Artificial Intelligence and Digital Innovation in Otolaryngology: Clinical Applications and Research Implications

This chapter critically evaluates the rapidly expanding role of artificial intelligence, machine learning, and deep neural networks in otolaryngology, encompassing automated audiogram analysis, computer-aided detection of laryngeal and sinonasal pathology on endoscopy, AI-driven interpretation of temporal bone computed tomography, and natural language processing in surgical outcome research. It addresses the methodological standards required for clinical validation, the regulatory and ethical frameworks governing AI-based medical devices, and the prospects for AI integration into otolaryngological research workflows.