| Sumario: | The article discusses the perspectives of the European Association of Nuclear Medicine on the role of artificial intelligence (AI) in molecular brain imaging. The authors highlight the potential of AI in advancing research and clinical practice in the field of molecular brain imaging. They emphasize the need for standardization of clinical brain image recording and imaging protocols, as well as the importance of annotated images and additional data for feeding AI algorithms. The article also explores the applications of AI in image acquisition, segmentation and registration, interpretability analysis, and specific clinical areas such as epilepsy, neurodegenerative and movement disorders, neuro-oncology, and psychiatric disorders. The authors acknowledge the challenges and limitations in implementing AI in these areas, including the need for large datasets, validation studies, and harmonization of AI algorithms. Overall, the article provides a comprehensive overview of the current state and future potential of AI in molecular brain imaging.
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