Radiology accounts for 76% of all FDA-cleared AI/ML-enabled medical devices as of the end of 2025.
Key Details
- 1A longitudinal analysis covered 1,430 FDA-authorized AI/ML medical devices between 1995 and late 2025.
- 2Annual authorization of such devices jumped from 1.8 (1995-2014) to 264 per year (2023-2025), with 331 approvals in 2025 alone.
- 3Radiology devices represented 76.5% (1,094 of 1,430) of all authorized devices; cardiovascular and neurology followed.
- 4Most devices (96%) went through the streamlined 510(k) approval pathway; De Novo and PMA routes were rare.
- 5740 companies contributed devices, but only 13 made up 17.3% of authorizations, indicating market concentration.
- 6Several clinical specialties (e.g., pathology, OB/GYN, psychiatry) had very few or no authorized AI devices.
Why It Matters
This analysis underscores radiology's central role in AI medical device innovation and regulatory clearance, shaping the present and future landscape of imaging AI in medicine. The findings highlight both rapid progress and areas where broader adoption is needed, informing researchers, vendors, and policymakers.
Source
AuntMinnie
Related News
•AuntMinnie
AI’s Path in Radiology Hinges on Tech, Policy, and Human Insight
SIIM-CAIMI keynote highlights that AI's future in radiology depends on synchronized advances in technology, regulation, finance, and culture.
•Radiology Business
Meta Funds Ohio State’s Radiology AI Innovation Projects
Meta will fund Ohio State researchers to explore AI-driven advancements in radiology, including chest X-ray reporting and disease prediction.
•AuntMinnie
SIIM-CAIMI Leaders Discuss Key Trends in Imaging AI Deployment
SIIM-CAIMI program chairs highlight AI's transition from algorithm evaluation to real-world implementation in medical imaging.