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Updated: Jun 9, 2025

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
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评估自然语言处理工具在标记胸部X-ray报告中的性能和偏差

Samantha M Santomartino1, John R Zech1, Kent Hall1

  • 1From Drexel University College of Medicine, Philadelphia, Pa (S.M.S.); Department of Radiology, Columbia University Irving Medical Center, New York, NY (J.R.Z.); Department of Radiology, Wake Forest University Health Sciences Center, Winston-Salem, NC (K.H.); Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Md (J.J., V.P.); and Department of Diagnostic Imaging, St. Jude Children's Research Hospital, 262 Danny Thomas Plc, Memphis, TN 38105-3678 (P.H.Y.).

Radiology
|October 22, 2024
PubMed
概括

放射学报告注释的自然语言处理 (NLP) 工具总体上是准确的,但显示出显著的人口偏差,特别是在老年患者中. 需要进一步的研究来提高人工智能的公平性.

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