Unlocking resilience through wearable devices: AI-based data collection for improved well-being

Wearable devices could capture data on well-being using AI.

According to researchers at the Icahn School of Medicine in Mount Sinai, New York, applying machine learning models – a form of artificial intelligence – to passively collected data from wearable devices could identify a patient’s level of resilience and wellbeing.

The findings reported in the May 2, issue of JAMIA Open support the use of wearable devices such as the Apple Watch as a means to remotely monitor and assess psychological conditions without requiring mental health questionnaires.

The paper, entitled \”A machine-learning approach to determine resilience using wearable device data: Analysis of an observational cohort,\” highlights that resilience or the ability to overcome difficulties is an important stress reducer, as well as improving chronic disease management.