AI Breast Cancer Prognosis From Pathology Images
Estimates how a breast cancer is likely to behave from the slide image, to support treatment decisions.
The breast cancer specific version of prognosis software, and the FDA gave it its own device type.
The decision it supports is one of the most common in oncology: who benefits from additional treatment after surgery, and who is being put through it for very little gain.
Existing ways of answering that question often involve sending tissue away for a genomic test, which costs a lot and takes time. Software that reads a slide you already have is a different economic proposition entirely.
Clearances per Year
What the FDA Actually Signed Off On
- FDA product code
- SHW
- FDA name for it
- Pathology Software Algorithm Device Analyzing Digital Images For Breast Cancer Prognosis
- Rule number
- 21 CFR 864.3755
- Risk class
- Class 2
- Medical field
- Pathology
Before You Sign Anything
- Ask how it compares with the genomic test your team already trusts, on the same patients.
- Ask what happens when the two disagree, and who decides.
- Ask whether it was validated in the age groups and ethnic groups you treat, because breast cancer outcomes differ across them.
Every Cleared Product, Newest First
Each row links to the FDA's own record. The number in the last column is the clearance number, which is the single best thing to ask a vendor for.
| Product | Company | Cleared | FDA record |
|---|---|---|---|
| ArteraAI Breast | Artera, Inc. | May 4, 2026 | K254115 |
Clearance data comes from the FDA's public 510(k) and device classification records through openFDA. A clearance means the FDA agreed the product is close enough to something already on the market, not that the FDA tested it in your hospital. It says nothing about accuracy in your patient mix, your scanners, or your workflow. Confirm the current status and the exact cleared indication on the FDA record before you buy.