Multimodal Deep Learning and Data-Centric Systems for Smart Healthcare and Clinical Decision Support
Häftad, Engelska, 2026
2 029 kr
Kommande
Multimodal Deep Learning and Data-Centric Systems for Smart Healthcare and Clinical Decision Support examines how to fuse imaging, genomics, electronic health records, and wearable sensor data into clinically actionable insights. As healthcare data becomes increasingly diverse and voluminous, there is a pressing need for integrative methodologies that preserve information across modalities while maintaining interpretability and safety. Current resources either focus on single-modality AI or domain-specific applications, leaving practitioners with fragmented guidance. This volume defines a cohesive, data-centric framework for multimodal predictive diagnostics and clinical decision support, addressing methodological foundations, reproducible pipelines, and real-world translation challenges.Integrates multimodal AI across imaging, genomics, and clinical dataPresents case studies on predictive diagnostics and decision supportAddresses explainability, fairness, and regulatory compliance challenges
