Michael Balas
MD
Michael Balas is an ophthalmology resident at the University of Toronto focused on artificial intelligence, big data, and innovation in medicine. His work centers on developing scalable, technology-driven solutions to improve clinical care and decision-making.
His research spans AI-assisted surgical analysis, pharmacovigilance, and large-scale health data studies. He has led projects examining the safety of ophthalmic therapies, surgical trends across national datasets, and the application of machine learning to clinical outcomes. His work has been published in peer-reviewed journals and presented internationally.
Beyond research, Michael is involved in physician leadership and health system initiatives, contributing to discussions on workforce planning and the integration of emerging technologies into clinical practice.
He is particularly interested in interdisciplinary collaboration and building high-impact projects that challenge conventional approaches in medicine.