Apple Watch May Soon Identify User's Mental Health with AI-Powered Wearables

Researchers at the Icahn School of Medicine in New York have found that utilizing machine learning models to analyze data collected from wearable devices can remotely monitor and assess a user's mental health. The breakthrough supports the use of wearables like the Apple Watch to detect the level of resilience and well-being of a patient without actively engaging them. The study, called "A machine learning approach to determine resilience utilizing wearable device data," shows that passively collected data from wearable devices could predict psychological characteristics, indicating a need for further assessments. This innovative approach is presented as an opportunity to improve access to mental health services for people who might not have had access to them previously.