Nuclear Medicine is witnessing a growing clinical significance of Artificial Intelligence (AI) and Informatics in imaging, which are anticipated to significantly enhance accuracy in diagnosis and treatments in the coming years. However, the implementation of AI in Nuclear Medicine still poses significant challenges. Deliberate and collective efforts are required to prevent rushed implementation, delays in the desired objectives, or unwarranted apprehension among end-users.
The goal of this Research Topic is to provide a themed collection of current research in the field of AI and Informatics in Nuclear Medicine which represents the current advancements, solutions of challenges, and the future of the field. University Medical Center Groningen organizes the first,
AI & Informatics in Nuclear Medicine Symposium and we wish to welcome contributors that will attend this conference to submit the work on the proposed theme.
We are interested in submissions that discuss the use of AI and informatics in nuclear medicine. These include:
• Physics-related topics such as image reconstruction, hardware development, simulation, and dose reduction
• Computer science-related topics including image analysis, image segmentation, registration, motion compensation, and big data
• Radiochemistry-related topics such as the design of new radiotracers with AI
• Clinical applications such as in neuroimaging, psychiatry, neurology, oncology, cardiovascular imaging, musculoskeletal imaging, imaging inflammation, and infection, and pediatric imaging
• Applications of AI in radionuclide therapy, radiation therapy guidance/assessment by PET and/or SPECT
More general articles discussing awareness, ethical complexities, and wider applications for AI in Nuclear Medicine are also appreciated.
