Introduction to Computer Vision in Clinical Practice
Written by FMS Discussion Group Series
Every other clinical domain has tools for objective measurement. Movement assessment has traditionally been the exception—but that is beginning to change.
In this video, Dr. Ryan Comeau explores how computer vision and 3D motion capture are adding an objective layer to movement assessment, giving clinicians measurable data to complement their clinical expertise and established frameworks like the SFMA.
Dr. Comeau discusses the evolution of 3D motion capture from biomechanics labs to mobile LiDAR technology that can capture clinical-grade movement data from the palm of your hand. He also outlines four important factors practitioners should consider when evaluating computer vision technology: data volume, true 3D depth sensing rather than 2D estimation, clinical validation, and an established track record.
Most importantly, this isn't about replacing clinical judgment. It's about strengthening it. Objective 3D movement data can help clinicians screen more efficiently, document findings more clearly, support reimbursement, track changes over time, and give patients tangible information that may improve understanding and compliance.
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