An Ensemble Approach to Bimanual Motor Skill Assessment in Medicine

Medical errors, including surgical errors, collectively rank as the third leading cause of death in the U.S., following cancer and cardiovascular disease. At our center, we are advancing physics-based simulation technologies and developing novel AI paradigms grounded in medical imaging to reduce medical errors. These innovations provide platforms for assessing surgical and emergency medicine skills as well as for pre-operative treatment planning. Our vision incorporates an ensemble approach that leverages multimodal datasets, including measurements from brain imaging, eye-tracking instruments, and video cameras, to enable formative assessments of bimanual motor skills in medicine.

Lead PI: Dr. Rahul Rahul

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