arXiv
Open Access
2025
Artificial intelligence for simplified patient-centered dosimetry in radiopharmaceutical therapies
Alejandro Lopez-Montes
Fereshteh Yousefirizi
Yizhou Chen
Yazdan Salimi
Robert Seifert
+6 lainnya
Abstrak
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.
Topik & Kata Kunci
Penulis (11)
A
Alejandro Lopez-Montes
F
Fereshteh Yousefirizi
Y
Yizhou Chen
Y
Yazdan Salimi
R
Robert Seifert
A
Ali Afshar-Oromieh
C
Carlos Uribe
A
Axel Rominger
H
Habib Zaidi
A
Arman Rahmim
K
Kuangyu Shi
Akses Cepat
Informasi Jurnal
- Tahun Terbit
- 2025
- Bahasa
- en
- Sumber Database
- arXiv
- Akses
- Open Access ✓