AI matches radiologists in breast cancer screening study
NCT ID NCT07298252
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study tested an AI system called Carebot AI MMG to see if it can detect breast cancer from mammograms as accurately as human radiologists. Researchers looked at 222 past mammograms from four screening centers. The AI classified each exam as low, medium, or high risk, and its results were compared to readings from three experienced radiologists. The goal was to see if the AI could match or beat human performance in spotting cancer.
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Study facts
What this study's own registry entry says, in plain language.
- Participants
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222 people
The number who actually took part.
- Started
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Jan 2025
- Finished
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Nov 2025
- Lead sponsor
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A company
The lead sponsor is a pharmaceutical, biotech, or medical-device company.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
Women undergoing routine screening mammography at four participating centers in Central Europe. The analytical dataset consists of a retrospectively assembled case-control subset of 222 anonymized 2D FFDM examinations (48 malignant and 174 non-malignant) selected from a source cohort of 4,729 screening studies.
- Ages
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18 years and older
- Sex
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Female participants only
- Healthy volunteers
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Accepted
You do not need to have the condition being studied to take part.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * Female sex * Age ≥ 18 years at the time of the screening mammogram * Screening full-field digital mammography (FFDM) examination with all four standard views (LCC, RCC, LMLO, RMLO) available * Sufficient image quality and complete DICOM metadata to allow retrospective analysis Exclusion Criteria: * Male sex * Age \< 18 years * Digital breast tomosynthesis (DBT/3D) examinations without a corresponding full 2D FFDM four-view series * Incomplete mammography series (missing one or more of LCC, RCC, LMLO, RMLO) * Corrupted or unreadable DICOM files * Missing or inconsistent key metadata (e.g., laterality, view, acquisition date)
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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Dolnooravská nemocnica s poliklinikou MUDr. L. N. Jégého
Dolný Kubín, 026 14, Slovakia
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Nemocnica s poliklinikou Považská Bystrica
Považská Bystrica, 017 01, Slovakia
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Poliklinika MEDICON Budějovická
Prague, 14000, Czechia
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Ľubovnianska nemocnica
Stará Ľubovňa, 064 01, Slovakia
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