An artificial intelligence algorithm for the classification of sphenoid sinus pneumatisation on sinus computed tomography scans.
Alon TaylorAl-Rahim HabibAshnil KumarEugene H WongZubair HasanNarinder SinghPublished in: Clinical otolaryngology : official journal of ENT-UK ; official journal of Netherlands Society for Oto-Rhino-Laryngology & Cervico-Facial Surgery (2023)
The CNN described demonstrated a moderately accurate classification of sphenoid pneumatisation subtypes on CT scans. The use of CNN-based assistive tools may enable surgeons to achieve safer operative planning through routine automated reporting allowing greater resources to be directed towards the identification of pathology.
Keyphrases
- artificial intelligence
- deep learning
- computed tomography
- convolutional neural network
- machine learning
- dual energy
- positron emission tomography
- contrast enhanced
- big data
- image quality
- magnetic resonance imaging
- quality improvement
- clinical practice
- high resolution
- magnetic resonance
- emergency department
- thoracic surgery
- drug induced