Fellowship in AI-Driven ENT Diagnostics

This fellowship program focuses on the intersection of Otorhinolaryngology and digital health informatics. It covers the application of machine learning and computer vision to improve diagnostic accuracy in ear, nose, and throat pathology. Participants will examine how AI models analyze endoscopic images, CT scans, and audiological data. The curriculum addresses the technical foundations of medical informatics, data privacy regulations, and the practical implementation of AI tools in clinical settings to support evidence-based decision making in modern ENT practice.