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.