Faculty profile

Melissa McCradden

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Assistant ProfessorClinical Public Health DivisionUniversity of Toronto

Signals and details

Latest papers

Machine learning used to study risk factors for chronic diseases: A scoping review
Canadian Journal of Public Health · 2026
Machine Learning Used in Communicable Disease Control: A Scoping Review
Public Health Reviews · 2026
Corrigendum to "Diversity, inclusivity and traceability of mammography datasets used in development of Artificial Intelligence technologies: a systematic review" [Clin Imaging 118 (2025) 110369].
Clinical imaging · 2025

All 15 publications

Latest funding

Artificial Intelligence for Equitable Healthcare Delivery in Diagnostic Imaging
SSHRC · 2022 · Co-investigator
$125,000
Using heart rhythm detection as a prototype to translate machine learning equitably and reproducibly to the point of care
CIHR · 2022 · Co-investigator
$657,900
Equitable Child Health: Enabling broad ethical inquiry in pediatric care by understanding the parameters of social license for reuse of clinical data
CIHR · 2021 · Co-investigator
$634,952

All 4 grants and awards

15 publications.

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

Shergill M, Durant S, Birdi S, Rabet R, Ziegler C, Ali S, Buckeridge D, Ghassemi M, Gibson J, John-Baptiste A

Canadian Journal of Public Health20269 citations

DOI: 10.17269/s41997-025-01059-9

Machine Learning Used in Communicable Disease Control: A Scoping Review

Birdi S, Patel A, Rabet R, Singh N, Durant S, Vosoughi T, Kapra F, Shergill M, Mesfin E, Ziegler C

Public Health Reviews2026

DOI: 10.3389/phrs.2026.1608074

Corrigendum to "Diversity, inclusivity and traceability of mammography datasets used in development of Artificial Intelligence technologies: a systematic review" [Clin Imaging 118 (2025) 110369].

Laws E, Palmer J, Alderman J, Sharma O, Ngai V, Salisbury T, Hussain G, Ahmed S, Sachdeva G, Vadera S, Mateen B, Matin R, Kuku S, Calvert M, Gath J, Treanor D, McCradden M, Mackintosh M, Gichoya J, Trivedi H, Denniston AK, Liu X

Clinical imaging2025

DOI: 10.1016/j.clinimag.2025.110541 PMID: 40633491

Diversity and Inclusion Within Datasets in Heart Failure: A Systematic Review.

Laws E, Charalambides M, Vadera S, Keller E, Alderman J, Blackboro B, Hogg J, Salisbury T, Palmer J, Calvert M, Mackintosh M, Matin R, Sapey E, Ordish J, McCradden M, Mateen B, Gath J, Adebajo A, Kuku S, Bradlow W, Denniston AK, Liu X

JACC. Advances2025

DOI: 10.1016/j.jacadv.2025.101610 PMID: 40155187

Diversity, inclusivity and traceability of mammography datasets used in development of Artificial Intelligence technologies: a systematic review.

Clinical imaging2025

DOI: 10.1016/j.clinimag.2024.110369 PMID: 39616879

An ethics assessment tool for artificial intelligence implementation in healthcare: CARE-AI.

Ning Y, Liu X, Collins GS, Moons KGM, McCradden M, Ting DSW, Ong JCL, Goldstein BA, Wagner SK, Keane PA, Topol EJ, Liu N

Nature medicine2024

DOI: 10.1038/s41591-024-03310-1 PMID: 39424948

Exploring patient and public participation in the STANDING Together initiative for AI in healthcare.

Gath J, Leung C, Adebajo AO, Beng J, Arora A, Alderman JE, Palmer J, Laws E, Gill J, McCradden M, McKay F, Denniston A, Liu X

Nature medicine2024

DOI: 10.1038/s41591-024-03200-6 PMID: 39672905

Medical artificial intelligence for clinicians: the lost cognitive perspective.

Tikhomirov L, Semmler C, McCradden M, Searston R, Ghassemi M, Oakden-Rayner L

The Lancet. Digital health2024

DOI: 10.1016/s2589-7500(24)00095-5 PMID: 39059890

Bias in machine learning applications to address non-communicable diseases at a population-level: a scoping review

Birdi S, Rabet R, Durant S, Patel A, Vosoughi T, Shergill M, Costanian C, Ziegler CP, Ali S, Buckeridge D

BMC International Health and Human Rights202410 citations

DOI: 10.1186/s12889-024-21081-9

Understanding caregiver experiences with disease-modifying therapies for spinal muscular atrophy: a qualitative study.

