关键词: 阻塞性睡眠呼吸暂停, 多导睡眠监测, 深度学习, 颅面侧位片

Abstract:

Obstructive Sleep Apnea（OSA） is one of the most common respiratory diseases in adults. It is characterized by frequent upper airway collapse during sleep, which seriously affects people’s sleep quality and health. The diagnosis of obstructive sleep apnea syndrome mainly depends on polysomnography, but this method can not meet the current large number of diagnostic needs. With the emergence and development of artificial intelligence, it is assumed that deep learning can effectively assist doctors in the diagnosis of the syndrome. Starting from the clinical diagnosis of obstructive sleep apnea, this paper introduces the advantages of lateral radiographs of craniofacial region as a diagnostic data set, and the status quo of artificial intelligence in the diagnosis of OSA, puts forward the technical route of artificial intelligence in assisting physicians in the diagnosis of OSA, and analyzes the problems and challenges in the current diagnosis system.

Key words: Obstructive Sleep Apnea（OSA）, polysomnography, deep learning, lateral radiographs of craniofacial region