标准化
医学
耳鼻咽喉科
激励
工作(物理)
医学教育
医疗保健
缩略语
知识管理
计算机科学
工程类
机械工程
语言学
哲学
精神科
经济
微观经济学
经济增长
操作系统
作者
Emily Evangelista,Yaël Bensoussan
标识
DOI:10.1016/j.otc.2024.04.005
摘要
The study delves into the crucial role of standardization, collaboration, and education in the integration of artificial intelligence (AI) in otolaryngology. It emphasizes the necessity of large, diverse datasets for effective AI implementation in health care, particularly in otolaryngology, due to its reliance on medical imagery and diverse instruments. The text identifies current barriers, including siloed work in academia and sparse academic–industrial partnerships, while proposing solutions like forming interdisciplinary teams and aligning incentives. Moreover, it discusses the importance of standardizing AI projects through system reporting and advocates for AI education and literacy among otolaryngology practitioners.
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