国际肿瘤学杂志 ›› 2024, Vol. 51 ›› Issue (5): 303-307.doi: 10.3760/cma.j.cn371439-20240318-00051

• 综述 • 上一篇    下一篇

人工智能辅助电子喉镜检查在喉癌及喉癌前病变诊治中的研究进展

顾芳萌, 徐晨阳, 雷大鹏()   

  1. 山东大学齐鲁医院耳鼻咽喉科,国家卫生健康委员会耳鼻喉科学重点实验室,济南 250012
  • 收稿日期:2024-03-18 修回日期:2024-04-03 出版日期:2024-05-08 发布日期:2024-06-26
  • 通讯作者: 雷大鹏,Email:leidapeng@sdu.edu.cn
  • 基金资助:
    国家自然科学基金(82071918)

Research progress on artificial intelligence-assisted electronic laryngoscopy in the diagnosis and treatment of laryngeal cancer and laryngeal precancerous lesions

Gu Fangmeng, Xu Chenyang, Lei Dapeng()   

  1. Department of Otorhinolaryngology, Qilu Hospital of Shandong University, National Health Commission Key Laboratory of Otorhinolaryngology (Shandong University), Jinan 250012, China
  • Received:2024-03-18 Revised:2024-04-03 Online:2024-05-08 Published:2024-06-26
  • Contact: Lei Dapeng, Email:leidapeng@sdu.edu.cn
  • Supported by:
    National Natural Science Foundation of China(82071918)

摘要:

由于喉部重要的解剖位置和生理功能,喉部病变对患者的发音、生命质量甚至生存预后均有可能造成严重影响,对其早诊早治至关重要。电子喉镜是早期诊治喉癌及喉癌前病变最重要的辅助工具。近年来,人工智能技术的迅猛发展使其在喉镜检查领域的应用及研究日益增加,其在辅助诊断、质量控制和治疗后病情评估等方面展现出巨大的潜力和价值,未来有望成为内镜医师临床决策、早期诊治喉癌的得力助手。

关键词: 喉肿瘤, 癌前状态, 喉镜检查, 人工智能

Abstract:

Due to the significant anatomical location and physiological functions of the larynx, laryngeal lesions can severely impact patients' voice, quality of life, and even survival prognosis, making early diagnosis and treatment crucial. The electronic laryngoscope is the most important auxiliary tool for the early diagnosis and treatment of laryngeal cancer and precancerous lesions. In recent years, the rapid development of artificial intelligence technology has led to increasing applications and research in the field of laryngoscopy, demonstrating enormous potential and value in assisting diagnosis, quality control, and post-treatment evaluation of diseases. It is expected to become a powerful assistant for endoscopists in clinical decision-making and early diagnosis and treatment of laryngeal cancer in the future.

Key words: Laryngeal neoplasms, Precancerous conditions, Laryngoscopy, Artificial intelligence