The Role of Artificial Intelligence in Diagnosing and Managing Otologic Disorders
Keywords:
Artificial Intelligence, Otologic Disorders, Machine Learning, Deep Learning, Diagnosis, Management, Healthcare TechnologyAbstract
Artificial Intelligence (AI) has made significant strides in the healthcare sector, particularly in
the field of otology. AI has revolutionized the ways in which otologic disorders are
diagnosed, managed, and treated. This paper explores the role of AI in otology, emphasizing
its application in diagnostic accuracy, treatment planning, patient management, and surgical
interventions. The integration of machine learning, deep learning, and natural language
processing has shown immense potential in improving patient outcomes and enhancing
clinical efficiency. This review also examines the ethical considerations and challenges
associated with implementing AI in otologic practice. The paper concludes by suggesting
future directions for AI applications in otology, including the need for large-scale, multi-
center studies and the development of AI tools tailored to the unique needs of otologic
disorders.