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Comparative performance of PD-L1 scoring by pathologists and AI algorithms.

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第一作者： Markus,Plass

第一单位： Diagnostic and Research Institute of Pathology, Medical University of Graz, Graz, Austria.

作者： Markus,Plass ^[1] ; Gheorghe-Emilian,Olteanu ^[2] ; Sanja,Dacic ^[3] ; Izidor,Kern ^[4] ; Martin,Zacharias ^[1] ; Helmut,Popper ^[1] ; Junya,Fukuoka ^[5] ; Sosuke,Ishijima ^[5] ; Michaela,Kargl ^[1] ; Christoph,Murauer ^[1] ; Lipika,Kalson ^[1] ; Luka,Brcic ^[1]

作者单位： Diagnostic and Research Institute of Pathology, Medical University of Graz, Graz, Austria. ^[1] Department of Pathology, British Columbia Cancer Agency, Vancouver, BC, Canada.;Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada. ^[2] University of Pittsburgh Medical Center, Pittsburgh, PA, USA. ^[3] Cytology and Pathology Laboratory, University Clinic of Respiratory and Allergic Diseases, Golnik, Slovenia. ^[4] Department of Pathology Informatics, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.;Department of Pathology, Kameda Medical Center, Kamogawa, Japan. ^[5]

关键词 AI algorithms NSCLC PD‐L1 expression pathologists tumour proportion score (TPS)

医学主题词人类(Humans);癌, 非小细胞肺(Carcinoma, Non-Small-Cell Lung);肺肿瘤(Lung Neoplasms);算法(Algorithms);人工智能(Artificial Intelligence);观察者偏差(Observer Variation);免疫组织化学(Immunohistochemistry)

DOI 10.1111/his.15432

PMID 39961605

发布时间 2025-06-03

基金项目

::Austrian Science Fund:: ::European Commission::

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