Explainable AI in Healthcare: A Hybrid CNN-ViT Approach for Pneumonia Detection Using SHAP
- Title
- Explainable AI in Healthcare: A Hybrid CNN-ViT Approach for Pneumonia Detection Using SHAP
- Creator
- Nanjundan, Preethi; Mishra, Suraj; George, Jossy P.; Dash, Bibhuti Bhusan
- Description
- The adoption of Artificial Intelligence (AI) in healthcare has improved diagnostic accuracy, particularly in medical imaging. However, the opaque nature of deep learning models raises concerns about interpretability in high-stakes applications such as pneumonia diagnosis. This study proposes an Explainable AI (XAI) framework that integrates a Hybrid CNN-ViT architecture with SHAP (SHapley Additive Explanations) for pneumonia detection from chest X-rays. Our approach achieves competitive diagnostic performance (94% accuracy) while enhancing transparency by highlighting clinically relevant features such as lobar consolidations and ground-glass opacities. By grounding explanations in established radiological findings, the framework supports clinical trust and regulatory compliance. This work contributes to bridging the gap between AI performance and medical accountability, positioning explainable deep learning as a trustworthy tool for real-world healthcare deployment. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
- Source
- Communications in Computer and Information Science;Volume;2730 CCIS;pp.286-308
- Date
- 01-01-2026
- Publisher
- Springer Science and Business Media Deutschland GmbH
- Subject
- CNN-ViT; Explainable AI; Medical Imaging; Pneumonia Detection; SHAP
- Coverage
- Nanjundan P., Department of Data Science, CHRIST University, Bangalore, India; Mishra S., Department of Data Science, CHRIST University, Bangalore, India; George J.P., Department of Data Science, CHRIST University, Bangalore, India; Dash B.B., School of Computer Applications, KIIT Deemed to be University, Bhubaneswar, India
- Rights
- Restricted Access; Hardcopy may be available in the library
- Relation
- ISSN: 18650929; ISBN: 978-303212231-5;
- Format
- online
- Language
- English
- Type
- Conference paper
Collection
Citation
Nanjundan, Preethi; Mishra, Suraj; George, Jossy P.; Dash, Bibhuti Bhusan, “Explainable AI in Healthcare: A Hybrid CNN-ViT Approach for Pneumonia Detection Using SHAP,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 17, 2026, https://archives.christuniversity.in/items/show/25377.