On the occasion of the “Health & Wellness Week” of Expo 2020 Dubai, the Bracco Group, as Official Gold Sponsor of the Italian Pavilion, presented the latest applications of artificial intelligence in the medical-scientific field during the forum “Intelligent imaging: beyond the future and back to mind” which was attended by an exceptional expert: Charles Kahn, Vice President of the Department of Radiology at the University of Pennsylvania and director of the scientific journal Radiology: Artificial Intelligence.
“Artificial intelligence – said Charles Kahn – can help add value to diagnostic radiology throughout the consultation process. AI can help select the most appropriate exam, optimize the way the exam is performed, and improve image quality. Radiologists can apply AI systems to detect abnormalities, make a diagnosis and provide recommendations for follow-up. ”
During the works it was also illustrated ‘AIforCcovid‘, the non-profit multicentre research project carried out by Bracco Imaging and the Italian Diagnostic Center (Cdi), the healthcare facility of the Group led by Diana Bracco. A project aimed at predicting, thanks to the ‘AI-for-COVID Imaging archive’ database which already contains thousands of radiological tests and which is available to the entire international scientific community, the clinical evolution of the Covid-19 disease.
Based on artificial intelligence applied to diagnostic imaging, the project is enabling doctors and healthcare professionals to have the AI-for-Covid Imaging Archive database available (https://aiforcovid.radiomica.it/) of radiographic images of Covid patients useful for understanding in advance the course of the disease in patients affected by Covid allowing personalized and more timely therapies.
The meeting was attended by Lorenzo Preda, full professor of Radiology at the University of Pavia and head of the Radiology Division at the Irccs Fondazione Policlinico San Matteo; Marco Alì, Research operation manager at Cdi and Scientific advisor for Bracco Imaging; Giovanni Valbusa, Bracco Imaging R&D Project Manager; Isabella Castiglioni, Full Professor of Medical Physics and Machine Learning at the University of Milan-Bicocca and co-founder and honorary president of the startup DeepTrace Technology.
“Today artificial intelligence algorithms – explained Castiglioni – are able to extract a large number of quantitative characteristics from medical images, often invisible to the naked eye, and to associate them with clinical data to inform doctors about the diagnosis, prognosis and response to However, these tools are developed for the most part as research tools and the transition to becoming medical devices, mandatory to bring them to the patient, is in all respects a complex challenge. artificial intelligence medical devices must undertake a path of compliance with regulations today similar to that of a drug. The Cdi, in collaboration with the start-up DeepTrace Technologies, a spin off of the University of Pavia – he added – has made this important step and today he can tell about his experience related to the memory clinic, a path of medicin a personalized predictor of neurodegenerative diseases that assists the neurologist with the informed decision of an artificial intelligence medical device marked Ce “.