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Following the excitement of ECR 2019, there is less than one month until ESOR’s premium event: Intelligence. Innovation. Imaging. The Perfect Vision of AI, which will be held in Barcelona, Spain from April 5-6. This event will be focused on all things artificial intelligence (AI), including machine learning, big data, ethics and responsibility, and education, as well as hold several sessions covering a variety of disciplines within radiology.

The programme is designed in such a way that offers participants a chance to gain an overall understanding from an introduction to AI on the first day, focusing on the fundamentals and background of this technology. This comes in the form of sessions such as “Artificial Intelligence. The view of the computer scientist”, which will cover basic concepts of AI, its history, and its use in medicine. With this basic understanding of AI absorbed, participants will dive further into AI during the subsequent sessions: “Machine and deep learning in radiology“, in which Assiciate Professor Marleen de Bruijne will discuss the technical principles of AI in radiology and the difference between machine learning and deep learning; “Imaging biomarkers and radiomics: source of big data of AI“, where Professor Luis Martí-Bonmatí will explore how AI can be applied to, and improve, imaging biomarkers and radiomics; and, finally, a session from Professor Daniel Rueckert entitled “From raw data to beautiful images“, which teaches how AI can be applied to image acquisition and reconstruction. The first day of the programme will conclude with several sessions focusing on clinical applications of AI in several body parts presented by prominent leaders in their respective fields.

Next, after gaining a basic understanding of AI, its history, and its clinical applications, day two will commence with a session chaired by Professor Bernd Hamm on the impact of AI in radiology. This session will examine AI in imaging workflow, the impact of AI on education of radiologists, how AI will affect continuous education in radiology, and how AI will change the management role of radiological departments. The “can’t miss” session that follows will be a keynote lecture on AI and radiology by Professor Toby Walsh, of the University of New South Wales and Data61. As an expert in the field of artificial intelligence, Walsh will provide insight into what AI can and cannot do and how it will re-imagine the profession of radiology. Following the keynote lecture, Walsh will join several experts in radiology in a panel discussion on the future of radiology and radiologists.

The final session of Intelligence. Innovation. Imaging. The Perfect Vision of AI will cover AI in relation to professional issues, chaired by Professor Peter Mildenberger. This session will answer questions such as “Is the radiologist or the AI responsible for the diagnosis?” and “Who controls patient data?” As a complement to the programme, this event will host a session at the end of day two that will be open to SME companies in the field of AI, allowing them to showcase their products and discuss the advantages that come from working with AI tools across a variety of scenarios.

To learn more, visit the following link: https://www.mAIesr.org/

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