An AI Platform integrating imaging data and models, supporting precision care through prostate cancer’s continuum
On Monday the 25th of October 2021, our researchers participated in the virtual meeting on “Artificial Intelligence: a new age of radiology?” organized by University of Torino with prof. Daniele Regge as Chairman.
Aim of the Residents’ radiology online meeting- II edition is to better understand artificial intelligence and deep learning applications in radiology. Among the discussed topics were the ethical and medical-legal aspects regarding the AI and the big picture of the AI in Radiology.
FUTURE-AI Anniversary Webinar: “The Future of AI and the Radiology Workforce” by Curtis P. Langlotz, MD, PhD. We are pleased to announce that Curtis P. Langlotz, MD, PhD, Professor of Radiology, Medicine and Biomedical Data Science at Stanford University, will deliver...
Great news!Our paper "Data infrastructures for AI in medical imaging: a report on the experiences of five EU projects" published in European Radiology Experimental, has been the Fourth most cited article for the Impact Factor 2024 calculation. A short award ceremony...
An international and multidisciplinary team, led by researchers from the Champalimaud Foundation, in Lisbon, has developed an artificial intelligence algorithm that improves the reliability of prostate cancer detection based solely on magnetic resonance imaging...
Prostate cancer is the second most commonly diagnosed cancer in men. Conventional screening relies on prostate specific antigen (PSA) levels in the blood, which can indicate prostate abnormalities but lacks specificity. Clinical examination and ultrasound also have...