MammoScreen BD

K241561

Therapixel · cleared 2024-10-02 · product code QIH · Radiology

Premarket evidence — what FDA accepted

Device typesamd
source quote (p.6)
MammoScreen BD is a software-only device (SaMD) using artificial intelligence to assist radiologists in the interpretation of mammograms.
AlgorithmImage feature-based with deep learning
source quote (p.8)
Image feature-based with deep learning
Adaptive (vs locked)No
source quote (p.8)
Predetermined Change Control Plan (PCCP) including: • Support of GE mammograms (no re-training required) • Support of Siemens mammograms (re-training required) • Pre-training of backbone using Unsupervised Machine Learning (as opposed to Supervised Machine Learning)
PCCPYes
source quote (p.21)
MammoScreen BD is powered by machine-learning neural architectures. Therapixel will make future algorithm improvements under a PCCP. The plan describes the future modifications, assesses their impact, and a modification protocol details how data management, re-training, performance evaluation and update procedures will be handled.
Cybersecurity addressedFDA source did not state this

Validation studies (1)

Retrospective clinical

n=922 patients · 3 site(s)

endpoints: accuracy; reproducibility; agreement with ground truth; confusion matrix; correctly classified examinations

standards: IEC 62304:2006/A1:2016

Reported performance (21 observations)

agreement_kappaas written: “quadratically-weighted Cohen's kappa (four-class)0.8903CI [87.43 – 90.56]
source quote (p.10)
On the four-class task, MammoScreen BD achieved a quadratically-weighted Cohen's kappa of 89.03, 95% confidence interval [87.43 – 90.56].
accuracyas written: “Accuracy (four-class)0.8468CI [82.68, 86.67]
source quote (p.11)
Accuracy = 84.68 with CI = [82.68, 86.67]
agreement_kappaas written: “Cohen's Kappa (quadratic, four-class)0.8903CI [87.43, 90.56]
source quote (p.11)
Cohen's Kappa (quadratic) = 89.03 with CI = [87.43, 90.56]
agreement_kappaas written: “Cohen's Kappa (linear, four-class)0.8294CI [80.67, 85.22]
source quote (p.11)
Cohen's Kappa (linear) = 82.94 with CI = [80.67, 85.22]
agreement_kappaas written: “quadratically-weighted Cohen's kappa (binary)0.845CI [81.46, 87.36]
source quote (p.11)
On the binary classification task, MammoScreen BD achieved a quadratically-weighted Cohen's kappa of 84.50, 95% confidence interval [81.46, 87.36].
accuracyas written: “Accuracy (binary)0.9229CI [90.82, 93.77]
source quote (p.11)
Accuracy = 92.29 with CI = [90.82, 93.77]
agreement_kappaas written: “Cohen's Kappa (linear, binary)0.845CI [81.46, 87.36]
source quote (p.11)
Cohen's Kappa (linear) = 84.50 with CI = [81.46, 87.36]
accuracyas written: “Accuracy (FFDM only)0.8485CI [82.09, 87.33]
source quote (p.13)
Accuracy = 84.85 with CI = [82.09, 87.33]
agreement_kappaas written: “Cohen's Kappa (quadratic, FFDM only)0.8911CI [87.01, 91.00]
source quote (p.13)
Cohen's Kappa (quadratic) = 89.11 with CI = [87.01, 91.00]
agreement_kappaas written: “Cohen's Kappa (linear, FFDM only)0.8308CI [79.99, 85.84]
source quote (p.13)
Cohen's Kappa (linear) = 83.08 with CI = [79.99, 85.84]
agreement_kappaas written: “Cohen's Kappa (quadratic, 2DSM only)0.8889CI [85.88 – 91.50]
source quote (p.13)
The same metric achieves a value of 88.89, 95% CI [85.88 – 91.50] when evaluated on 2DSM mammograms (see the figure below).
agreement_kappaas written: “Cohen's Kappa (quadratic, Age < 55)0.8793CI [85.19 – 90.26]
source quote (p.14)
Age <55: 87.93 (95% CI: 85.19 – 90.26)
agreement_kappaas written: “Cohen's Kappa (quadratic, 55 <= Age < 65)0.9122CI [88.05 – 93.77]
source quote (p.14)
55 ≤ Age < 65: 91.22 (95% CI: 88.05 – 93.77)
agreement_kappaas written: “Cohen's Kappa (quadratic, Age >= 65)0.8715CI [82.70 – 90.96]
source quote (p.14)
Age ≥ 65: 87.15 (95% CI: 82.70 – 90.96)
agreement_kappaas written: “Cohen's Kappa (quadratic, Thickness < 50 mm)0.8581CI [81.99 – 89.30]
source quote (p.16)
Thickness < 50 mm: 85.81 (95% CI: 81.99 – 89.30)
agreement_kappaas written: “Cohen's Kappa (quadratic, 50 mm <= Thickness < 70 mm)0.869CI [84.25 – 89.34]
source quote (p.16)
50 mm ≤ Thickness < 70 mm: 86.90 (95% CI: 84.25 – 89.34)
agreement_kappaas written: “Cohen's Kappa (quadratic, Thickness >= 70 mm)0.8929CI [85.19 – 92.89]
source quote (p.16)
Thickness ≥ 70 mm: 89.29 (95% CI: 85.19 – 92.89)
agreement_kappaas written: “Cohen's Kappa (quadratic, White race)0.8788CI [81.82 – 93.18]
source quote (p.18)
White: 87.88 (95% CI: 81.82 – 93.18)
agreement_kappaas written: “Cohen's Kappa (quadratic, Asian race)0.8711CI [80.22 – 93.04]
source quote (p.18)
Asian: 87.11 (95% CI: 80.22 – 93.04)
agreement_kappaas written: “Cohen's Kappa (quadratic, Black or African American race)0.9082CI [85.58 – 94.97]
source quote (p.18)
Black or African American: 90.82 (95% CI: 85.58 – 94.97)
agreement_kappaas written: “Cohen's Kappa (quadratic, American Indian or Alaska native or native Hawaiian or Pacific islander race)0.5385CI [0.00 - 83.33]
source quote (p.18)
American Indian or Alaska native or native Hawaiian or Pacific islander: 53.85 (95% CI: 0.00 - 83.33)

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
2
drift signals on this device
  • re_clearance

    The FDA AI/ML device list shows a newer 510(k) K243685 (decision 2025-08-22) from Therapixel for a matching device line ("MammoScreen BD") — a new clearance for the same line is a change event.

    first seen 2026-07-08 · k_number:K243685

  • re_clearance

    The FDA AI/ML device list shows a newer 510(k) K243679 (decision 2025-07-03) from Therapixel for a matching device line ("MammoScreen® (4)") — a new clearance for the same line is a change event.

    first seen 2026-07-08 · k_number:K243679

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/K241561