Developing AI to help radiologists interpret breast images
Breast cancer screening can miss cancers or produce false alarms, delaying diagnosis or leading to unnecessary biopsies. Radiologist shortages add pressure to services that must interpret imaging accurately and identify cancers early enough for effective treatment.
BreastScreening-AI is developing AI to help radiologists review mammograms, ultrasound and MRI images. Its research software supports second opinions and clinical decisions, with clinicians responsible for final interpretation.
What stands out about BreastScreening-AI
A 2022 research study with 45 clinicians across nine institutions reported fewer false positives and negatives with AI assistance.
Secured an EIC Pre-Accelerator grant with an EU contribution of up to €490,000; the agreement was signed in June 2026.
Received a €150,000 Portugal Ventures investment through the fifth Call INNOV-ID.
Instituto Superior Técnico identifies BreastScreening-AI as a spin-off founded at the University of Lisbon engineering school.
Founder Francisco Maria Calisto is an ISR-Lisboa researcher and co-author of the published BreastScreening-AI evaluation.
Instituto Pedro Nunes lists BreastScreening-AI in its incubator company directory under the Start incubation model.
An exploratory Hospital da Luz pilot involved seven physicians testing workflow integration, usability and decision support.
The company reports PRR and European Union financial support through the Startup Voucher programme for its development operation.
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