Computer Vision and Videomics in Otolaryngology-Head and Neck Surgery: Bridging the Gap Between Clinical Needs and the Promise of Artificial Intelligence.

Journal: Otolaryngologic clinics of North America
Published Date: Jul 8, 2024

Abstract

This article discusses the role of computer vision in otolaryngology, particularly through endoscopy and surgery. It covers recent applications of artificial intelligence (AI) in nonradiologic imaging within otolaryngology, noting the benefits and challenges, such as improving diagnostic accuracy and optimizing therapeutic outcomes, while also pointing out the necessity for enhanced data curation and standardized research methodologies to advance clinical applications. Technical aspects are also covered, providing a detailed view of the progression from manual feature extraction to more complex AI models, including convolutional neural networks and vision transformers and their potential application in clinical settings.

Authors

  • Alberto Paderno
    Unit of Otorhinolaryngology - Head and Neck Surgery, ASST Spedali Civili of Brescia, Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia, Italy.
  • Nikita Bedi
    Division of Head and Neck Surgery, Department of Otolaryngology, Stanford University, 875 Blake Wilbur Drive, Stanford, CA, 94305, USA.
  • Anita Rau
    Department of Biomedical Data Science, Stanford University, Palo Alto, CA, USA.
  • Christopher Floyd Holsinger
    Division of Head and Neck Surgery, Department of Otolaryngology, Stanford University, Palo Alto, CA, USA.

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