Research Publications

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

Michael Brudno, Amol A. Verma, Azadeh Kushki, Gary D. Bader, Muhammad Mamdani, and Lisa Strug co-authored "Approaches to identify scenarios for data science implementations within healthcare settings: recommendations based on experiences at multiple academic institutions" in Frontiers in Digital Health.

• Ben Li co-authored "A mobile health application that supports a patient centered approach to cardiovascular risk management" in npj Digital Medicine.

• Farhan M. Asrar 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

• 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.


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.