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.
@article{arxiv.2510.12714,
title = {Artificial intelligence for simplified patient-centered dosimetry in radiopharmaceutical therapies},
author = {Alejandro Lopez-Montes and Fereshteh Yousefirizi and Yizhou Chen and Yazdan Salimi and Robert Seifert and Ali Afshar-Oromieh and Carlos Uribe and Axel Rominger and Habib Zaidi and Arman Rahmim and Kuangyu Shi},
journal= {arXiv preprint arXiv:2510.12714},
year = {2025}
}