A Study Of AI-Driven Computer Vision Module (EXER AI) For Assessment Of Hand Function In Tetraplegic

Overview

About this study

The purpose of this study is to demonstrate feasibility and reliability of EXER AI–derived hand and finger joint angle measurements versus clinician-obtained goniometry in SCI patients.

Participation eligibility

Participant eligibility includes age, gender, type and stage of disease, and previous treatments or health concerns. Guidelines differ from study to study, and identify who can or cannot participate. There is no guarantee that every individual who qualifies and wants to participate in a trial will be enrolled. Contact the study team to discuss study eligibility and potential participation.

Inclusion Criteria:

  • Age ≥ 18 years with cervical spinal cord injuries

  • Capacity to provide informed consent

Exclusion Criteria: 

  • Upper‑limb musculoskeletal injury unrelated to SCI in the past 3 months

  • Severe joint contractures precluding standard range‑of‑motion tests

  • Cognitive impairment limiting consent or task performance

Note: Other protocol defined Inclusion/Exclusion Criteria may apply.

 

Eligibility last updated 06/18/2025. Questions regarding updates should be directed to the study team contact.

Participating Mayo Clinic locations

Study statuses change often. Please contact the study team for the most up-to-date information regarding possible participation.

Mayo Clinic Location Status Contact

Rochester, Minn.

Mayo Clinic principal investigator

Kitty Wu

Open for enrollment

Contact information:

Kitty Wu

wu.kitty@mayo.edu

More information

Publications

Publications are currently not available
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CLS-20597242

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