远程医疗
计算机科学
人工智能
卷积神经网络
传输（电信）
计算机视觉
医学
电信
医疗保健
经济增长
经济
作者
Te‐Yung Fang,Tse‐Yu Lin,Chung‐Min Shen,Su‐Yi Hsu,Shing‐Huey Lin,Yu‐Jung Kuo,Ming‐Hsu Chen,Tan‐Kuei Yin,Chih‐Hsien Liu,Men‐Tzung Lo,Pa‐Chun Wang
摘要
The COVID-19 pandemic has spurred a growing demand for telemedicine. Artificial intelligence and image processing systems with wireless transmission functionalities can facilitate remote care for otitis media (OM). Accordingly, this study developed and validated an algorithm-driven tele-otoscope system equipped with Wi-Fi transmission and a cloud-based automatic OM diagnostic algorithm.
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