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To AI or not to AI in Neurology: That is the Question
December 12, 2025 – 13:30 – 14:30 CET
This webinar will explore state-of-the-art AI approaches for advancing neuroimaging, with a particular focus on quantitative PET. It will cover the entire imaging pipeline, from preprocessing, acquisition, and tomographic reconstruction to quantification, segmentation, denoising, and resolution enhancement, demonstrating how modern AI can enable more reproducible and robust brain PET biomarkers. Through two expert presentations and practical case examples, the webinar will showcase how AI-driven methodologies are reshaping neuroimaging research and supporting more accurate diagnosis and disease monitoring.
Learning Objectives
- Learn the principles behind AI-based quantitative PET methods
- Understand how AI can enhance each stage of the neuroimaging pipeline, from preprocessing and reconstruction to segmentation, denoising, and resolution recovery.
- Critically assess when AI meaningfully improves neuroimaging workflows
- Recognize emerging opportunities and challenges in integrating AI tools into brain PET
Target Audience
Nuclear physicians, medical physicists, imaging scientists and radiologists working in PET neuroimaging
Faculty

Pablo Aguilar Fernández
Moderator
Dimitris Visvikis
Speaker