Abstract
In this modern era of healthcare, technological
advancements have revolutionized the way medical
procedures are conducted, leading to improved patient
outcomes and enhanced efficiency. One area where this
transformation is particularly evident is in
otorhinolaryngology, a branch of medicine specializing
in the diagnosis and treatment of disorders related to the
ears, nose, and throat. With the rapid evolution of
artificial intelligence (AI) technologies, there has been a
paradigm shift in the approach to otorhinolaryngological
procedures, ushering in a new era of precision, accuracy,
and innovation. Artificial intelligence, encompassing
machine learning algorithms and deep neural networks,
has demonstrated remarkable capabilities in analyzing
complex medical data, interpreting diagnostic images,
and assisting healthcare professionals in decisionmaking processes1
.In the field of otorhinolaryngology,
AI applications are increasingly being integrated into
various aspects of patient care, from diagnosis to
treatment planning and surgical interventions.

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