Department of Otolaryngology-Head & Neck Surgery, Stanford University School of Medicine, Stanford, CA, USA.
Department of Otolaryngology-Head & Neck Surgery, Stanford University School of Medicine, Stanford, CA, USA.
Otolaryngol Clin North Am. 2024 Oct;57(5):853-862. doi: 10.1016/j.otc.2024.04.011. Epub 2024 Jul 20.
Artificial intelligence (AI) studies show how to program computers to simulate human intelligence and perform data interpretation, learning, and adaptive decision-making. Within pediatric otolaryngology, there is a growing body of evidence for the role of AI in diagnosis and triaging of acute otitis media and middle ear effusion, pediatric sleep disorders, and syndromic craniofacial anomalies. The use of automated machine learning with robotic devices intraoperatively is an evolving field of study, particularly in the realms of pediatric otologic surgery and computer-aided planning for maxillofacial reconstruction, and we will likely continue seeing novel applications of machine learning in otolaryngologic surgery.
人工智能 (AI) 研究展示了如何对计算机进行编程，以模拟人类智能并执行数据解释、学习和自适应决策。在儿科耳鼻喉科学中，越来越多的证据表明人工智能在急性中耳炎和中耳积液、小儿睡眠障碍和综合征性颅面畸形的诊断和分诊中发挥作用。使用带有机器人设备的自动化机器学习是一个正在不断发展的研究领域，特别是在小儿耳科学手术和计算机辅助的颌面重建规划领域，我们可能会继续看到机器学习在耳鼻喉科手术中的新应用。
