AI boosts breast cancer detection in ultrasound study
NCT ID NCT07287111
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study tested whether an AI program called CadAI-B Dx helps doctors better detect breast cancer on ultrasound images. Researchers compared how 16 doctors performed with and without the AI's help, using 797 cases (350 with cancer, 447 benign). The goal was to see if the AI improves accuracy and reduces missed cancers.
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Study facts
What this study's own registry entry says, in plain language.
- Phase
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Not a phased trial
Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.
- Participants
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797 people
The number who actually took part.
- Started
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Aug 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.
- Ages
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22 years and older
- Sex
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Female participants only
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
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Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: 1. Women aged 22 years or older at the time of the breast ultrasound examination. 2. Standard B-mode breast ultrasound images available for analysis. 3. Lesions must have a confirmed diagnosis based on one of the following reference standards: 3-1. Malignant Cases: Diagnosis of breast cancer confirmed through biopsy or surgery. 3-2. Benign Cases: Confirmed as benign through biopsy or surgical excision, or confirmed as having no evidence of malignancy for at least 2 years of follow-up. Exclusion Criteria: 1. mages containing modes other than standard B-mode ultrasound, such as Doppler, elastography, or other annotations/overlays. 2. Patients who have breast implant(s). 3. Patients suffering from significant breast trauma or mastitis at the time of the breast ultrasound examination. 4. Images of post-surgical resection sites. 5. Images where multiple lesions are present within a single 2D ultrasound image
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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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Yonsei University Severance Hospital
Seoul, 03722, South Korea
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Other studies related to the condition(s) this trial covers.
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