Enhancing laryngeal pathologies diagnosis with genAI and clinical decision support systems

This project aims to enhance the diagnosis of laryngeal pathologies by integrating generative AI with clinical decision support systems, offering advanced tools for more accurate and timely assessments. A key objective is to establish a standardized dataset that serves as a reference and ground truth for validating clinical algorithms and fostering the development of robust AI solutions. By combining state-of-the-art machine learning techniques with expert-annotated clinical data, the initiative seeks to improve diagnostic accuracy, support clinical workflows, and accelerate innovation in otolaryngology.