This narrative review examined the application of radiomics and artificial intelligence (AI) in precision radiotherapy for women with cervical cancer. The goal was to understand if these advanced tools could improve how radiation is planned and delivered to individual patients. The review covered potential uses such as better target delineation, predicting how tumors might respond to treatment, and assessing risks of side effects.
While the technical performance of these AI models appears encouraging in existing studies, the evidence has important limitations. Most data comes from retrospective analyses rather than forward-looking trials. Additionally, there is insufficient standardization across different imaging systems and limited model interpretability, which makes it hard to fully trust the results in every clinical setting.
The main reason to be careful is that the uncertain impact on clinical decision-making means these tools are not yet ready for routine use without further validation. Readers should take from this that while the technology is scientifically interesting, it does not yet represent a proven change in standard care for cervical cancer patients.