Radiation medicine has become one of the major techniques for the diagnosis and treatment of cancer. Measurement of various radiation effects presents a challenge for dosimetry processes. Dosimetry evaluates the accuracy of radiation interactions. It is a useful methodology in clinical settings.

However, there is a lack of proper tools for the rapid development of radiation medicine techniques. To meet the pace of the tremendous advancements of diagnostic and therapy applications, new state-of-the-art methods are used for detecting and analyzing results. They become more desirable to quantify outcomes in clinical practice. Outdated devices and techniques may not be suitable for modern dosimetry protocols and could misinterpret end results. Expedited and computerized dosimetry are essential methods allowing us to follow any advanced radiation medicine usage. Moreover, they enable us to catch possible human errors in the process. Furthermore, certain detectors may need to be revisited for their physical and characteristic analysis.

The aim of this Special Issue is to bring together original research and review articles discussing advanced dosimetric techniques in modern radiation medicine. We welcome submissions including current or new radiation-related quantifications, new measurement devices, new methodologies of measurements, computational dosimetry in radiation therapy, risk management of clinical dosimetry, etc. We also welcome research focusing on clinical dosimetry, diagnostic imaging, and therapeutic radiation medicine.

Potential topics include but are not limited to the following:

• Clinical dosimetry for radiation therapy
• Ion and proton therapy dosimetry
• Hyperthermia dosimetry
• Clinical dosimetry of special treatment protocols
• Dosimetry detectors and devices
• Computer simulation of dosimetry outcomes
• Two-dimensional (2D) and three-dimensional (3D) dosimetry calculations and measurements
• Dosimetry measurement techniques
• Risk management of clinical dosimetry using process control techniques
• Artificial intelligence for dosimetric management