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Adaptation · Deployment & application

FDA-authorised devices built on a large language model

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.

Reason through this

The reading

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.

Every readingeach dot links to its record
count
a readingnormal rangefast range
reported

1 reading drawn from the derived metric fda_llm_devices_count; 3 observations in the evidence.

Derived (fda_llm_devices_count) from: FDA 510(k) premarket notification database; STAT News; Innolitics regulatory articles. FDA 510(k) database. STAT News. Innolitics.

The numbers
as ofreadingvaluerecord
2025-12-23—1reported

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.

What cuts against it

The FDA record does not name an LLM; the clearance is narrow (a diabetes dosing app); a count of one is not a rate.

How it is measured
  • 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
  • proxy policy · cadence quarterly · valve adoption to adaptation

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.

Derived rows (1)
as ofdimsvalueinputs
2025-12-231sources123
Latest readings
  • 2025-12-23 · 1as of 2025-12-23(3 obs)
Why this status, and its history

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`.

  1. 2026-09-10unmeasured to consistent with normalconf — → 60 · the evaluator (automatic)

    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`.

    sources123
Why this confidence

Rests on 3 observations from FDA 510(k) premarket notification database, Innolitics regulatory articles, STAT News; best evidence tier 4, grade A; current.

Confidence is independent of status: 90–95 multiple strong independent sources; 70–89 good evidence, some ambiguity; 50–69 mixed or hard to operationalise; 0–49 limited or vague evidence.