Objective To update the literature and provide a systematic review of image‐based artificial
intelligence (AI) applications in otolaryngology, highlight its advances, and propose future …

This study presents an up-to-date survey of the use of artificial intelligence (AI) in the field of
otorhinolaryngology, considering opportunities, research challenges, and research …

Objective To provide a comprehensive overview on the applications of artificial intelligence
(AI) in rhinology, highlight its limitations, and propose strategies for its integration into …

Objective Recent advances in artificial intelligence (AI) are driving innovative new health
care solutions. We aim to review the state of the art of AI in otology and provide a discussion …

Objective To provide a state of the art review of artificial intelligence (AI), including its
subfields of machine learning and natural language processing, as it applies to …

Artificial intelligence (AI) has emerged as a versatile health-technology tool revolutionizing
medical services through the implementation of predictive, preventative, individualized, and …

Background A considerable volume of possible applications of artificial intelligence (AI) in
the field of rhinology exists, and research in the area is rapidly evolving. Objective This …

The recent literature on AI in otological imaging is promising and demonstrates the future
potential of this technology in automating certain imaging tasks in a healthcare environment …

Artificial Intelligence (AI) is a set of technologies that simulate human cognition in order to
address a specific problem. The improvement in computing speed, the exponential …

Purpose Despite the robust expansion of research surrounding artificial intelligence (AI) and
machine learning (ML) and their applications to medicine, these methodologies often remain …