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Weijie Fan1, Yi Yang2, Jing Qi2

  • 1Department of Radiology, Second Affiliated Hospital, Army Medical University, Chongqing, 400037, P. R. China.

Nature communications
|February 14, 2024
PubMed
概括

一个新的深度学习框架准确地识别和定位14个胸部X射线异常,并计算心胸比率. 这种人工智能工具超过了高级放射科医生,提供了出色的临床适用性.