The Current State/ Trends in Digital Phenotyping for Mental Health Research and Care

Digital phenotyping-the moment-by-moment quantification of human behavior using data from smartphones and wearables-offers new pathways for mental health research and care. This review summarizes current trends, tools, and applications of digital phenotyping, highlighting its growing clinical relevance in early detection, symptom monitoring, and personalized interventions. Although studies increasingly demonstrate its feasibility and clinical utility across conditions such as depression, anxiety, and schizophrenia, challenges persist. These challenges include inconsistent data quality, small and nonrepresentative samples, lack of methodological standardization, and pressing ethical considerations about privacy and transparency.