This session will highlight recent advances in head and neck MRI, integrating innovations in radiofrequency coil design, deep learning–based image reconstruction, and their impact on clinical diagnosis. The technical components will focus on optimized head and neck coils and AI-enabled reconstruction methods that improve signal-to-noise ratio, spatial resolution, and acquisition efficiency. Clinical applications will emphasize high-resolution imaging of the cranial nerves, with particular relevance to the evaluation of cranial nerve palsy, as well as advanced MRI techniques for head and neck cancer detection, staging, and treatment assessment. By bridging hardware and artificial intelligence developments with real-world clinical challenges, the session will demonstrate how emerging technologies are enhancing image quality and diagnostic confidence.