Artificial intelligence-assisted colonoscopy for colorectal lesion detection: a case-control study on diagnostic accuracy and histopathological agreement.
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| Title: | Artificial intelligence-assisted colonoscopy for colorectal lesion detection: a case-control study on diagnostic accuracy and histopathological agreement. |
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| Authors: | Facanali Junior MR; Universidade de São Paulo, Faculty of Medicine, Department of Gastroenterology, Colonoscopy Division - São Paulo (SP), Brazil., Sousa Junior AHDS; Universidade de São Paulo, Faculty of Medicine, Department of Gastroenterology, Colonoscopy Division - São Paulo (SP), Brazil., Marques CFS; Universidade de São Paulo, Faculty of Medicine, Department of Gastroenterology, Colonoscopy Division - São Paulo (SP), Brazil., Safatle-Ribeiro AV; Universidade de São Paulo, Faculty of Medicine, Department of Gastroenterology, Colonoscopy Division - São Paulo (SP), Brazil. |
| Source: | Arquivos brasileiros de cirurgia digestiva : ABCD = Brazilian archives of digestive surgery [Arq Bras Cir Dig] 2025 Sep 08; Vol. 38, pp. e1898. Date of Electronic Publication: 2025 Sep 08 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Colégio Brasileiro de Cirurgia Digestiva Country of Publication: Brazil NLM ID: 9100283 Publication Model: eCollection Cited Medium: Internet ISSN: 2317-6326 (Electronic) Linking ISSN: 01026720 NLM ISO Abbreviation: Arq Bras Cir Dig Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 2317-6326 |
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| DOI: | 10.1590/0102-67202025000029e1898 |
