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Artificial intelligence for simplified patient-centered dosimetry in radiopharmaceutical therapies

arXiv 2510.12714 ↗First posted 14 Oct 2025physics.med-ph cs.AI physics.app-phcited by 0

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Abstract (arXiv)

KEY WORDS: Artificial Intelligence (AI), Theranostics, Dosimetry, Radiopharmaceutical Therapy (RPT), Patient-friendly dosimetry KEY POINTS - The rapid evolution of radiopharmaceutical therapy (RPT) highlights the growing need for personalized and patient-centered dosimetry. - Artificial Intelligence (AI) offers solutions to the key limitations in current dosimetry calculations. - The main advances on AI for simplified dosimetry toward patient-friendly RPT are reviewed. - Future directions on the role of AI in RPT dosimetry are discussed.

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References · 7

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  4. 2023A task-specific deep-learning-based denoising approach for myocardial perfusion SPECTcited by 4
  5. 2021Learning Fuzzy Clustering for SPECT/CT Segmentation via Convolutional Neural Networkscited by 3
  6. 2024How to Segment in 3D Using 2D Models: Automated 3D Segmentation of Prostate Cancer Metastatic Lesions on PET Volumes Using Multi-angle Maximum Intensity Projections and Diffusion Modelscited by 2
  7. 2024A Generalizable 3D Diffusion Framework for Low-Dose and Few-View Cardiac SPECTcited by 1

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