
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
Radiology AI Devices at Elevated Risk for FDA Recalls, Study Finds
Radiology AI devices are more likely to face FDA recalls, largely due to deviations from intended use and incomplete clinical data.

•AuntMinnie
ONC Official at SIIM Calls for Smarter AI and Better Image Sharing
ONC's Dr. Jason Funderburk urges improvements in medical image sharing and AI readiness at SIIM 2024.

•HealthExec
House Moves to Block AI-Driven Medicare Prior Authorization Pilot
A U.S. House committee voted to block the expansion of an AI-driven Medicare prior authorization pilot active in six states.