Denti.AI Detect

K230144

Denti.AI Technology, Inc. · cleared 2023-10-06 · product code MYN · Radiology

Premarket evidence — what FDA accepted

Device typesamd
source quote (p.3)
Denti.AI Detect is a Computer-Assisted Detection (CADe) software device intended to be used by dental professionals, comprising dentists and dental specialists, while reading extraoral and intraoral 2D dental radiographs.
AlgorithmFDA source did not state this
Adaptive (vs locked)FDA source did not state this
PCCPFDA source did not state this
Cybersecurity addressedFDA source did not state this

Validation studies (3)

Bench

n=709 images · 6 site(s)

endpoints: across-category wAFROC AUC exceeds the predefined threshold of 0.6

Bench

n=193 images · 9 site(s)

endpoints: Bitewing: CEJ-Bone: Sensitivity; Bitewing: CEJ-Bone: Specificity; Bitewing: CEJ-Bone: MAE; Bitewing: CEJ-Bone/CEJ-Root Ratio: MAE; Periapical: CEJ-Bone: Sensitivity; Periapical: CEJ-Bone: Specificity; Periapical: CEJ-Bone: MAE; Periapical: CEJ-Root: Sensitivity; Periapical: CEJ-Root: Specificity; Periapical: CEJ-Root: MAE; Periapical: CEJ-Bone/CEJ-Root Ratio: MAE; Extraoral: CEJ-Bone-Root: Sensitivity; Extraoral: CEJ-Bone-Root: Specificity; Extraoral: CEJ-Bone/CEJ-Root Ratio: MAE

Reader study (MRMC)

n=154 images · 5 site(s)

endpoints: across-category reader performance

Reported performance (3 observations)

sensitivity0.981CI 96%, 99.5%
source quote (p.8)
98.1% (96%, 99.5%)
specificity0.93CI 88.7%, 96.7%
source quote (p.8)
93% (88.7%, 96.7%)
aurocas written: “auc0.737CI 0.713, 0.761
source quote (p.7)
The study met its primary endpoint with an across-category wAFRPOC AUC of 0.737 and a 95% CI of (0.713, 0.761).

Each value carries its own analysis unit and task — never compare or pool across devices. Source: 510(k) summary PDF.

Predicate network

Postmarket — what happened after clearance

0
recalls in product code, 24mo
0
MAUDE reports in code, 12mo
-100%
vs code's own 3-yr baseline
0
drift signals on this device

Recall and MAUDE counts are product-code-level (reports aren't reliably attributable to one device); a recall is shown as device-attributed only when the recall record itself lists this clearance number. Signals are descriptive observables with sources — never a judgment that the device is unsafe or drifting. Snapshot 2026-07-08.

Reimbursement — how devices like this got paid

Not yet tracked — no payment pathway indexed for this clearance (the reimbursement corpus is a growing seed set).

Applicable FDA guidance — what the submission is measured against

FDA guidance documents and guiding principles applicable to 510(k) AI/ML devices in the Radiology panel. A curated reference index, not legal or regulatory advice — each item states its own status, and a draft is never binding.

Applicability is derived from the device's FDA advisory panel and pathway — cross-cutting guidances apply to every AI/ML device; panel-specific ones are flagged. Titles, dates, and links verified against fda.gov as of July 2026.

Constat Precedent · public FDA/CMS data · descriptive decision-support, not regulatory or reimbursement advice. Share this page: constat.dev/precedent/device/K230144