Abstract：
Clinical applications of artificial intelligence (AI) have grown exponentially with increasing computational power and Big Data. Data rich fields such as Otology and Neurotology are still in the infancy of harnessing the power of AI but are increasingly involved in training and developing ways to incorporate AI into patient care. Current studies involving AI are focused on accessible datasets; health care wearables, tabular data from electronic medical records, electrophysiologic measurements, imaging, and \"omics\" provide huge amounts of data to utilize. Health care wearables, such as hearing aids and cochlear implants, are a ripe environment for AI implementation.
摘要：
随着计算能力和大数据的增加，人工智能（AI）的临床应用呈指数级增长。诸如耳科学和神经科学等数据丰富的领域仍处于利用AI力量的起步阶段，但越来越多地参与培训和开发将AI纳入患者护理的方法。当前涉及人工智能的研究集中在可访问的数据集；医疗保健可穿戴设备，电子病历中的表格数据，电生理测量，成像,和“组学”提供了大量的数据来利用。医疗保健可穿戴设备，比如助听器和人工耳蜗,是人工智能实施的成熟环境。
