匹兹堡大学和 UPMC 开发了一款人工智能智能手机应用程序，可以准确诊断儿童耳部感染，从而可能减少不必要的抗生素使用。 University of Pittsburgh and UPMC developed an AI smartphone app to accurately diagnose ear infections in children, potentially reducing unnecessary antibiotic use.
匹兹堡大学和 UPMC 开发的一款新的人工智能智能手机应用程序可以准确诊断儿童耳部感染，从而可能减少不必要的抗生素使用。 A new AI-powered smartphone app developed by the University of Pittsburgh and UPMC accurately diagnoses ear infections in children, potentially reducing unnecessary antibiotic use. 急性中耳炎 (AOM) 是一种常见的儿童感染，但如果没有广泛的培训，可能很难与其他耳部疾病区分开来。 Acute otitis media (AOM) is a common childhood infection, but can be difficult to differentiate from other ear conditions without extensive training. 该应用程序评估由连接到智能手机摄像头的耳镜捕获的耳膜短视频，使其成为一种简单而有效的解决方案，比训练有素的临床医生更准确。 The app assesses a short video of the eardrum, captured by an otoscope connected to a smartphone camera, making it a simple and effective solution that could be more accurate than trained clinicians.