adequately validate method
A majority of AI studies don't adequately validate methods
"Nearly all of the studies published in the study period that evaluated the performance of AI algorithms for diagnostic analysis of medical images were designed as proof-of-concept technical feasibility studies and did not have the design features that are recommended for robust validation of the real-world clinical performance of AI algorithms," wrote Seong Ho Park, MD, PhD, the department of radiology and research institute of radiology at the University of Ulsan College of Medicine, Seoul, Korea, and colleagues.