Exer AI, Mayo Clinic Team Up to Improve Hand and Wrist Care

Exer AI is collaborating with the Mayo Clinic to better diagnose and treat various acute and chronic hand and wrist disorders. 

The partnership will extend Exer’s advanced computer vision and artificial intelligence (AI) platform to clarify protocols for performing in-clinic, remote, and telehealth assessments without the need for wearables or sensors.
 
Exer’s AI-based hand and wrist module analyzes human body biomarkers to measure, assess, and monitor patient movement. The resulting data helps practitioners determine prognosis, diagnose conditions accurately, streamline workflows, and expand patient access through pre- and post-visit care. The module is part of the overall Exer platform that complements existing human-centered care protocols by providing objective data to inform clinical decision-making.

“Our collaboration with Mayo Clinic is an exciting and foundational step towards improving care for millions of hand and wrist patients nationwide,” Exer AI Co-Founder/CEO Zaw Thet said. “Our approach is to innovate on top of our proprietary AI models to produce vital clinical software modules that don’t rely on expensive hardware or invasive sensors. We designed the Exer platform to address motion disorders that span specialties like hand and wrist, neurology, pain/spine, PM&R, orthopedics and geriatrics to offer large health systems a complete solution they can trust to improve care at scale.”
 
Millions of patients suffer chronic hand conditions such as rheumatoid arthritis and carpal tunnel syndrome. Exer is designed to streamline care pathways, accelerate diagnosis, and improve treatment efficacy. Enabling pediatricians, primary care, and emergency room doctors to identify these pathologies with confidence can lead to earlier intervention and a reduction in complications, Exer AI claims.
 
The collaboration team at Mayo Clinic includes Nicholas Pulos, M.D., a hand and microvascular surgeon; Jess Rames, M.D., a plastic and reconstructive surgeon; and Steven Moran, M.D., professor of Plastic Surgery and Orthopedic Surgery and president of the American Society for the Surgery of the Hand (ASSH).
 
By combining AI and computer-vision technology, Exer AI and Mayo Clinic aim to create more efficient, accurate, and accessible care pathways for hand and wrist conditions. 

Based in Denver, CO, Exer is a clinical AI company that helps healthcare teams drive clinical efficiency, improve accuracy, and achieve higher patient volumes for musculoskeletal and motion disorders. The proprietary AI and computer vision platform performs accurate, validated motion diagnostics and assessments across in-clinic and remote sessions, Exer AI works seamlessly without the need for sensors or wearables to improve patient care and providers’ decision-making across complex care needs in multiple specialities, including orthopedics, neurology, pain/spine, PM&R, and geriatrics, among others.