Enhancing paranasal sinus disease detection with AutoML: efficient AI development and evaluation via magnetic resonance imaging

• Published in: European archives of oto-rhino-laryngology Vol. 281; no. 4; pp. 2153 - 2158
• Main Authors: Cheong, Ryan Chin Taw, Jawad, Susan, Adams, Ashok, Campion, Thomas, Lim, Zhe Hong, Papachristou, Nikolaos, Unadkat, Samit, Randhawa, Premjit, Joseph, Jonathan, Andrews, Peter, Taylor, Paul, Kunz, Holger
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.04.2024
• Subjects: Head and Neck Surgery; Medicine; Medicine & Public Health; Miscellaneous; Neurosurgery; Otorhinolaryngology; Automated machine learning; Paranasal sinus disease; AutoML; MRI; Artificial intelligence

Purpose Artificial intelligence (AI) in the form of automated machine learning (AutoML) offers a new potential breakthrough to overcome the barrier of entry for non-technically trained physicians. A Clinical Decision Support System (CDSS) for screening purposes using AutoML could be beneficial to ea...