AI in Healthcare & Science · FDA Regulation of AI Medical Devices
How Many AI Medical Devices Has the FDA Authorized?
The FDA has authorized several hundred AI- and machine learning-enabled medical devices to date, a number that has grown substantially over recent years and continues to increase, though the exact current count changes frequently as new devices are authorized, so checking the FDA's own regularly updated public list is the most reliable way to get a precise, current figure.
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Legal disclaimer
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Key takeaways
- The number of FDA-authorized AI- and machine learning-enabled medical devices has grown substantially in recent years.
- The FDA maintains a public list of these devices that is updated periodically as new authorizations occur.
- Radiology-related applications have historically made up a significant share of authorized AI medical devices.
- Because this number changes frequently, any specific figure should be verified against the FDA's current, up-to-date public resources.
A Growing Number, Best Checked at the Source
The FDA has authorized a substantial and steadily growing number of AI- and machine learning-enabled medical devices in recent years, reflecting both rapid advances in the underlying technology and increasing interest from medical device manufacturers in bringing AI-powered tools to market through the agency’s established regulatory pathways. Because this number continues to grow as new devices are authorized on an ongoing basis, citing any specific figure here risks becoming outdated quickly. The most reliable way to get an accurate, current count is to consult the FDA’s own public list of authorized AI- and machine learning-enabled medical devices, which the agency maintains and periodically updates.
This growth trend itself is a meaningful data point: it indicates that AI-powered medical devices have moved from a niche, experimental category to an increasingly established and expanding part of the medical device landscape.
Radiology Has Historically Led the Way
Among the areas where AI-enabled medical devices have been most heavily represented, radiology has historically stood out as a significant category. This makes intuitive sense given that image analysis tasks — identifying patterns, anomalies, or features within medical images like X-rays, CT scans, or MRIs — align well with the kind of pattern-recognition strengths that current AI and machine learning techniques are particularly suited to. While authorized AI devices span a range of other medical specialties and applications as well, radiology’s prominence in this space reflects both a good technical fit between AI capabilities and imaging analysis, and the substantial amount of imaging data historically available to help develop and validate these kinds of tools.
Why Tracking the Exact Count Matters
Understanding roughly how many AI medical devices the FDA has authorized, and how that number has changed over time, provides useful context for evaluating claims about AI’s role in modern healthcare — it’s a concrete, verifiable indicator of how far AI-powered medical devices have actually moved into regulated clinical use, as opposed to remaining purely experimental or research-stage technology. Because these figures are dynamic and continue to evolve, anyone seeking a precise, current number for research, reporting, or decision-making purposes should check the FDA’s own regularly updated public resources directly rather than relying on a fixed figure that may no longer reflect the current landscape.
Bottom Line
The FDA has authorized a substantial and steadily growing number of AI- and machine learning-enabled medical devices, with radiology applications historically representing a significant share, though the exact current count changes frequently, making the FDA’s own regularly updated public list the most reliable source for an accurate, up-to-date figure.
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Important caveats
- This answer intentionally avoids citing a specific number, since the count changes frequently; readers should consult the FDA's current public list for an accurate, up-to-date figure.
Frequently asked questions
Where can I find the current, official number of FDA-authorized AI medical devices?
The FDA maintains and periodically updates a public list of AI- and machine learning-enabled medical devices, which is the most reliable and current source for this information rather than relying on older articles or secondhand figures that may be outdated.
What medical specialties have the most FDA-authorized AI devices?
Radiology has historically represented a significant portion of FDA-authorized AI- and machine learning-enabled medical devices, reflecting how well-suited image analysis tasks are to current AI capabilities, though authorized devices span a range of other specialties as well.
Is the number of authorized AI medical devices growing quickly?
Yes, the overall trend has been substantial growth in the number of authorized AI- and machine learning-enabled medical devices over recent years, reflecting both advancing technology and increasing industry interest in bringing AI-powered tools through the FDA's regulatory process.
Related questions
- Does the FDA Approve AI-Powered Medical Devices?
- What Is the Difference Between FDA Clearance and FDA Approval for AI Tools?
- What Happens If an FDA-Approved AI Medical Device Is Later Found to Be Unsafe?
- How Does the FDA Evaluate AI Software That Continues to Learn After Approval?
- How Are AI Medical Tools Tested for Safety Before Release?
- Are AI Mental Health Apps Regulated?
Sources
- [1]Artificial intelligence and machine learning-enabled medical devices — U.S. Food and Drug Administration
- [2]Health technology regulation resources — U.S. Department of Health and Human Services
Written by Editorial Team
Last updated July 25, 2026
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