Guilan University of Medical Sciences

AI–based radiomics models for thyroid ultrasound often lack interpretability, limiting clinical trust. This study aims to develop and validate a fully interpretable radiomics framework for thyroid nodule classification by linking quantitative ultrasound featu...

To address the limited robustness of existing CT-based radiogenomic models, this study develops a multicenter framework for non-invasive dual prediction of EGFR and KRAS gene mutations in personalized management of non-small cell lung cancer (NSCLC), comparin...