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
Without reimbursement, the financial incentives for clinical adoption of imaging AI are limited, slowing broader deployment of these technologies. Bridging the gap between regulatory approval and payment is critical for real-world impact of AI in radiology.
Source
Radiology Business
Related News
•Radiology Business
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.
•Radiology Business
ACR Expands Resources for Radiology Practices to Assess Imaging AI
The ACR is offering new tools to help radiology practices evaluate and monitor imaging AI algorithms.
•AuntMinnie
FDA Rejects Petition to Exempt Radiology AI Devices from 510(k) Review
FDA denies a petition to exempt certain radiology AI software from 510(k) review, stressing ongoing regulatory oversight.