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FDA-Cleared Imaging AI Proliferates, But Reimbursement Stalls

FDA-Cleared Imaging AI Proliferates, But Reimbursement Stalls

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.
Radiology Business

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Radiology Business

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