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Multimodal Deep Learning for Integrating Chest Radiographs and Clinical Parameters: A Case for Transformers

Firas Khader, Gustav Müller‐Franzes, T. S. Wang, Tianyu Han, Soroosh Tayebi Arasteh, Christoph Haarburger, Johannes Stegmaier, Keno K. Bressem, Christiane Kühl, Sven Nebelung, Jakob Nikolas Kather, Daniel Truhn

2023Radiology91 citationsDOI

Abstract

See also the editorial by Kitamura and Topol in this issue.

Topics & Concepts

MedicineRadiographyReceiver operating characteristicModality (human–computer interaction)Intensive care unitMedical imagingIntensive careRadiologyNuclear medicineArtificial intelligenceInternal medicineIntensive care medicineComputer scienceCOVID-19 diagnosis using AIPhonocardiography and Auscultation TechniquesMachine Learning in Healthcare
Multimodal Deep Learning for Integrating Chest Radiographs and Clinical Parameters: A Case for Transformers | Litcius