The Breast project aims to develop a technology, based on deep learning neural networks, exploiting the power of Artificial Intelligence (AI) for the improvement of mammographic cancer prevention. The AI models on with the technology is based have been developed by the Health Triage Team together with Researchers from the DAUIN (Department of Automatic and Informatics) of the Polytechnic of Turin.
Today 93% of the screening mammograms carried out are negative, a comforting figure, but highly time consuming for the professional resources involved. The goal of Health Triage technology is to overturn the current paradigm, improving its efficiency. The screening mammograms acquired are processed by AI Triage technology, those identified as negative, with 100% absolute certainty, are reprogrammed at the next control exam. This optimizes the work of radiologists so that they can devote their precious time to women who need a more careful reading.
Every year, all women aged 45 to 74 living in Europe are invited and undergo a screening mammography exam. Unfortunately, there is a professional deficit. In several European territories and in some Italian regions there is a lack of doctors to carry out this activity with the right attention and in the necessary dimensions. Health Triage technology can help solve this problem by enabling the achievement of optimal coverage goals set by screening program guidelines. AI Triage technology can offer an adequate response to the growing demand for clinical and diagnostic quality by the population, allowing a wide spread of these prevention initiatives in favor of women, essential for saving lives.