A. Mohammadi

Longitudinal evaluation of C3- and L3-derived skeletal muscle indices for cancer-specific survival and recurrence endpoints in radiotherapy-treated head and neck cancer

From Density to Biopsy Decisions and Malignancy Prediction: A Benchmark Study of Multimodal Large Language Models Against Radiologists in Digital and Contrast-Enhanced Mammography

Purpose: To compare four multimodal large language models (MLLMs) with radiologists of varying expertise in breast density assessment, BI-RADS assessment, biopsy candidacy determination, and continuous malignancy probability estimation using digital mammography (DM) and contrast-enhanced mammography (CEM). Methods: Thi...

From ACR O-RADS 2022 to Explainable Deep Learning: Comparative Performance of Expert Radiologists, Convolutional Neural Networks, Vision Transformers, and Fusion Models in Ovarian Masses

OBJECTIVES The 2022 update of the Ovarian-Adnexal Reporting and Data System (O-RADS) improves risk stratification of adnexal lesions; however, radiologist interpretation remains subject to inter-observer variability and conservative diagnostic thresholds. Concurrently, deep learning (DL) models demonstrated promise in...