Peer-Reviewed Publication
Z Med Phys2026;36(3):280-299.August 1, 2026Journal Article

Applications of artificial intelligence in nuclear medicine.

Lena Kaiser1, Thomas Wendler2, Deni Hardiansyah3, Dirk Hellwig4, Philipp Lohmann5, Stephan Nekolla6, Laszlo Papp7, Philipp Ritt8, Lalith Kumar Shiyam Sundar9, Johannes Tran-Gia10, Artem Zatcepin11, Isabelle Miederer12
1Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany. Electronic address: lena.kaiser@med.uni-muenchen.de.
2Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Augsburg, Augsburg, Germany; Digital Medicine, University Hospital Augsburg, Neusaess, Germany; School of Computation, Information and Technology, Technical University of Munich, Garching bei München, Germany.
3Medical Physics and Biophysics, Physics Department, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Depok, Indonesia.
4Department of Nuclear Medicine, University Hospital Regensburg, Regensburg, Germany; Partner Site Regensburg, Bavarian Cancer Research Center, Regensburg, Germany; Medical Data Integration Center (MEDIZUKR), University Hospital Regensburg, Regensburg, Germany.
5Institute of Neuroscience and Medicine (INM-4), Forschungszentrum Jülich, Jülich, Germany; Department of Nuclear Medicine, RWTH Aachen University Hospital, Aachen, Germany.
6Department of Nuclear Medicine, Klinikum rechts der Isar der Technischen Universität München, Munich, Germany.
7Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
8Friedrich-Alexander-Universität Erlangen-Nürnberg, Chair for Clinical Nuclear Medicine, 91054 Erlangen, Germany.
9DIGIT-X Lab, Department of Radiology, LMU University Hospital, LMU Munich, Munich, Germany.
10Department of Nuclear Medicine, University Hospital Würzburg, Würzburg, Germany.
11Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany; German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.
12Department of Nuclear Medicine, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.

Abstract

Artificial intelligence (AI) has vast potential to reshape nuclear medicine. Applications can be found at every step of the processing workflow, including image acquisition, image reconstruction, enhancement, and registration, segmentation, extraction of image-derived biomarkers, and prognostication, both for clinical and preclinical research and routine use. Emerging perspectives include computat…

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