Clinical pre/post-surgery video motion data trains one model across neurology, spine, senior care

zawthet · x · 2026-11-12

zawthet describes a healthcare AI data strategy that differs from public motion datasets (healthy volunteers, studio, one session): his team uses real clinical visits ordered by surgeons, pairing the same patient pre-op and at 3 months with clinical reasons attached. Coverage spans knees, neurology, PM&R, spine and senior care — tremor amplitude, sit-to-stand wattage, sway, hand and wrist signals — as video-derived pose, joint angles and continuous signals labeled by encounter. Goal: one model for every department.

Related event: iPad Gait Analysis at AAHKS: 28% of Knees Show Static-Walking Alignment Mismatch(6 posts)→

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