
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

•AuntMinnie
Citizen Petition Proposes Streamlined FDA Pathway for Radiology AI
A petition urges the FDA to allow certain radiology AI software updates via postmarket study requirements instead of new 510(k) applications.

•Radiology Business
NVIDIA Envisions Autonomous AI Agents Transforming Radiology
NVIDIA foresees a major shift in radiology toward autonomous AI agents and imaging systems that could revolutionize patient care.

•Radiology Business
FDA Approves 56 New AI Radiology Devices, Total Tops 1,000
FDA updates its list with 56 new AI-powered radiology devices, bringing the total to over 1,000 approved tools.