Homa Rashidisabet, PhD
Research Assistant Professor
Department of Ophthalmology and Visual Science
About
Homa Rashidisabet is a Research Assistant Professor of Ophthalmology and Visual Sciences. She aspires to advance translational Artificial Intelligence (AI) to shift medicine from a reactive to a proactive discipline. Her research focuses on developing deep neural networks and machine learning solutions for ophthalmic imaging to enable early diagnosis, monitoring, and assessment of complex ophthalmic conditions through disease prediction and abnormality detection.
Dr. Rashidisabet is particularly interested in:
(1) Ensuring consistent AI performance across diverse clinical settings by developing generalizable models that address domain shifts in ophthalmic imaging. Domain shift —caused by variations in data collection across institutions, devices, and patient demographics— poses a critical challenge for reliable disease prediction.
(2) Enhancing low-risk, informed clinical decision-making by developing AI models that accurately quantify their uncertainty in predictions. By improving transparency, these models help clinicians determine when to trust or question AI outputs, ultimately enhancing patient safety.
Dr. Rashidisabet earned her PhD in Biomedical Engineering from the University of Illinois Chicago and holds a BSc in Applied Mathematics from the University of Tehran, Iran, where she grew up.
Education
PhD in Biomedical Engineering: University of Illinois Chicago