DeepMammo is a cloud solution which allows clinical professional to get an early diagnosis of breast cancer, exploiting AI algorithms. This solution supports screening imaging workflow, increasing radiologists’ performance, enhancing diagnosi accuracy, decreasing daily workloads and reducing costs.
Breast cancer is the most frequent cancer kind in the female population, it represents 25% of total cancer occurrences and 1 of 8 women will be diagnosed with breast cancer. The early diagnosis is the only effective method to fight this plague, that’s why in Italy every year four million women are subjected to mammographic screening.
Radiologists are held back by an increasing workload of exams without any findings and human expertise won’t be able to match the ever increasing workload.
DeepMammo is a breast cancer workflow tool created to support Digital Imaging workflow in order to help radiologists and clinic professional in their daily work, providing them with an enhanced diagnostic accuracy in a shorter time.
Deep Mammo detects potentially suspicious exams and pre-writes reports for human experts to double-check. We used state-of-the-art machine learning techniques to learn from a dataset of thousands of exams provided by our trusted partners.
Our team is supported by an Advisory Board which includes professional physicians and clinic experts, and is coordinated by our Chief Scientific Officer, Prof. Emanuele Neri. Emanuele is Associate Professor of Radiology at the University of Pisa, Chairman of the 3d Academic Unit of Diagnostic Imaging and Director of the Course in Diagnostic Imaging of the Medical Faculty.
On Saturday 15th February our CTO Lorenzo will give a talk to the High School students from “Liceo Mazzini” in La Spezia. Presenting Aptus.AI achievements,
Did you miss our CEO Andrea Tesei interview at Radio Next? Nevermind: it is still available here. Through our success cases, Andrea shown up behind