IRCCS Humanitas Research Hospital, via Manzoni 56, Rozzano, Milan 20089, Italy; Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, Milan 20072, Italy.
Division of Head and Neck Surgery, Department of Otolaryngology, Stanford University, Palo Alto, CA, USA.
Otolaryngol Clin North Am. 2024 Oct;57(5):703-718. doi: 10.1016/j.otc.2024.05.005. Epub 2024 Jul 8.
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.
这篇文章讨论了计算机视觉在耳鼻喉科中的作用，特别是通过内窥镜和手术。它涵盖了人工智能（AI）在耳鼻喉科非放射性成像中的最新应用，指出了其改善诊断准确性和优化治疗效果等好处和挑战，同时也指出了需要加强数据管理和标准化研究方法来推进临床应用。本文还涵盖了技术方面，详细介绍了从手动特征提取到更复杂的 AI 模型（包括卷积神经网络和视觉转换器）的进展，以及它们在临床环境中的潜在应用。
