Simple AI models on wearables predict prolonged sitting in women with chronic pelvic pain
Researchers at Mount Sinai developed a lightweight AI model using wearable data to forecast prolonged sitting in women with chronic pelvic pain. The study, published in npj Women's Health, found that simple models performed as well as complex deep-learning approaches, enabling on-device predictions that protect privacy. This could lead to personalized digital interventions that prompt movement at optimal times, potentially improving symptom management for conditions like endometriosis.
