This week, the European Society of Gastrointestinal and Abdominal Radiology (ESGAR) will head to Rome, Italy, where they will host the ESGAR 2019 30th Annual Meeting and Postgraduate Course. For those interested in learning about, and improving their knowledge of, artificial intelligence (AI), ESGAR has planned a handful of sessions covering an assortment of areas within AI, including basic knowledge, clinical implementation of AI technologies, abdominal imaging, and more.
The first AI-related session, held in the Florence meeting hall, begins on Thursday, June 6, from 09:00 am until 10:30 am and will be co-moderated by Prof. Luis Martí-Bonmatí, of La Fe Health Research Institute, and Dr. Carlo Nicola De Cecco, of Emory University. The AI session, entitled “Artificial intelligence in abdominal imaging: how shall we reshape our future?” will welcome a group of speakers who will each speak on particular topics for twenty minutes, including “Artificial intelligence, machine learning, deep learning: what are they?” (G. D’Assignies, Clichy/FR), “Radiomics and radiogenomics” (E. Neri, Pisa/IT), “Clinical implementation: liver” (B. Taouli, New York, NY/USA), and “Clinical implementation: rectum” (J. Van Griethuysen, Amsterdam/NL).
The first part of the session, “Artificial intelligence, machine learning, deep learning: what are they?“, will help to familiarize participants with AI terms, such as machine learning (ML) and deep learning (DL), as well as to understand the technical aspects of said technologies and practical applications. The second part of the session, “Radiomics and radiogenomics“, will discuss the meaning of the terms radiomics and radiogenomics, and dive into the current challenges for implementation. In part three, “Clinical implementation: liver“, participants will gain an understanding of why and when AI and ML can be useful in liver imaging, as well as become more familiar with the current applications of radiomics and radiogenomics. The final part of the session, “Clinical implementation: rectum“, will, like the session prior, help participants to understand the usefulness of AI and ML in rectal cancer imaging, familiarize them with current applications of radiomics and radiogenomics, and will take a look at the challenges of future research. The session will wrap up with a brief discussion including the moderators and participating panel.
Following the panel discussion, a scientific session, entitled “Rectal cancer: diagnosis and imaging of treatment response” and moderated by Dr. Doenja M.J. Lambregts and Dr. Sofia Gourtsoyianni, will take place. Of note during this session is Dr. Marta Zerunian’s abstract, “Artificial intelligence automatic identification of complete- and non-responders using texture analysis of rectal cancer 3T MR images performed before, during and after neoadjuvant chemoradiotherapy“, which will look at a study evaluating an AI model for complete and non-responder patients with rectal cancer who were treated with neoadjuvant chemoradiotherapy.
On day two of the ESGAR 2019 annual meeting, Friday, June 7, Prof. Benoit Gallix will present an ESGAR Tutorial called “Demystification of AI-driven medical image interpretation: past, present & future“, where he will discuss the functionality, strengths, and limitations of classical image AI methods and more recent DL methods, and, in addition, take a look at the potential impact of AI on radiology from both a technical and clinical point of view.
Dates: June 5-8, 2019 in Rome, Italy
Venue: Roma Convention Center, La Nuvola – “The Cloud”, Viale Asia 40, IT – 00144 Rome
To learn more about this event, click the following link: https://www.esgar.org/annual-meeting/esgar-2019/programme
