AI in radiology enters a new phase of accountability

Radiology AI is transitioning from experimental curiosity to real-world accountability, demanding rigorous validation, clinical integration, and measurable impact on patient care.

• AuntMinnie commentary argues the field must move beyond technical novelty to demonstrate practical value in routine practice.
• The shift requires standardized performance monitoring, reimbursement pathways, and trust-building with clinicians and administrators.

RadPigeon summaries are original and for information only. They are not clinical advice.