Kay Wu is a diagnostic radiology resident physician at the University of Toronto. She completed her Master of Science in Biomedical Informatics at Harvard Medical School as a Frank Knox Memorial Fellow, where her work spanned the development of a large-scale deep learning system for automated lumbar spine MRI classification, the advancement of AI-assisted radiology reporting, and the curation of global imaging datasets to support equitable model development.

Kay’s research interests are in the design, evaluation, and responsible implementation of AI tools in imaging diagnostics and workflow optimization, including leveraging large language models to improve reporting workflows, and in how radiologists understand, trust, and collaborate with intelligent systems. She has received numerous accolades for her academic and leadership contributions, including the Canadian Medical Association Leadership Award and the Canadian Medical Hall of Fame Medical Student Award.

Beyond research, Kay is interested in health systems innovation, global health delivery, and mentorship. She is also an artist and writer whose creative work has been featured in multiple outlets, including the Canadian Medical Association Journal and the Canadian Family Physician. Her creative and medical interests intersect in a passion for bridging clinical practice, technology, and humanistic care.
COI: None Declared