This review sets out to discuss the foremost applications of artificial intelligence (AI),
particularly deep learning (DL) algorithms, in single-photon emission computed tomography …

This paper reviews the ecosystem of GATE, an open-source Monte Carlo toolkit for medical
physics. Based on the shoulders of Geant4, the principal modules (geometry, physics …

In prostate cancer (PCa), the use of new radiopharmaceuticals has improved the accuracy of
diagnosis and staging, refined surveillance strategies, and introduced specific and …

Radiotheranostics refers to the pairing of radioactive imaging biomarkers with radioactive
therapeutic compounds that deliver ionizing radiation. Given the introduction of very …

Recently, the application of artificial intelligence (AI) in medical imaging (including nuclear
medicine imaging) has rapidly developed. Most AI applications in nuclear medicine imaging …

Targeted radiation therapy (TRT) is a strategy increasingly adopted for the treatment of
different types of cancer. The urge for optimization, as stated by the European Council …

Metabolic processes or specific receptors serve as targets for the design of appropriate
radiopharmaceuticals. The principle of “theranostics,” in the context of nuclear medicine (Fig …

Purpose Current methods for patient‐specific voxel‐level dosimetry in radionuclide therapy
suffer from a trade‐off between accuracy and computational efficiency. Monte Carlo (MC) …

Introduction Prostate-specific membrane antigen (PSMA)-targeted radioligand therapy (RLT)
is revolutionizing the treatment landscape for metastatic castration-resistant prostate cancer …

Purpose The absorbed dose estimation from Voxel-S-Value (VSV) method in
heterogeneous media is suboptimal as VSVs are calculated in homogeneous media. The …