RF-fields in MRI, next to exciting spins, also deposit heat, which may cause tissue temperature rise. To avoid excessive heating, RF power in MRI investigations is constrained. The Specific Absorption Rate (SAR) is the metric adopted to define the exposure of MRI patients to RF fields. Standard IEC 60601-2-33 recommends limiting both the average of the SAR calculated on a body portion (e.g. whole body SAR) and the peak value of local SAR (evaluated over 10 g of tissue). Whereas the average SAR values are relatively simple to monitor, peak local SAR values are more difficult to estimate and depend on numerous factors (anatomy, body composition, posture, and position relative to the RF coils). To improve the accuracy of peak local SAR estimation, it would be desirable to have techniques capable of personalizing the assessment for the specific patient being examined, using subject-specific information obtainable within the same MRI examination. This member initiated session aims to illustrate some of the most promising technical solutions currently under development for this purpose. In particular, the following will be discussed: - Simulation methods that use Electric Properties Tomography (EPT) to obtain a subject-specific mapping of the dielectric properties of the patient's body, as well as the corresponding electric fields; - Approaches that process the information provided by the MRI scanner through artificial intelligence tools; - Attempts to customize the evaluation of SAR in the case of pregnant patients, taking into account the actual position of the fetus. Special attention will be paid to the feasibility of the proposed approaches and their current level of maturity. Each presentation will be followed by 5 minutes of questions and answers. The presentations will be complemented by a final roundtable (at least 15 minutes), during which the audience will have the opportunity to interact with the speakers. Specifically, an online monitoring tool will be applied to obtain the opinion of the audience about potential applications and practicability of image-based SAR assessment, serving as pivot point for the roundtable.