Multimodal Mri-based Deep-radiomics Model Predicts Response In Cervical Cancer Treated With Neoadjuvant Chemoradiotherapy

This article discusses the development of a model using multimodal MRI, radiomics, and deep learning to predict the treatment response in cervical cancer patients who received neoadjuvant chemoradiotherapy. The model showed promising results in predicting patient outcomes and could potentially be used to guide treatment decisions.