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首页> Clinical imaging> Diagnostic performance of an artificial intelligence model for the detection of pneumothorax at chest X-ray.

Diagnostic performance of an artificial intelligence model for the detection of pneumothorax at chest X-ray.

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作者： Caterina Beatrice,Monti ^[1] ; Lorenzo Maria Giuseppe,Bianchi ^[2] ; Francesco,Rizzetto ^[3] ; Luca Alessandro,Carbonaro ^[2] ; Angelo,Vanzulli ^[4]

作者单位： Postgraduation School of Diagnostic and Interventional Radiology, Università degli Studi di Milano, via Festa del Perdono 7, 20122 Milan, Italy. ^[1] Department of Radiology, ASST Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore 3, 20162 Milan, Italy. ^[2] Postgraduation School of Diagnostic and Interventional Radiology, Università degli Studi di Milano, via Festa del Perdono 7, 20122 Milan, Italy. Electronic address: francesco.rizzetto@unimi.it. ^[3] Department of Radiology, ASST Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore 3, 20162 Milan, Italy; Department of Oncology and Hemato-Oncology, Università degli Studi di Milano, via Festa del Perdono 7, 20122 Milan, Italy. ^[4]

关键词 Artificial intelligence Patient positioning Pneumothorax Radiography Thoracic Workload

主题词人类(Humans);气胸(Pneumothorax);人工智能(Artificial Intelligence);放射摄影术, 胸部(Radiography, Thoracic);女(雌)性(Female);男(雄)性(Male);回顾性研究(Retrospective Studies);敏感性与特异性(Sensitivity and Specificity);中年人(Middle Aged);成年人(Adult);老年人(Aged);体层摄影术, X线计算机(Tomography, X-Ray Computed);结果可重复性(Reproducibility of Results);青年人(Young Adult);放射摄影影像解释, 计算机辅助(Radiographic Image Interpretation, Computer-Assisted);老年人, 80以上(Aged, 80 and over)

DOI 10.1016/j.clinimag.2024.110355

PMID 39561625

发布时间 2024-12-06

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