Research Publications
T-CAIREM members are at the forefront of innovative research at the intersection of AI and health. Here are some of the latest publications from members of our community. If you’re a T-CAIREM member with a recent publication, please share it with the rest of our community!
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2025
• December 4, 2025: Ben Li led "Predicting 1-year successful clinical use of an arteriovenous access for hemodialysis using machine learning," co-authored with Muhammad Mamdani and supervised by Mohammed Al-Omran in npj Digital Medicine.
• November 18, 2025: Gemma Postill, Vinyas Harish, and Laura C. Rosella co-authored "Machine learning identifies clusters of multimorbidity among decedents with inflammatory bowel disease" in Communications Medicine.
• November 3, 2025: Ben Li, as the 2024–25 Editorial Fellow, authored "The npj Digital Medicine Editorial Fellowship" in npj. T-CAIREM member Jethro C.C. Kwong is also an editorial fellowship graduate.
• October 25, 2025: Austin Barr was the lead author on "Expert Validation of Synthetic Cervical Spine Radiographs Generated with a Denoising Diffusion Probabilistic Model", posted to arXivLabs.
• October 7, 2025: This study, led by Jethro Kwong and supervised by Drs. Girish Kulkarni, Alexandre Zlotta, and Alistair Johnson, "Development and International Evaluation of an Artificial Intelligence–based Model (PROGRxN-BCa) Using the World Health Organization 2004/2022 Grading System to Predict Progression Risk and Improve Substratification for Non–muscle-invasive Bladder Cancer" was published in European Urology.
• October 2025: Brokoslaw Laschowski supervised "Mixture models for domain-adaptive brain decoding." The pre-print was posted at bioRxi.
• October 2025: Bo Wang supervised "Exploring the Design Space of 3D MLLMs for CT Report Generation," accepted in arXiv (MICCAI).
• October 2025: Muhammad Mamdani co-authored "Predicting the occurrence of DKA following sodium glucose co-transporter-2 inhibitors: An international cohort study" in the Journal of Diabetes and its Complications.
• September 22, 2025: David-Dan Nguyen, Laura Rosella, Joshua S. Cheruvathur, and Girish Kulkarni co-authored "Payments to Health Care Professionals and Teaching Hospitals by AI- and Machine Learning–Enabled Medical Device Manufacturers" in JAMA.
• September 20, 2025: Farhan Asrar led and co-authored "Physician astronauts advancing deep-space exploration," published in The Lancet.
• August 14, 2025: Abi Sriharan led "Leadership for AI Transformation in Health Care Organization: Scoping Review", published in The Journal of Medical Internet Research.
• August 14, 2025: Armaan Malhotra was the lead author of "Energy Considerations for Scaling Artificial Intelligence Adoption in Medicine: First Do No Harm", which included co-authors Amol Verma, Muhammad Mamdani, and Laura Rosella, in NEJM AI.
• August 12, 2025: Bo Wang co-authored "In silico generation of synthetic cancer genomes using generative AI" in Cell Genomics.
• August 12, 2025: Mamatha Bhat co-authored "The evolving role of liver transplantation as enzyme replacement therapy in the era of RNA nanotherapies" in Am J Transplant.
• August 5, 2025: Abigail Ortiz was the Principal Investigator of "Beyond Step Count: Are We Ready to Use Digital Phenotyping to Make Actionable Individual Predictions in Psychiatry?" in the Journal of Medical Internet Research.
• July 24, 2025: Ben Li led "Predicting outcomes following endovascular aortoiliac revascularization using machine learning," co-authored with T-CAIREM members Derek Beaton and Muhammad Mamdani in NPJ Digital Medicine.
• July 18, 2025: Ben Li led "Commercialization of medical artificial intelligence technologies: challenges and opportunities," which was published in NPJ Digital Medicine.
• July 15, 2025: Bo Wang co-authored "scGPT: end-to-end protocol for fine-tuned retinal cell type annotation" in Nature Protocols.
• July 1, 2025: Gemma Postill led a publication with co-authors Amol Verma, Anglin Dent and supervised by Tavis Apramian on "Perspectives of family medicine residents on artificial intelligence for survival estimation in patients with serious illness" in PLOS Digital Health.
