Clinical Rehabilitation AI Tools

Exer AI and Mayo Clinic Has Introduced Exer Clinical

Exer AI expanded its partnership with Mayo Clinic to clinically deploy its Exer Scan App within orthopedic workflows, moving the technology from research collaboration into routine musculoskeletal care. The platform uses computer vision and AI to capture joint motion and movement data through smartphone, tablet or laptop cameras.

The initial clinical deployment focuses on Exer AI’s hand and wrist module, which measures mobility, strength proxies and range of motion during in-person or virtual visits. Assessment results integrate directly into Mayo Clinic’s Epic workflows, automatically populating the patient record through Epic SmartNote while also supporting coding and reimbursement. Exer AI has developed approximately 144 movement assessments across multiple clinical disciplines.

For clinicians, the deployment adds camera-based movement analysis directly into existing workflows. The expansion reflects growing efforts to move validated AI assessment tools from research settings into everyday clinical practice.

Image Credit: Exer AI

Camera-based Motion Assessment
Computer vision tools that quantify joint mobility through everyday device cameras create openings for scalable musculoskeletal screening across clinics, homes and hybrid care models.
AI-enabled Clinical Documentation
Automated transfer of assessment data into electronic health records reduces manual charting friction while enabling richer reimbursement, coding and longitudinal patient tracking capabilities.
Virtual Rehabilitation Analytics
Remote movement measurement platforms extend objective rehabilitation monitoring beyond facility walls, supporting more personalized recovery pathways and higher-frequency progress evaluation.

Who This Affects Most

Orthopedic Care
Clinically validated AI movement analysis introduces new possibilities for standardized range-of-motion testing, treatment planning and post-surgical recovery measurement.
Digital Health
Integrated smartphone-based diagnostics expand the market for software-driven care tools that blend virtual visits, workflow automation and real-time patient data capture.
Health IT
Epic-connected assessment platforms highlight demand for interoperable AI systems that embed clinical intelligence directly into provider documentation and reimbursement workflows.
SCORE
5.9 out of 10
GENDER
50% Men50% Women
MARKETTop markets: North America
GENERATION
  • Gen Z
  • Gen Alpha
  • Millennial (primary audience)
  • Gen X (primary audience)
POPULARITY
Popularity 78%
Activity 0%
Freshness 100%