NeuroSymAD is a novel neuro-symbolic framework that enhances Alzheimer's disease diagnosis by integrating brain MRI analysis with clinical data through transparent reasoning processes.

• Combines deep learning for imaging analysis with symbolic reasoning for clinical data integration
• Provides interpretable diagnostic pathways that physicians can understand and trust
• Improves diagnostic accuracy by leveraging both imaging biomarkers and patient history
• Bridges the gap between AI capabilities and medical decision-making requirements

This innovation addresses a critical challenge in medical AI adoption: the need for transparent, explainable systems that integrate multiple data sources while maintaining clinical interpretability—essential for responsible implementation in healthcare settings.

NeuroSymAD: A Neuro-Symbolic Framework for Interpretable Alzheimer's Disease Diagnosis