João Pedrosa was interviewed by the “90 Segundos de Ciência” Podcast on Antena 1 about CMU Portugal’s Large Scale project, TAMI. The project’s main mission is to develop Artificial Intelligence algorithms to support a medical diagnosis.
TAMI will create a set of tools based on these AI algorithms that will explain to clinicians and researchers the diagnosis of a specific disease and its causes, focusing on cervical cancer, lung diseases, and eye diseases. João Pedrosa, researcher at INESC TEC and Professor at FEUP, explains “the images we use in the project are Chest radiography (CXR) images. Radiologists use these images to screen for various pathologies such as pulmonary nodules, atelectasis, pneumonia, or COVID-19. As several pathologies can be diagnosed from these images, the experience and knowledge of a radiologist are necessary to analyze them.” The idea behind the TAMI project is that automated analysis systems can help radiologists and other clinicians look at these images and make the right decisions for the patient.
Recently the project’s team published a paper that was featured in the media on the use of Artificial Intelligence (AI) and Deep Learning (DL) in the complementary diagnosis of COVID-19 by Chest radiography (CXR) through deep learning. More about this paper here.
The project, being led by First Solutions, with INESC TEC, Fraunhofer Portugal, Administração Regional de Saúde do Norte (ARS Norte), and CMU Electrical and Computer Engineering Department, will work on a commercial, scientific, and academic platform that will provide “consumers” access to results and explanations of diagnostic orders, filtered data sets access for investigators or scientists, and a knowledge base for academic purposes.
More about the TAMI project here.
Available online at 90 Segundos de Ciência website.
