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

Journal: 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
PMID: 38197934

Abstract

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 ease the clinical burden in the radiological workflow for paranasal sinus diseases.

Authors

  • Ryan Chin Taw Cheong
    Otolaryngology-Head and Neck Surgery Department, The Royal Marsden NHS Foundation Trust, London, SW3 6JJ, UK. ryan.cheong@nhs.net.
  • Susan Jawad
    Royal National ENT and Eastman Dental Hospitals, University College London Hospitals NHS, London, UK.
  • Ashok Adams
    Barts Health NHS Trust, London, UK.
  • Thomas Campion
    Barts Health NHS Trust, London, UK.
  • Zhe Hong Lim
    University College London, London, UK.
  • Nikolaos Papachristou
    Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, United Kingdom.
  • Samit Unadkat
    Otolaryngology-Head and Neck Surgery Department, The Royal National ENT and Eastman Dental Hospitals, University College London Hospitals NHS Foundation Trust, London, UK.
  • Premjit Randhawa
    Otolaryngology-Head and Neck Surgery Department, The Royal National ENT and Eastman Dental Hospitals, University College London Hospitals NHS Foundation Trust, London, UK.
  • Jonathan Joseph
    Otolaryngology-Head and Neck Surgery Department, The Royal National ENT and Eastman Dental Hospitals, University College London Hospitals NHS Foundation Trust, London, UK.
  • Peter Andrews
    Otolaryngology-Head and Neck Surgery Department, The Royal National ENT and Eastman Dental Hospitals, University College London Hospitals NHS Foundation Trust, London, UK.
  • Paul Taylor
    London, United Kingdom.
  • Holger Kunz
    Institute of Health Informatics, University College London, London, UK.

Keywords

External Resources

Popular Topics
Recent Journals