,000

Improving Patient Outcomes among Early-Age-At-Onset Colorectal Cancer Patients Using Real-World Data

Co-investigatorCIHR2022Project Grant

Principal investigators: Brenner, Darren M; Cheung, Winson Y

Keywords: Administrative Data; Clinician Decision Support; Colorectal Cancer; Early Age Of Onset; Machine Learning; Oncology; Real World Data

$376,380

Leveraging artificial intelligence to examine the impact of digital marketing of unhealthy food on children's dietary intake

Principal investigatorCIHR2021Project Grant - Priority Announcement: Population and Public Health

Principal investigators: Olstad, Dana Lee; Lee, Joon

Keywords: Artificial Intelligence; Child Health; Child Nutrition; Food Marketing; Nutrition Policy; Randomized Controlled Trial; Validation Study

$100,000

Leveraging Artificial Intelligence and the APPROACH Registry to Transform Coronary Artery Disease Patient Care

Nominated PICIHR2021Project Grant

Principal investigators: Lee, Joon; Clement, Fiona Mary; Har, Bryan; Sajobi, Tolulope T; Sauro, Khara M; White, James A

Keywords: Artificial Intelligence; Clinical Protocol; Coronary Artery Disease; Coronary Revascularization; Decision Support Tool; Health Data Science; Integrated Knowledge Translation; Machine Learning; Predictive Modeling

$604,350

Using case difficulty to improve predictive performance evaluation

Principal investigatorNSERC2021Discovery Grants Program - Individual

Principal investigators: Lee, Joon

$116,000

Protecting children from unhealthy food and brand marketing in the digital age: A novel artificial intelligence system to assess food and brand marketing on digital media

Principal investigatorCIHR2019Project Grant - PA: Data science, management and stewardship

Principal investigators: Olstad, Dana Lee; Lee, Joon

Keywords: Artificial Intelligence; Children; Data Science; Marketing; Nutrition; Policy; Unhealthy Food

$100,000

Protecting children from unhealthy food and brand marketing in the digital age: A novel artificial intelligence system to assess food and brand marketing on digital media

Principal investigatorCIHR2019Project Grant

Principal investigators: Olstad, Dana Lee; Lee, Joon

Keywords: Artificial Intelligence; Children; Data Science; Marketing; Nutrition; Policy; Unhealthy Food

$625,770

Innovative Clinical Trials Program - Interdisciplinary Chronic Disease Collaboration

Co-investigatorCIHR2019Operating Grant: SPOR Innovative Clinical Trial Multi-Year Grant

Principal investigators: James, Matthew T; Manns, Braden J; Campbell, David J; Hemmelgarn, Brenda R; Pannu, Neesh I; Pearson, Winnie; Tonelli, Marcello

Keywords: Cardiovascular Disease; Chronic Kidney Disease; Clinical Trials; Comparative Effectiveness; Diabetes Mellitus; Health Systems And Services; Implementation Science / Integrated Knowledge Translation; Patient Oriented Research

$3,000,000

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

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Joon Lee

Research

Latest papers

Latest funding

Comparison of Consumer Smartwatch and Research-Grade Accelerometer-Derived Step Counts in Amyotrophic Lateral Sclerosis.

Real-World Barriers to and Facilitators of Implementing AI-Based Clinical Decision Support Systems: Scoping Review.

Investigating clinical practice variations in coronary artery disease treatment using reinforcement and transfer learning.

Machine Learning-Enabled Coronary Artery Disease Treatment Decision Support: From In-Silico to Real-World Clinical Environments.

Comprehensive Machine Learning-Enabled Outcome Prediction for Patients With Coronary Artery Disease Using Multicentre Patient Data.

Health economic simulation modeling of an AI-enabled clinical decision support system for coronary revascularization.

Perceived Potential and Challenges of Supporting Coronary Artery Disease Treatment Decisions With AI: Qualitative Study.

Association Between Telemedicine Use and Outpatient Visits Among Hypertensive Patients With Disabilities During COVID-19.

Factors Associated With Suicidal Ideation Among Persons With Disabilities in South Korea: Retrospective Observational Study.

Disparities in periodontitis risk and healthcare use among individuals with disabilities in Korea: a retrospective cohort study.

Artificial Intelligence and Angiography: Revolutionizing Coronary Artery Disease Care

An end-to-end machine learning development and deployment platform for digital health researchers and innovators

Improving Patient Outcomes among Early-Age-At-Onset Colorectal Cancer Patients Using Real-World Data

Leveraging artificial intelligence to examine the impact of digital marketing of unhealthy food on children's dietary intake

Leveraging Artificial Intelligence and the APPROACH Registry to Transform Coronary Artery Disease Patient Care

Using case difficulty to improve predictive performance evaluation

Protecting children from unhealthy food and brand marketing in the digital age: A novel artificial intelligence system to assess food and brand marketing on digital media

Protecting children from unhealthy food and brand marketing in the digital age: A novel artificial intelligence system to assess food and brand marketing on digital media

Innovative Clinical Trials Program - Interdisciplinary Chronic Disease Collaboration

Frequent collaborators

Hude Quan

Khara Sauro

Bryan Har

Kathleen Reynolds

Christopher Naugler

Fiona Schulte

Edith Pituskin

John Muscedere

Reed Ferber

Diane Lorenzetti

Paul Stolee

Lawrence Korngut