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Story summary
- UMass Amherst researchers unveiled a wrist-worn AI device that assesses stroke rehab progress in real time.
- The device proved 40%–50% more accurate than clinicians at evaluating motor severity.
- It uses an accelerometer and a machine-learning algorithm created by associate professor Sunghoon Ivan Lee.
- Daily feedback could boost motivation for the 40% of stroke survivors who retain arm impairment.
- The study was published Sept 30 in Science Translational Medicine.
