A Survey on Deep Multimodal Approaches for ChestRadiology Exams

Key Points

• Multimodal approaches improve diagnostic accuracy in chest radiology, enhancing image analysis.
• Key evidence shows that deep learning methods outperform traditional techniques in radiology applications.
• This survey reviews various deep learning algorithms used in chest radiology to assess their effectiveness and limitations.
• The findings highlight the potential of these techniques to transform diagnostic practices, calling for further exploration.