• July 2025: Ryan Paul was the principal investigator of "Predicting Surgical Versus Nonsurgical Management of Acute Isolated Distal Radius Fractures in Patients Under Age 60 Using a Convolutional Neural Network" in The Journal of Hand Surgery.
• July 2025: Austin A. Barr from the University of Calgary, was the lead author of "Synthetic neurosurgical data generation with generative adversarial networks and large language models: an investigation on fidelity, utility, and privacy" published in the Journal of Neurosurgery.
• June 30, 2025: Andrew Pinto supervised "Unveiling the Impact: A Scoping Review of the COVID-19 Pandemic’s Effects on Racialized Populations in Canada" with T-CAIREM members Fahad Razak and Sharmistha Mishra in the International Journal of Environmental Research and Public Health.
• June 18, 2025: Armaan K. Malhotra led a study co-authored by Jethro C. C. Kwong, "Predicting outcomes after moderate and severe traumatic brain injury using artificial intelligence: a systematic review" in NPJ Digital Medicine.
• June 16, 2025: Jude Dzevela Kong co-authored "Leveraging AI in Digital One Health: An Inter-university collaboration on the Integration of Artificial Intelligence in Digital One Health for the Control of Emerging and Reemerging Infectious Diseases Control in Cameroon" in Frontiers Digital Health.
• June 11, 2025: Gemma Postill was the lead author of "Evaluation of Shared Decision-Making Interventions in Pediatric Acute Care: A Systematic Review" in the American Academy of Pediatrics.
• June 3, 2025: T-CAIREM researchers January Adams, Zoryana Salo, Rutvik Solanki, Muhammad Mamdani, Alistair Johnson, David Rotenberg, Benjamin Haibe-Kains published "Health Data Nexus: an open data platform for AI research and education in medicine" in GigaScience.
• June 2, 2025: Farhan Asrar published "How to keep astronauts healthy in deep space" in Nature.
• May 30, 2025: Several T-CAIREM members including Muhammad Mamdani, Michael Brudno, and Frank Rudzicz contributed to "The development and usability of ‘The Genetics Navigator’: a digital solution for adult and paediatric clinical genetics services" in the European Journal of Human Genetics.
• May 28, 2025: Mamatha Bhat, Michael Brudno, and Chris McIntosh published "Personalized survival benefit estimation from living donor liver transplantation with a novel machine learning method for confounding adjustment" in the Journal of Hepatology.
• May 28, 2025: Mamatha Bhat supervised and co-authored "GraftIQ: Hybrid multi-class neural network integrating clinical insight for multi-outcome prediction in liver transplant recipients" in Nature Communications.
• May 24, 2025: With support from the 2024 DSI-TCAIRM Catalyst grant, Sharmistha Mishra supervised lead author Korryn Bodner on the "Impact of unequal testing on vaccine effectiveness estimates across two study designs: a simulation study" in Nature Communications.
• May 5, 2025: Ben Li led "Artificial intelligence guided imaging as a tool to fill gaps in health care delivery" in NPJ Digital Medicine.
• May 3, 2025: Roxana Sultan co-authored "The FAIIR conversational AI agent assistant for youth mental health service provision" in NPJ Digital Medicine.
• May 2025: Divya Sharma led "Deep learning–based clustering for endotyping and post-arthroplasty response classification using knee osteoarthritis multiomic data", published in Annals of the Rheumatic Diseases.
• May 2025: Mamatha Bhat and Michael Brudno co-authored "Using machine learning for personalized prediction of longitudinal coronavirus disease 2019 vaccine responses in transplant recipients," published in Am J Transplant.
• April 25, 2025: Jude Dzevela Kong authored a pre-print of "Canada's Africa Strategy: What You Need to Know and Why It Matters for Artificial Intelligence, Health, and Innovation."
• April 24, 2025: T-CAIREM members Ben Li, Muhammad Mamdani, and Mohammed Al-Omran co-authored "Predicting outcomes following open abdominal aortic aneurysm repair using machine learning" in Scientific Reports.
• April 19, 2025: Ben Li led "Advancing perioperative care with digital applications and wearables" in NPJ Digital Medicine.
• April 16, 2025: Bo Wang supervised and co-authored "Towards multimodal foundation models in molecular cell biology" in Nature.
