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Evaluating the Diagnostic Accuracy of an Artificial Intelligence Tool for Pulmonary Abnormalities in Chest Radiographs: A Retrospective Study.

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Title: Evaluating the Diagnostic Accuracy of an Artificial Intelligence Tool for Pulmonary Abnormalities in Chest Radiographs: A Retrospective Study.
Authors: Gobira M; Ophthalmology, Vision Institute (IPEPO), São Paulo, BRA., Moreira do Amaral MD; Ophthalmology, Hospital do Servidor Público Estadual de São Paulo, São Paulo, BRA., Landi Júnior O; Radiology, Fundação Instituto de Pesquisa e Estudo de Diagnóstico por Imagem, São Paulo, BRA., Mattar G; Radiology, Hospital do Servidor Público Estadual de São Paulo, São Paulo, BRA., Itiro Takano M; Radiology, Hospital do Servidor Público Estadual de São Paulo, São Paulo, BRA., De Andrade EP; Ophthalmology, Universidade Federal de São Paulo, São Paulo, BRA.
Source: Cureus [Cureus] 2025 Sep 19; Vol. 17 (9), pp. e92690. Date of Electronic Publication: 2025 Sep 19 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Cureus, Inc Country of Publication: United States NLM ID: 101596737 Publication Model: eCollection Cited Medium: Print ISSN: 2168-8184 (Print) Linking ISSN: 21688184 NLM ISO Abbreviation: Cureus Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Evaluating the Diagnostic Accuracy of an Artificial Intelligence Tool for Pulmonary Abnormalities in Chest Radiographs: A Retrospective Study.
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  Data: <searchLink fieldCode="JN" term="%22101596737%22">Cureus</searchLink> [Cureus] 2025 Sep 19; Vol. 17 (9), pp. e92690. <i>Date of Electronic Publication: </i>2025 Sep 19 (<i>Print Publication: </i>2025).
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