
Despite a surge in FDA-cleared radiology AI tools, very few qualify for reimbursement due to lack of supporting clinical studies.
Key Details
- 1Radiology comprises roughly 80% of all FDA-cleared medical AI algorithms.
- 2Only one CPT category 1 payment code for newer AI tools exists today; a second will be added in January 2026.
- 3Both reimbursement codes are specific to cardiac imaging AI applications.
- 4Hundreds of approved algorithms lack reimbursement due to insufficient clinical evidence of patient benefit.
- 5Experts attribute the problem to a disconnect between regulatory clearance and payment policy.
Why It Matters

Source
Radiology Business
Related News

ACR Approves New Framework for Assessing Imaging AI in Practice
The American College of Radiology Council has approved a new practice parameter to guide the assessment and deployment of AI in imaging.

AI in Radiology: Augmentation, Not Replacement – Risks and Realities Reviewed
AI is reshaping radiology workflows but is not ready to replace radiologists, as judgment, accountability, and clinical complexity remain unmet by current technology.

NCCN Endorses AI Risk Tools for Breast Cancer Screening
NCCN's 2026 guidelines recommend routine integration of AI-based 5-year breast cancer risk prediction from mammograms.