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

2026/03/18 by Chunrui Zou, Walter C. Mankowski, Lauren Pantalone +11 · 1 voice
Medicine · #Artificial Intelligence in Healthcare and Education #COVID-19 diagnosis using AI #Radiomics and Machine Learning in Medical Imaging

paper · doi:10.1148/ryai.240218

openalex publication_date 2026/03/18 · openalex created_date 2026/03/20 · openalex updated_date 2026/07/31

Abstract

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.

Discussions

• A transformer-based framework integrating longitudinal multimodal medical data from chest radiographs and CT images achieves robust performance in clinical outcome prediction in patients with COVID-19 [bsky, 5 points, 0 comments]

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