Abstract

The integration of artificial intelligence (AI) into medical fields has led to significant improvements in diagnostic and therapeutic procedures, including laryngoscopy. This article provides an in-depth review of the advancements and practical applications of artificial intelligence (AI) in the analysis of laryngoscopic images. Starting with the basic principles of laryngoscopy and the emerging role of artificial intelligence (AI) in the field of medicine, this paper discusses the present-day uses of AI in laryngoscopy. These uses include automated detection and diagnosis, image enhancement, predictive analysis, and the integration of AI with augmented and virtual reality technologies. The incredible capacity of artificial intelligence (AI) to detect laryngeal abnormalities, enhance image clarity, and predict the development of diseases is highlighted. In addition, there is the potential of artificial intelligence (AI) to bring about an innovative change in the field of training and surgical simulations, mainly through the integration of augmented reality (AR) and virtual reality (VR) techniques. This study discusses deeply into several challenges, including problems associated with data quality, model generalizability, and ethical considerations. The review concludes by providing a brief overview of future prospects, highlighting the ongoing research into AI algorithms, the significance of collaborative AI, and the essential role provided by explainable AI. The article emphasises the potential of artificial intelligence (AI) to revolutionise the field of laryngoscopic image analysis and improve patient care by integrating technology with clinical practice.