Cost-effectiveness analysis of artificial intelligence (AI) for response prediction of neoadjuvant radio(chemo)therapy in locally advanced rectal cancer (LARC) in the Netherlands

Findings of this study present the economic impact of a hypothetical AI-based approach to treatment response prediction in Stage II-III LARC patients who receive nCRT and are eligible for consecutive surgery. The results of this study highlight the complexity of healthcare decision-making in tools that could be cost-saving yet yield lower effectiveness when parameters are uncertain.