Mount Sinai researchers develop wearable AI to forecast sitting in women with pelvic pain

Researchers at the Icahn School of Medicine at Mount Sinai have developed an artificial intelligence approach that uses wearable device data to forecast periods of prolonged sitting in women with chronic pelvic pain disorders. The study, published in npj Women's Health, aims to move beyond generic health advice by providing personalized, well-timed prompts to encourage movement.

Chronic pelvic pain, which affects approximately one in seven women, is often linked to conditions such as endometriosis, adenomyosis, and uterine fibroids. These conditions can lead to increased sedentary behavior due to pain and fatigue. The new forecasting model identifies when prolonged inactivity is likely to occur during waking hours, potentially allowing digital health tools to suggest short walks or standing breaks before the inactivity begins.