This dosimetry intercomparison evaluated epithelial/absorbed power density and temperature rise in two high-resolution anatomical human face models under localized antenna exposures at 10 and 30 GHz. The study reports a statistical correlation between spatially averaged absorbed power density and temperature rise when appropriate averaging is applied. Antenna type/configuration was identified as the dominant contributor to variability, exceeding differences from averaging methods or anatomical models.

This review examines how variability in computational dosimetry models affects assessment of human RF exposure from MHz to terahertz frequencies, focusing on SAR, absorbed power density, and temperature rise. It reports that anatomical scaling and model choices can drive meaningful differences in predicted SAR (including higher values in children/smaller models), while temperature-rise predictions are especially sensitive to thermophysiological parameters and vascular modeling. The authors indicate that computed variability remains within ICNIRP/IEEE safety margins but argue that uncertainties warrant ongoing research and refinement as new technologies (e.g., 6G) emerge.

This numerical dosimetry study modeled localized RF exposure (3–30 GHz) in multi-layer human skin constructs including skin, fat, and muscle, with an added synthetic blood vessel model. Vascular modeling had negligible impact on peak spatial-averaged absorbed power density and a modest impact on peak temperature rise (about 8% at 3 GHz, <3% above 6 GHz). The authors conclude that including vasculature can refine predictions of localized thermal distributions for dosimetry accuracy.