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About

Parisa Rashidi is a leading researcher at the intersection of artificial intelligence and healthcare, with a primary focus on reinforcement learning for clinical applications, surgical skill assessment, and AI for gerontechnology. Her work addresses critical challenges in translating AI methods into practical medical tools, particularly in training and decision support. She has made significant contributions to developing objective prediction models for surgical competency, such as using electroencephalography, eye-tracking, and machine learning to predict robotic anastomosis performance, which has direct implications for improving patient outcomes. Her research on reinforcement learning has laid groundwork for adaptive clinical interventions, while her involvement in AI for gerontechnology highlights her commitment to applying AI to aging populations. With papers accumulating hundreds of citations, including foundational work in the AAAI Fall Symposium Series, Rashidi’s impact is evident in both academic and clinical communities. Her notable achievements include advancing the use of multimodal data for real-time surgical feedback and shaping the discourse on ethical, human-centered AI in medicine.