AI ultrasound could revolutionize breast cancer screening in poor regions

NCT ID NCT07462351

Recruiting now Diagnosis Sponsor: Region Skane Source: ClinicalTrials.gov ↗

First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study tests whether non-experts using AI-supported ultrasound can effectively screen for breast cancer in communities with limited access to radiologists. About 4,800 women, both with and without symptoms, will receive a clinical breast exam and AI-guided ultrasound. The goal is to see if this approach can accurately detect cancer, potentially making screening more affordable and widespread.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance: AI-supported point-of-care ultrasound (POCUS)
What this could lead to: If successful, this could provide a low-cost, accessible breast cancer screening method for communities with limited resources.
What could go wrong: This is an early feasibility study, not a treatment trial. The AI tool may not match expert radiologists, and false positives or negatives could occur.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Get updates

Get notified about this study

Sign up to get updates when this study changes or when new studies for BREAST CANCER are added.

Our safety recommendation!

By submitting, you agree to our Terms of use

Conditions

The condition(s) this trial relates to.

breast cancer breast neoplasm

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

BREAST CANCER

Contacts and locations

Locations

Arba Minch University and health care facilities and markets in the Gamo Zone
RECRUITING

Arba Minch, Gamo Zone, Ethiopia

More trials for these conditions

Other studies related to the condition(s) this trial covers.