Improving Clinical Decision-Making in Radiotherapy: A Comparative Analysis of Linear-Quadratic <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.svg"><mml:mi mathvariant="monospace">L</mml:mi><mml:mi mathvariant="monospace">Q</mml:

While the LQ and LQL models offer promising tools for personalised radiotherapy, their interpretation and implementation remain highly variable. In addition, the question of professional responsibility in dose equivalence calculations emerged as a key issue as many departments lack clearly defined accountability frameworks. This study emphasises the need for standardised guidelines, enhanced training programs, and decision support systems to reduce interobserver variability and ensure effective clinical adoption, ultimately improving patient care. The findings underscore the importance of harmonising predictive modelling practices to achieve more consistent and effective radiotherapy outcomes.