Analysis of 8,532 AI Clinical Trials Shows Shift Toward Prognostic Applications and Highlights Gaps in Translational Maturity
A systematic review of 8,532 AI-related clinical trials registered on ClinicalTrials.gov finds that 80% were registered since 2019, with imaging-based AI comprising the largest share (29%). Trials using clinical text and NLP have increased seven-fold since 2018. Prognostic AI trials now slightly outnumber diagnostic ones, suggesting a shift in focus toward risk stratification and prediction. However, only a small fraction of trials involve semi-autonomous or closed-loop AI, and most trials remain limited in translational maturity, with few adequately powered, long-term outcome studies.
Why it matters: This large-scale mapping highlights both the rapid evolution and persistent limitations of clinical AI research, underscoring the need for more robust, geographically diverse, and clinically meaningful trials.
Full story at: arXiv Computers and Society ↗