BU-CAD

K210670

TaiHao Medical Inc. · cleared 2021-12-21 · product code QDQ · Radiology

Premarket evidence — what FDA accepted

Device typesamd
source quote (p.20)
BU-CAD is a software-only device.
Algorithmartificial intelligence algorithm
source quote (p.9)
Both BU-CAD and TransparaTM are intended to identify regions suspicious for breast cancer and provide computer analytics that are then synthesized by an artificial intelligence algorithm into a single value.
Adaptive (vs locked)FDA source did not state this
PCCPFDA source did not state this
Cybersecurity addressedYes
source quote (p.20)
Draft Guidance for Industry and Food and Drug Administration Staff - Content of Premarket Submissions for Management of Cybersecurity in Medical Devices.

Validation studies (3)

Reader study (MRMC)

n=628 cases · 2 site(s)

endpoints: AUC of location-specific ROC; identify the lesion; provide a linear score of lesion characteristics (SLC); select a BI-RADS category; select BI-RADS descriptors; sensitivity; specificity; PPV; NPV

Standalone

n=1,139 cases

Bench

n=1,139 cases

endpoints: AUC stability

Reported performance (6 observations)

sensitivity0.8833CI (0.8551, 0.9115)
source quote (p.18)
Sensitivity (%): 88.33 (439/497) (0.8551, 0.9115)
specificity0.5794CI (0.5413, 0.6176)
source quote (p.18)
Specificity (%): 57.94 (372/642) (0.5413, 0.6176)
aurocas written: “auc0.8203CI (0.7947, 0.8458)
source quote (p.17)
BU-CAD Standalone (1,139 standalone study cases) AUC LROC 0.8203 (0.7947, 0.8458)
accuracyas written: “Accuracy of lesion identification algorithm0.9324
source quote (p.16)
The accuracy of the lesion identification algorithm was 93.24% (1062/1139).
ppvas written: “PPV (unadjusted)0.6192CI (0.5834, 0.6549)
source quote (p.18)
PPV (%) [unadjusted] 61.92 (439/709) (0.5834, 0.6549)
npvas written: “NPV (unadjusted)0.8651CI (0.8328, 0.8974)
source quote (p.18)
NPV (%) [unadjusted] 86.51 (372/430) (0.8328, 0.8974)

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/K210670