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
• Nihal Haque led "Artificial intelligence and geriatric medicine: New possibilities and consequences", published in the Journal of the American Geriatrics Society.
• 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.
• 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.
• Abi Sriharan led "Leadership for AI Transformation in Health Care Organization: Scoping Review", published in The Journal of Medical Internet Research.
• 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.
• Ben Li led "Artificial intelligence guided imaging as a tool to fill gaps in health care delivery" in NPJ Digital Medicine.
• 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.
• Ben Li led "Advancing perioperative care with digital applications and wearables" in NPJ Digital Medicine.
• Bo Wang supervised and co-authored "Towards multimodal foundation models in molecular cell biology" in Nature.
• 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.
• Gemma Postill co-authored "Evaluation of a Canadian social media platform for communicating perinatal health information during a pandemic" in PLOS Digital Health.
• 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.
• Ben Li led "A mobile health application that supports a patient centered approach to cardiovascular risk management" in npj Digital Medicine.
• 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.
• 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.
• 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).
• 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.
2024
• 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.
• 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.
• 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.
2023
• Nihal Haque published "Artificial intelligence and geriatric medicine: New possibilities and consequences" in the Journal of American Geriatrics Society.
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.