Medical Physics and Non-Ionizing Radiation Dosimetry and Safety: Toward Predictive, AI-Driven and Personalized Applications

Dear Colleagues,

Non-ionizing radiation (NIR) technologies—including radiofrequency, microwaves, lasers, ultrasound, and infrared—are increasingly central to medical therapies, diagnostics, industrial processes, and research applications. As these technologies proliferate, precise dosimetry, exposure quantification, and safety management become essential to maximize efficacy while minimizing biological and environmental risks. This Special Issue seeks high-impact, forward-looking contributions that advance the science, modeling, and practical implementation of NIR dosimetry and safety.

We particularly welcome research integrating computational biophysical modeling, digital twin simulations, AI-driven predictive analytics, and real-time monitoring to optimize dose delivery, device performance, and safety protocols. Experimental, in vivo, in vitro, and in silico (digital twin) studies validating exposure assessment methodologies, novel sensor technologies, and advanced therapeutic or industrial NIR applications are highly encouraged. Topics of interest include clinical and rehabilitation therapies, wearable and implantable dosimeters, regulatory and safety frameworks, environmental and occupational exposure assessment, and the development of intelligent systems for risk prediction and adaptive control.

By uniting interdisciplinary perspectives—from medical physicists and biomedical engineers to biologists, clinicians, and computational scientists—this Special Issue aims to define the next generation of NIR dosimetry and safety research. Our goal is to foster innovative, reproducible, and predictive methodologies that enable personalized, safe, and efficient use of non-ionizing radiation across healthcare, industry, and everyday life.

Prof. Dr. Constantinos Koutsojannis
Guest Editor

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