Genius AI Detection 2.0 with CC-MLO Correlation

K230096

Hologic, Inc. · cleared 2023-05-23 · product code QDQ · Radiology

Premarket evidence — what FDA accepted

Device typesamd
source quote (p.5)
Genius AI Detection is a software device intended to identify potential abnormalities in breast tomosynthesis images. Genius AI Detection 2.0 with CC-MLO Correlation is a software-only device.
Algorithmdeep learning networks
source quote (p.5)
Genius AI Detection analyzes each standard mammographic view in a digital breast tomosynthesis examination using deep learning networks.
Adaptive (vs locked)FDA source did not state this
PCCPFDA source did not state this
Cybersecurity addressedYes
source quote (p.6)
"Content of Premarket Submissions for Management of Cybersecurity in Medical Devices" issued on October 2, 2014.

Validation studies (1)

Retrospective clinical

n=667 cases

endpoints: accuracy of the CC-MLO Correlation feature; safety and effectiveness in detecting soft tissue lesions and calcification lesions and correlating the CC-MLO findings

standards: IEC 62304: 2015, ISO 14971: 2012

Reported performance (1 observation)

accuracyas written: “accuracy of the CC-MLO Correlation featurestated without value
source quote (p.11)
The accuracy of the CC-MLO Correlation feature was estimated in both groups by scoring the detection pairs against the truth pairs and by evaluating the expert radiologist's response, respectively.

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
1
drift signals on this device
  • re_clearance

    The FDA AI/ML device list shows a newer 510(k) K243341 (decision 2025-07-31) from Hologic, Inc. for a matching device line ("Genius AI Detection 2.0") — a new clearance for the same line is a change event.

    first seen 2026-07-08 · k_number:K243341

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/K230096