Toward Integrated Clinical-Computational Nuclear Medicine
Faraz Farhadi1, Shadi A Esfahani2, Fereshteh Yousefirizi3
1Department of Radiology, Nuclear Medicine and Molecular Imaging, Massachusetts General Hospital, 55 Fruit Street, White 427, Boston, MA 02114, USA; Department of Nuclear Oncology, Institute of Nuclear Medicine, Bethesda, MD 20815, USA.
Abstract:
The field of clinical-computational nuclear medicine is rapidly advancing, fueled by artificial intelligence, tracer kinetic modeling, radiomics, and integrated informatics. These technologies improve imaging quality, automate lesion detection, and enable personalized radiopharmaceutical therapy through physiologically based pharmacokinetic modeling and voxel-level dosimetry. Workflow automation and Natural Language Processing further enhance operational efficiency. However, successful implementation and adoption of these tools require clinical oversight to ensure accuracy, interpretability, and patient safety. This article highlights key computational innovations and emphasizes the critical role of clinician-guided evaluation in shaping the future of precision imaging and therapy.
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