Selected article for: "AI model and thoracic radiology fellow"
Author: Xueyan Mei; Hao-Chih Lee; Kaiyue Diao; Mingqian Huang; Bin Lin; Chenyu Liu; Zongyu Xie; Yixuan Ma; Philip M. Robson; Michael Chung; Adam Bernheim; Venkatesh Mani; Claudia Calcagno; Kunwei Li; Shaolin Li; Hong Shan; Jian Lv; Tongtong Zhao; Junli Xia; Qihua Long; Sharon Steinberger; Adam Jacobi; Timothy Deyer; Marta Luksza; Fang Liu; Brent P. Little; Zahi A. Fayad; Yang Yang
Title: Artificial intelligence for rapid identification of the coronavirus disease 2019 (COVID-19)
  • Document date: 2020_4_17
    • ID: 79tozwzq_87
    Snippet: The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.04. 12.20062661 doi: medRxiv preprint model achieved an AUC score of 0.86. The MLP model achieved an AUC score of 0.80. The senior thoracic radiologist achieved an AUC score of 0.84. The thoracic radiology fellow achieved an AUC score of 0.73. d, Sensitivity comparisons between the AI model and human readers. e, Specificity comparisons betwe.....
    Document: The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.04. 12.20062661 doi: medRxiv preprint model achieved an AUC score of 0.86. The MLP model achieved an AUC score of 0.80. The senior thoracic radiologist achieved an AUC score of 0.84. The thoracic radiology fellow achieved an AUC score of 0.73. d, Sensitivity comparisons between the AI model and human readers. e, Specificity comparisons between the AI model and human readers.

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