Introduction to Artificial Intelligence

Michail E. Klontzas is the chief resident of the Radiology residency program at the University Hospital of Heraklion and collaborating researcher of the Institute of Computer Science of the Foundation for Research and Technology (ICS-FORTH, Greece). He holds a PhD from Imperial College London, an MD from the University of Crete and has worked as a postdoctoral researcher at Emory University School of Medicine. His research interests lie within musculoskeletal radiology with emphasis on radiomics and artificial intelligence. He is a member of the trainee Editorial Board of Radiology: Artificial Intelligence (RSNA), elected board member of EuSoMII and member of the board of the Radiology Trainee Forum of the ESR. He has published > 55 PubMed-indexed articles,  six book chapters for international publishers and his work has been presented in conferences in Europe and the USA.Salvatore Claudio Fanni is a young third-year radiology resident of theAcademic of Radiology at the University of Pisa. He has published Pub-med indexed articles, and chapters for international publishers, and actively participated in national and international conferences. His major research interests are thoracic radiology, in particular quantitative CT, and Natural Language Processing applications in Radiology. He is a member of the young club committee of EuSoMII and collaborates with the Imaging Lab in Pisa on many EU projects.Emanuele Neri is full Professor of Radiology, Chairman of the Radiology Department at Pisa University Hospital, and Chair of the Post-Graduate School of Radiology and Faculty of Diagnostic Imaging of the University of Pisa. Published more than 170 papers, and 6 books, in the fields of Imaging Informatics, Gi Tract, Head and neck and oncologic imaging. He is a member of national and international societies in the field of radiology, and President-elect of the European Society of Oncologic Imaging. Lead the Imaging Laboratory of the University of Pisa, involved in several EU projects.

• What is Artificial Intelligence: History and Basic Definitions.- Programming Languages and Tools Used for AI Applications.- Introduction to Traditional Machine Learning.- Machine Learning Methods for Radiomics Analysis.- Natural Language Processing (NLP).- Deep Learning.- Data Preparation for AI Purposes.- Current Applications of AI in Medical Imaging.