MEDO-Thyroid

K203502

MEDO DX Pte. Ltd. · cleared 2021-04-23 · product code QIH · Radiology

Premarket evidence — what FDA accepted

Device typesamd
source quote (p.4)
MEDO-Thyroid is a cloud-based standalone software as a medical device (SaMD) that helps qualified users with image-based assessment of thyroid ultrasound images in adult patients of 18 years and older.
Algorithmmachine learning
source quote (p.3)
MEDO-Thyroid is designed to view and quantify ultrasound thyroid image data using machine learning techniques to aid in analysis of thyroid lobes and identify thyroid nodules, including evaluation, quantification and documentation of any such nodule.
Adaptive (vs locked)No
PCCPNo
Cybersecurity addressedNo

Validation studies (1)

Retrospective clinical

sample size not stated

endpoints: Thyroid Lobe Volume (cc); Thyroid Nodule Volume (cc); ICC; Maximum % Volume Error

standards: IEC 62304:2006/AC:2015, FDA Guidance document, “Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices.”

Reported performance (2 observations)

agreement_kappaas written: “ICC (Thyroid Lobe Volume)0.972CI 95% CI 0.969-0.975
source quote (p.7)
0.972 (95% CI 0.969-0.975)
agreement_kappaas written: “ICC (Thyroid Nodule Volume)0.973CI 95% CI 0.971-0.975
source quote (p.7)
0.973 (95% CI 0.971-0.975)

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
3
MAUDE reports in code, 12mo
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/K203502