AI-Guided Radiomics for Predicting Immunotherapy Response in Melanoma Patients

Abstract

This paper explores the use of AI-driven radiomics to predict melanoma patients' response to immunotherapy. The study developed a machine learning model that analyzes medical imaging features extracted from CT and MRI scans to identify patterns associated with treatment efficacy. By correlating these imaging biomarkers with clinical outcomes, the model can predict which patients are more likely to benefit from specific immunotherapy drugs. The approach offers a non-invasive method to guide treatment decisions, potentially improving survival rates in patients with advanced melanoma. The study shows a leap in personalized cancer care by integrating AI into routine clinical decision-making.