Xiao L, Kang S, Djordjevic D, Gonorazky H, Chiang J, Ambreen M, Nigro E, Law E, Weinstock L, McCradden M, Amin R

Archives of disease in childhood2023

DOI: 10.1136/archdischild-2023-325762 PMID: 37419673

Profile data last refreshed on July 30, 2025 from the university directory, publication records and CIHR, NSERC and SSHRC funding.

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Melissa McCradden

Latest papers

Latest funding

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

Machine Learning Used in Communicable Disease Control: A Scoping Review

Corrigendum to "Diversity, inclusivity and traceability of mammography datasets used in development of Artificial Intelligence technologies: a systematic review" [Clin Imaging 118 (2025) 110369].

Diversity and Inclusion Within Datasets in Heart Failure: A Systematic Review.

Diversity, inclusivity and traceability of mammography datasets used in development of Artificial Intelligence technologies: a systematic review.

An ethics assessment tool for artificial intelligence implementation in healthcare: CARE-AI.

Exploring patient and public participation in the STANDING Together initiative for AI in healthcare.

Medical artificial intelligence for clinicians: the lost cognitive perspective.

Bias in machine learning applications to address non-communicable diseases at a population-level: a scoping review

Understanding caregiver experiences with disease-modifying therapies for spinal muscular atrophy: a qualitative study.

Artificial Intelligence for Equitable Healthcare Delivery in Diagnostic Imaging

Using heart rhythm detection as a prototype to translate machine learning equitably and reproducibly to the point of care

Equitable Child Health: Enabling broad ethical inquiry in pediatric care by understanding the parameters of social license for reuse of clinical data

Identifying and mitigating bias in machine learning models used in population health

Frequent collaborators

Ross Upshur

Jennifer Gibson

Kwame Mckenzie

David Buckeridge

Sharmistha Mishra

Kwame Mckenzie

James Shaw

Shehzad Ali

David Buckeridge

Laura Rosella

David Moher

Azadeh Assadi

Reshma Amin

Anna Goldenberg

Sarah Ibrahim

Lena Xiao

Sebastian Goodfellow

Devin Singh

Melissa McCradden

Latest papers

Latest funding

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

Machine Learning Used in Communicable Disease Control: A Scoping Review

Corrigendum to "Diversity, inclusivity and traceability of mammography datasets used in development of Artificial Intelligence technologies: a systematic review" [Clin Imaging 118 (2025) 110369].

Diversity and Inclusion Within Datasets in&#xa0;Heart&#xa0;Failure: A Systematic Review.

Diversity, inclusivity and traceability of mammography datasets used in development of Artificial Intelligence technologies: a systematic review.

An ethics assessment tool for artificial intelligence implementation in healthcare: CARE-AI.

Exploring patient and public participation in the STANDING Together initiative for AI in healthcare.

Medical artificial intelligence for clinicians: the lost cognitive perspective.

Bias in machine learning applications to address non-communicable diseases at a population-level: a scoping review

Understanding caregiver experiences with disease-modifying therapies for spinal muscular atrophy: a qualitative study.

Artificial Intelligence for Equitable Healthcare Delivery in Diagnostic Imaging

Using heart rhythm detection as a prototype to translate machine learning equitably and reproducibly to the point of care

Equitable Child Health: Enabling broad ethical inquiry in pediatric care by understanding the parameters of social license for reuse of clinical data

Identifying and mitigating bias in machine learning models used in population health

Frequent collaborators

Ross Upshur

Jennifer Gibson

Kwame Mckenzie

David Buckeridge

Sharmistha Mishra

Kwame Mckenzie

James Shaw

Shehzad Ali

David Buckeridge

Laura Rosella

David Moher

Azadeh Assadi

Reshma Amin

Anna Goldenberg

Sarah Ibrahim

Lena Xiao

Sebastian Goodfellow

Devin Singh

Diversity and Inclusion Within Datasets in Heart Failure: A Systematic Review.