Wearable AI forecasts prolonged sitting in women with chronic pelvic pain

Researchers at the Icahn School of Medicine at Mount Sinai have developed an artificial intelligence (AI) approach that uses data from wearable devices to forecast upcoming periods of prolonged sitting in women with chronic pelvic pain disorders.

The findings, published in the Sept. 30 online issue of npj Women’s Health, could inform personalized digital health tools that prompt an individual to move, such as by taking a short walk, at the right time while minimizing unnecessary alerts.

Chronic pelvic pain affects an estimated 1 in 7 women and frequently occurs in people with conditions such as endometriosis, adenomyosis and uterine fibroids. These conditions are often associated with prolonged sitting because of pain, fatigue and other symptoms that affect daily life.

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