AI-Powered Smartphone Apps Detect Depression with High Accuracy
Researchers at Stevens Institute of Technology have developed two AI-driven smartphone applications to detect signs of depression non-invasively. PupilSense uses eye measurements to identify potential depressive episodes with 76% accuracy, while FacePsy analyzes facial expressions and head movements to detect mood changes. Depression affects nearly 300 million people worldwide, but detecting it can be challenging, … Read more