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Updated: Jun 16, 2025

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使用人工智能识别普通的胸部X射线图,用于自动报告

Louis Lind Plesner1, Felix C Müller1, Mathias W Brejnebøl1

  • 1From the Department of Radiology, Herlev and Gentofte Hospital, Borgmester Ib, Juuls vej 1 Herlev, Copenhagen 2730, Denmark (L.L.P., F.C.M., M.W.B., C.H.K., L.C.L., M.B.A.); Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark (L.L.P., M.W.B., C.H.K., M.B., M.B.A.); Radiological Artificial Intelligence Testcenter, RAIT.dk, Herlev, Denmark (L.L.P., F.C.M., M.W.B., C.H.K., M.B., M.B.A.); Department of Radiology, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark (M.W.B., M.B.); Department of Radiology, Aarhus University Hospital, Aarhus, Denmark (F.R.); and Department of Cardiology, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark (O.W.N.).

Radiology
|August 20, 2024
PubMed
概括

人工智能 (AI) 可以正确排除在不显著的胸部X射线图中的病理,其特异性为24.5%-52.7%,灵敏度为98%. 与高灵敏度的放射学报告相比,这种AI工具显示了同等或更低的临界失误率.

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