Our research demonstrates that convolutional neural networks can significantly enhance the precision of nasal endoscopy interpretation. Achieving an average accuracy of 91.5% in localizing essential ...

A team of researchers from Ochsner Health have published an article in the International Forum of Allergy & Rhinology exploring the application of convolutional neural networks (CNNs) to improve the ...

In the last decade, endoscopic sinus surgery has evolved from basic functional approaches to highly refined techniques that aim to restore sinonasal ventilation, preserve mucosal function and minimise ...

This study shows a differentiated approach to simulate the nasal endoscopy exam procedure in a virtual system using advanced graphic rendering. Furthermore, it provides a realistic environment for the ...