Transformer-based Fusion of Longitudinal Multimodal Radiomic Features from Chest Radiography and CT in COVID-19

作者：Chunrui Zou, Walter C. Mankowski, Lauren Pantalone, Hannah Horng, Surajpal Verma, Eduardo J Mortani Barbosa, Tessa S. Cook, Peter B. Noel, Erica L. Carpenter, Jeffrey C. Thompson, Russell T. Shinohara, Leonid Roshkovan, S H Katz, Despina Kontos · 发表于：Radiology Artificial Intelligence · 年份：2026 · DOI：10.1148/ryai.240218 · 被引用次数：1 · 研究领域：Radiomics and Machine Learning in Medical Imaging、COVID-19 diagnosis using AI、Artificial Intelligence in Healthcare and Education

A transformer-based framework integrating longitudinal multimodal medical data from chest radiographs and CT images achieved robust performance in clinical outcome prediction in patients with COVID-19.