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The First Multimodal GenAI Platform Delivering Precision Breast Cancer Diagnosis

Objetivo

BreastScreening-AI is a multimodal, explainable GenAI platform designed to improve accuracy, speed, and reliability in breast cancer diagnostics. Built by SensiPerception, a deep-tech spin-off from Instituto Superior Técnico, the system integrates mammography, ultrasound, and MRI into a single predictive pipeline using cross-attention deep-learning models trained on a large, expert-annotated multicentre dataset. Unlike existing single-modality AI tools, it delivers real-time, BIRADS-aligned assessments enriched with adaptive, user-tailored explanations, supporting both junior and senior radiologists.
The solution addresses persistent diagnostic challenges - false positives up to 40%, false negatives around 10%, and growing radiologist shortages - while operating seamlessly within PACS environments without requiring new hardware. Retrospective validation on >15,000 patient cases showed a 50% reduction in false positives, 60% reduction in false negatives, a fourfold increase in radiologist throughput, and a reduction of diagnostic time from 11 minutes to under 3.
The EIC Pre-Accelerator will enable BreastScreening-AI to advance from TRL 4 to TRL 6 through clinical-workflow integration, multicentre pilots, and regulatory-aligned validation supporting CE-IVDR Class IIb and FDA pathways. In parallel, the project will consolidate its IP position, strengthen business readiness, and prepare for scale-up through Siemens Healthineers’ syngo.via Frontier ecosystem. By combining deep clinical reasoning with trustworthy, human-centred AI, BreastScreening-AI aims to become the European reference solution for early, accurate, and explainable breast cancer diagnostics.

Ámbito científico (EuroSciVoc)

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Palabras clave

Programa(s)

Tema(s)

Régimen de financiación

HORIZON-CSA - HORIZON Coordination and Support Actions

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Convocatoria de propuestas

(se abrirá en una nueva ventana) HORIZON-WIDERA-2025-02

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Coordinador

SENSIPERCEPTION LDA
Aportación neta de la UEn
€ 489 941,62
Dirección
INSTITUTO PEDRO NUNES IPN INCUBADORA RUA PEDRO NUNES
3030-199 COIMBRA
Portugal
Pyme
Sí
Tipo de actividad
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Enlaces
Coste total
Sin datos