See-Mode Augmented Reporting Tool, Thyroid (SMART-T)

K240697

See-Mode Technologies Pte. Ltd. · cleared 2024-09-09 · product code QDQ · Radiology

Premarket evidence — what FDA accepted

Device typesamd
source quote (p.4)
See-Mode Augmented Reporting Tool, Thyroid (SMART-T) is a stand-alone reporting software to assist trained medical professionals in analyzing thyroid ultrasound images of adult (>=22 years old) patients who have been referred for an ultrasound examination.
Algorithmmachine learning algorithms
source quote (p.6)
The software analyzes thyroid ultrasound images and uses machine learning algorithms to extract specific information.
Adaptive (vs locked)FDA source did not state this
PCCPFDA source did not state this
Cybersecurity addressedFDA source did not state this

Validation studies (2)

Standalone

n=600 cases

endpoints: localisation; TI-RADS descriptors; FNA outcomes

standards: IEC 62304:2006/AC: 2015, ISO 14971:2019

Reader study (MRMC)

n=600 cases

endpoints: localization; characterisation of thyroid nodules

standards: IEC 62304:2006/AC: 2015, ISO 14971:2019

Reported performance (7 observations)

aurocas written: “auc0.703CI 0.642, 0.762
source quote (p.16)
0.703 (0.642, 0.762)
accuracyas written: “Localisation Accuracy (Standalone)0.951
source quote (p.17)
95.1%
accuracyas written: “Composition Accuracy (Standalone)0.867
source quote (p.17)
86.7%
accuracyas written: “Echogenicity Accuracy (Standalone)0.682
source quote (p.17)
68.2%
accuracyas written: “Shape Accuracy (Standalone)0.934
source quote (p.17)
93.4%
accuracyas written: “Margin Accuracy (Standalone)0.584
source quote (p.17)
58.4%
accuracyas written: “Echogenic Foci Accuracy (Standalone)0.703
source quote (p.17)
70.3%

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
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). 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).

RIGOR™ Precedent · public FDA/CMS data · descriptive decision-support, not regulatory or reimbursement advice. Share this page: radar.healthai.com/precedent/device/K240697