This research explores how artificial intelligence enhances hyperspectral imaging (HSI) capabilities across multiple industries by capturing both spatial and spectral data invisible to conventional systems.

• Integration of deep learning with HSI dramatically improves analysis capabilities and precision
• Applications span healthcare diagnostics, food quality control, agriculture, and security systems
• Technology advances include improved spectral resolution, miniaturization, and computational efficiency
• AI-driven HSI enables real-time processing of complex multispectral data

Medical Impact: In healthcare, AI-enhanced HSI offers non-invasive diagnostic tools that can detect tissue abnormalities, analyze blood oxygen levels, and potentially identify early disease markers invisible to conventional imaging—revolutionizing both diagnostics and surgical guidance systems.

AI-Driven HSI: Multimodality, Fusion, Challenges, and the Deep Learning Revolution