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arXiv · 2510.12714

Artificial intelligence for simplified patient-centered dosimetry in radiopharmaceutical therapies

Alejandro Lopez-Montes·Fereshteh Yousefirizi·Yizhou Chen·Yazdan Salimi·Robert Seifert·Ali Afshar-Oromieh·Carlos Uribe·Axel Rominger·Habib Zaidi·Arman Rahmim·Kuangyu Shi
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Abstract

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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Alejandro Lopez-Montes, Fereshteh Yousefirizi, Yizhou Chen, Yazdan Salimi, Robert Seifert, Ali Afshar-Oromieh, Carlos Uribe, Axel Rominger, Habib Zaidi, Arman Rahmim, Kuangyu Shi. 2025-10-14. Artificial intelligence for simplified patient-centered dosimetry in radiopharmaceutical therapies. https://arxiv.org/abs/2510.12714

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