1 CME Credit
AI, Onco Radiology
On-demand Webinar
Radiomics: Technical aspects and clinical applications in oncological use cases
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Topics Covered
To jump to a specific chapter, click on the chapter title once the video is playing.
00:13 - Introduction to the Webinar and Setting the Scene
01:03 - Introduction to Radiomics and AI in Oncology
01:53 - Basics of Artificial Intelligence and Machine Learning
03:33 - Applications of AI in Radiology and Introduction to Radiomics
06:40 - Challenges and Strategies in Radiomics
10:07 - Radiomic Features and Their Categories
15:04 - Importance of Stable Features in Radiomics
19:51 - Exploration of Machine Learning Techniques
22:01 - Clinical Applications and Case Studies in Radiomics
26:28 - Prognostic Modeling and Integrative Approaches
31:32 - Challenges and Future Directions in AI for Radiology
36:32 - Conclusion and Importance of Human-Centric AI
Lecturers
Nickolas Papanikolaou
Nickolas Papanikolaou, PhD (Male), is a Principal Investigator in Oncologic Imaging at CHAMPALIMAUD FOUNDATION and research group leader of the Computational Clinical Imaging Group. He is an Affiliated Researcher at Karolinska Institute and a Senior Affiliated Researcher at the Institute of Computer Science – FORTH. Dr. Nikolaos Papanikolaou studied biomedical engineering while he obtained his Ph.D. from the Medical School of the University of Crete. He has been a research associate of the Department of Radiology, University Hospital of Heraklion, from 1999 to 2009. He has published 85 scientific papers in peer-reviewed international journals and 17 chapters in international books. At the same time, he edited a series of 3 books on Diffusion-Weighted Imaging Applications in GI, GU, and Hepatobiliary systems. He has delivered more than 100 invited lectures in international congresses and educational courses. He served as a member of the editorial board of European Radiology in the section of experimental radiology while he was a member of the abdominal subcommittee of ECR. He has been awarded two research scholarships from ECR. Finally, he is an honorary member of the Spanish Society of Gastrointestinal Radiology (SEDIA). The main focus of his research is the development and validation of imaging biomarkers on cancer applications. He recently initiated the development of a Radiomics Network comprising luminary clinical sites in the US and Europe to advance research in that area of Radiomics. He is the section editor on AI, Radiomics, and Machine Learning in Cancer Imaging, and he is chairing the e-learning subcommittee of ICIS.