Multimodal Large Language Models: A Promising Frontier for Sarcopenia Diagnosis in Post-Acute and Long-Term Care

Sarcopenia, characterized by the progressive loss of skeletal muscle mass, strength, and function, has emerged as a critical health concern in post-acute and long-term care (PA/LTC) settings. With prevalence rates reaching 50% among adults aged 80 years and older, sarcopenia substantially increases the risk of falls, fractures, functional disability, and mortality.1,2 Despite its clinical significance, sarcopenia remains underdiagnosed due to the complexity of current diagnostic approaches and limited accessibility of specialized assessment tools in PA/LTC facilities.