Computer Vision AI for MSK Health

Computer vision AI for musculoskeletal (MSK) health uses proprietary algorithms to transform standard webcams into sophisticated biomechanics assessment tools, enabling automated physiotherapy evaluation without requiring expensive specialized equipment. The technology analyzes video of patient movements to assess posture, gait, range of motion, movement patterns, and biomechanical abnormalities. AI algorithms extract detailed movement data from 2D video, providing quantitative assessments comparable to those from expensive motion capture systems.

The technology revolutionizes preventive care by making biomechanical assessment accessible in homes, clinics, and remote settings. Patients can perform guided movement assessments through video calls or recorded sessions, with AI automatically analyzing the movements and generating detailed reports. This enables early detection of MSK issues, progress tracking during rehabilitation, and ongoing monitoring of movement health. The automated assessment reduces healthcare costs by eliminating the need for expensive equipment and enabling more frequent monitoring. Applications include physiotherapy assessment, rehabilitation progress tracking, ergonomic evaluation, sports performance analysis, and preventive MSK health monitoring. The technology democratizes access to professional-grade biomechanical assessment, making it available to more people at lower cost.