• April 7, 2025: Gemma Postill co-authored "Evaluation of a Canadian social media platform for communicating perinatal health information during a pandemic" in PLOS Digital Health.
• March 28, 2025: Mamatha Bhat co-authored "Machine Learning Prediction Model of Waitlist Outcomes in Patients with Primary Sclerosing Cholangitis," published in Transplant Direct.
• March 24, 2025: Gemma Postill, Vinyas Harish, and Laura Rosella published "Machine learning prediction of premature death from multimorbidity among people with inflammatory bowel disease: a population-based retrospective cohort study" in the Canadian Medical Association Journal.
• March 16, 2025: Sujay Nagaraj led a conference paper with co-author T-CAIREM research lead Anna Goldenberg "Learning under Temporal Label Noise" at the Thirteenth International Conference on Learning Representation.
• March 13, 2025: Lisa Strug supervised and co-authored "Approaches to identify scenarios for data science implementations within healthcare settings: recommendations based on experiences at multiple academic institutions" with co-authors Michael Brudno, Amol A. Verma, Azadeh Kushki, Gary D. Bader, Muhammad Mamdani in Frontiers in Digital Health.
• March 12, 2025: Abi Sriharan led "Artificial Intelligence in Healthcare: Balancing Technological Innovation With Health and Care Workforce Priorities", published The International Journal of Health Planning and Management.
• March 8, 2025: Ben Li led "A mobile health application that supports a patient centered approach to cardiovascular risk management" in npj Digital Medicine.
• February 20, 2025: Konrad Samsel co-authored an article with frequent T-CAIREM guest speaker Leo Anthony Celi on "Regulation of Artificial Intelligence in Health Care and Biomedicine" in JAMA.
• February 2025: Gemma Postill, Amol Verma, and Andrea Tricco published "Sociodemographic bias in clinical machine learning models: a scoping review of algorithmic bias instances and mechanisms" in the Journal of Clinical Epidemiology.
• January 30, 2025: Farhan M. Asrar led and co-authored "Harnessing international collaboration in the space sector to innovate healthcare" in The Journal of the Royal Society of Medicine.
• January 17, 2025: T-CAIREM members Mamatha Bhat and Michael Brudno published "Artificial intelligence applied to 'omics data in liver disease: towards a personalised approach for diagnosis, prognosis and treatment" in Gut.
• January 2025: Andrew D. Pinto and Jillian Macklin, collaborated on "Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations" in The Lancet Digital Health.
• Melissa D. McCradden, Ian Stedman, Anna Goldenberg collaborated on "What makes a ‘good’ decision with artificial intelligence? A grounded theory study in paediatric care" in BMJ Evidence-Based Medicine (BMJ EBM).
2024
• December 28, 2024: Melissa D. McCradden co-authored "Bias in machine learning applications to address non-communicable diseases at a population-level: a scoping review" in BMC Public Health.
• December 8, 2025: Mamatha Bhat, Rahul G. Krishnan, and Muhammad Mamdani co-authored "The AI Agent in the Room: Informing Objective Decision Making at the Transplant Selection Committee," a pre-print available on MedRxIv.
• October 2024: T-CAIREM members Mamatha Bhat, Bo Wang, and Michael Brudno co-authored "The emerging role of generative artificial intelligence in transplant medicine," published in Am J Transplant.
• August 5, 2025: Abigail Ortiz co-authored "Beyond Step Count: Are We Ready to Use Digital Phenotyping to Make Actionable Individual Predictions in Psychiatry?" in the Journal of Medical Internet Research.
• June 5, 2024: Mamatha Bhat co-authored "Deep learning-based pathway-centric approach to characterize recurrent hepatocellular carcinoma after liver transplantation" published in Hum Genomics.
2023
• March 17, 2023: Nihal Haque led "Artificial intelligence and geriatric medicine: New possibilities and consequences", published in the Journal of the American Geriatrics Society.
• January 11, 2023: Nihal Haque published "Artificial intelligence and geriatric medicine: New possibilities and consequences" in the Journal of American Geriatrics Society.
2022
• July 2022: T-CAIREM community lead Mamatha Bhat and member Rahul G. Krishnan collaborated on "Deep learning and the future of the Model for End-Stage Liver Disease-sodium score" in Liver Transplantation.