Author argues psychiatry big data needs theory-driven, within-person intensive sampling and generative AI integration to address atheoretical predictive research
This commentary, responding to Stein et al.'s critical review of big data in psychiatry, argues that psychiatry has swung from 'all theory and no data' to 'all data and no theory,' and proposes three directions: greater consideration of theory in big data use, development of idiographic psychiatry, and integration of generative AI into psychiatric research and practice.