Artificial Intelligence in Nuclear Medicine – Current Status and Future Perspective

Artificial intelligence with the development of deep learning has found numerous applications in the medical field over the past few years, including more specifically that of medical imaging. This includes most areas governing the medical imaging process from detector signal processing to image formation and subsequent image processing. The activity of deep learning spans from the more fundamental aspects such as image reconstruction and associated corrections to more clinical applications driven developments such as that of imaging biomarkers and their usage in patient classification for diagnosis or therapy response monitoring. Although most of these developments are still part of active research, certain software solutions are slowly finding their way in mainstream clinical reality with multiple clinical evaluation studies currently underway. The course will cover an overview of the main developments of deep learning in the different areas of image formation, processing and associated clinical applications within the field of nuclear medical imaging and associated multimodalities. Certain examples of potential clinical interest will be covered in each of the above-mentioned areas.