The endpoint of this study is to develop and validate algorithms, using artificial intelligence and machine learning, to optimize patient selection, treatment planning, treatment evaluation and outcome prediction in patients undergoing thermal ablation of a malignant liver tumor. The long-term objective is to establish thermal ablation as the treatment of choice for the vast majority of patients with a primary or secondary liver tumor by development of an accessible workflow that can be widely implemented in different centers performing thermal ablation. Over a time span of at least four years, data will be collected prospectively, encompassing patient information, tumor characteristics, and treatment details. Additionally, pre-, intra-, and post-procedural imaging will be systematically gathered.