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. |
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| 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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| ISSN: | 2168-8184 |
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| DOI: | 10.7759/cureus.92690 |
