Artificial intelligence based diagnosis of sulcus: assesment of videostroboscopy via deep learning.

Ömer Tarık Kavak Şevket GündüzCabir VuralNecati Enver

Published in: European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery (2024)

The utilization of a CNN-based model serves as a significant aid in the diagnosis of sulcus, a VF disease that presents notable challenges in the diagnostic process. Further research could be undertaken to assess the practicality of implementing this approach in real-time application in clinical practice.

Keyphrases

artificial intelligence
deep learning
machine learning
convolutional neural network
clinical practice
big data