Adaptation · Deployment & application
FDA-authorised devices built on a large language model
1What this measures
Count of distinct devices the FDA has cleared or authorised whose core function is a large language model, derived metric fda_llm_devices_count over the clearance records. The first is UpDoc (K253281, decision 23 December 2025), per the FDA 510(k) database, STAT News and Innolitics.
Why it matters. The first LLM device through review is the moment the regulated-domain speed limit meets the technology the paper is about; the count after it is the throughput of that limit.
- Proxy types
- policy
- Unit
- count
- Cadence
- quarterly
- Valve
- adoption to adaptation
2How we track this
- series
fda_510k.updoc.first_llm_device_clearance.pt - series
statnews.updoc.first_llm_device_clearance.pt - series
innolitics.updoc.first_llm_device_clearance.pt - derived metric
fda_llm_devices_count(formula in the semantic layer) - source FDA 510(k) premarket notification database · default tier 4 · Public domain (U.S. government work)
- source Innolitics regulatory articles · default tier 6 · Innolitics; short quotation
- source STAT News · default tier 5 · STAT; short quotation
- Normal band
- ≤ 3
- Fast band
- ≥ 10
- Falsifying
- —
Normal = a handful of LLM-based authorisations by end-2026, given a 510(k) path of roughly six months and a first clearance in December 2025; fast = ten or more, the regulatory throughput a fast scenario needs. Between is `emerging`.
Applied to metric:fda_llm_devices_count.
3Tracker interpretation
One device, cleared on a drug-dose-calculator predicate and publicised six months later. The public record does not itself say "LLM"; Innolitics' caveat stands.
4Evidence
3 observations. Hollow points are disputed (see counterevidence). Every point links to its observation.
Derived rows (1)
| as of | dims | value | inputs |
|---|---|---|---|
| 2025-12-23 | 1 | obs:678d971eobs:8da46094obs:f98335f0 |
5Status and reasoning
Evaluator: 1 (FDA 510(k) premarket notification database, 2025-12-23) is inside the consistent band (hi=3). Auto-reason; band rationale: Normal = a handful of LLM-based authorisations by end-2026, given a 510(k) path of roughly six months and a first clearance in December 2025; fast = ten or more, the regulatory throughput a fast scenario needs. Between is `emerging`.
6Timeline notes
- 2025-12-23 · 1as of 2025-12-23(3 obs)
7Counterevidence
What cuts against this reading
The FDA record does not name an LLM; the clearance is narrow (a diabetes dosing app); a count of one is not a rate.
8Update history
- 2026-09-10unmeasured to consistent with normalconf — → 60 · evaluate
Evaluator: 1 (FDA 510(k) premarket notification database, 2025-12-23) is inside the consistent band (hi=3). Auto-reason; band rationale: Normal = a handful of LLM-based authorisations by end-2026, given a 510(k) path of roughly six months and a first clearance in December 2025; fast = ten or more, the regulatory throughput a fast scenario needs. Between is `emerging`.
9Confidence
60 / 95 — mixed or hard to operationalise
Confidence is independent of status: 90–95 multiple strong independent sources; 70–89 good evidence, some ambiguity; 50–69 mixed or hard to operationalise; below 50 limited or vague.
10Related
- FDA-authorised AI-enabled devices, growth consistent with normal
- Waymo paid rides per week consistent with normal
- Crosswalk: Adaptation ⇄ Deployment & application (leak from)