This session highlights the rapidly growing synergy between artificial intelligence and biophotonics for medical diagnosis. By combining advanced spectroscopic and imaging modalities --- such as Raman spectroscopy, multimodal optical imaging, and label-free photonic techniques --- with state-of-the-art machine-learning and deep-learning algorithms, AI-driven biophotonics enables faster, more accurate, and more objective detection and classification of diseases. The session will showcase recent advances in automated data analysis, real-time decision support, and clinically relevant diagnostic applications, illustrating how AI empowers biophotonics to deliver robust, interpretable, and clinically translatable solutions across oncology, infection diagnostics, and personalized medicine.