South Korean researchers have developed a Korean AI that predicts mood disorder episodes using sleep-wake data from wearable devices such as smartwatches. This method is cost-effective and clinically applicable. AI analyzes circadian rhythms to predict depressive, manic and hypomanic episodes with high accuracy, providing a non-invasive way to manage mood disorders and improve mental health care.