Song Qi, Li Xiaoming
Department of Otolaryngology Head and Neck Surgery,the 980th Hospital of the Joint Logistics Support Unit of the Chinese PLA,Shijiazhuang,050082,China.
Lin Chuang Er Bi Yan Hou Tou Jing Wai Ke Za Zhi. 2022 Aug;36(8):647-650. doi: 10.13201/j.issn.2096-7993.2022.08.017.
In the diagnosis and treatment of throat disease, the application and development of combining voice analysis or endoscopic technology with artificial intelligence has developed rapidly. This paper reviews the history and principles of the combination of voice analysis or endoscopic technology with artificial intelligence, summarizes its status of application and development, and sums up its advantages that lie in the strong learning and interpretation ability, amazing speed and tolerance, and stable replication and expansion. The key to restrict its development is the uncertainty in the process of machine learning, the error caused by small samples, and the ethical philosophical thinking. Future development direction should be that the surgeons in otolaryngology head and neck department on the basis of excellent professional knowledge, learn related knowledge of epidemiology, classic statistics, strengthen the exchanges and cooperation with machine learning developers. Eventually, advanced science and technology can be truly used in clinical practice to maximize the benefit of the majority of patients.
在咽喉疾病的诊断与治疗中,语音分析或内镜技术与人工智能相结合的应用与发展迅速。本文回顾了语音分析或内镜技术与人工智能相结合的历史与原理,总结了其应用与发展现状,并归纳了其优势,即强大的学习与解读能力、惊人的速度与耐受性以及稳定的复制与扩展能力。限制其发展的关键在于机器学习过程中的不确定性、小样本导致的误差以及伦理哲学思考。未来的发展方向应该是耳鼻咽喉头颈外科医生在具备优秀专业知识的基础上,学习流行病学、经典统计学等相关知识,加强与机器学习开发者的交流与合作。最终,先进科技能够真正应用于临床实践,使广大患者受益最大化。