Regulatory agencies are refining approval frameworks for diagnostic medical software powered by deep learning models.
Clinical Validation Standards
Updated clearance guidelines require software developers to demonstrate algorithm efficacy across diverse demographic cohorts, reducing false-positive rates in automated radiology screenings by an estimated 18% in clinical trials.