Artificial Intelligence in Head and Neck Surgery and Otolaryngology

Introduction: Artificial intelligence (AI) has the potential to revolutionize the medical field by improving efficiency, accuracy, and decision-making in patient care.

Methods: This study reviews the current applications of AI in the medical field with its potential application in Otolaryngology, including image analysis, treatment planning, decision support, drug discovery, predictive analytics, robotics, natural language processing, and risk stratification. We reviewed current uses of AI in the medical field and how they could potentially be implemented in the field of Otolaryngology.

Results: AI can be used to analyze medical images, such as Ultrasound or CT scans, or pathology slides to assist otolaryngologist and other physicians in making a diagnosis. Additionally AI can be used in treatment planning by analyzing patient data and medical literature to help doctors plan the most effective treatment for a patient. Additionally AI can help doctors make decisions about patient care by analyzing patient personal data and compare it to available outcomes data and survival data providing information about treatment options. AI can also assist in predictive analytics to predict the likelihood of a patient developing a certain condition or response to a particular treatment. Risk Stratification using AI may help identify those at high risk of certain diseases or complications and target preventive interventions accordingly. Robotics is another field of where AI can improve precision and reduce errors. Natural Language Processing will assist in extracting data from unstructured data such as electronic health records and clinical notes.

Conclusions: AI can be used in a variety of ways in the field of Otolaryngology, although AI is not expected to be able to replace what physicians performs. AI will enhance our abilities in image analysis, treatment planning, decision support, drug discovery, predictive analytics, robotics, natural language processing, and risk stratification. The goal of AI will be to improve efficiency, accuracy, and decision-making in patient care.