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Accuracy of breast density assessment using artificial intelligence by convolutional neural network for carriers of UGT1A1 polymorphisms with Gilbert's Syndrome - a pilot study.

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Title: Accuracy of breast density assessment using artificial intelligence by convolutional neural network for carriers of UGT1A1 polymorphisms with Gilbert's Syndrome - a pilot study.
Authors: Maesaka JY; Discipline of Gynecology, Department of Obstetrics and Gynecology, Faculdade de Medicina, Universidade de São Paulo (FMUSP), São Paulo, SP, Brazil. Electronic address: jonathan.maesaka@hc.fm.usp.br., Mota BS; Discipline of Gynecology, Department of Obstetrics and Gynecology, Faculdade de Medicina, Universidade de São Paulo (FMUSP), São Paulo, SP, Brazil., Shimizu C; Department of Radiology, Faculdade de Medicina, Universidade de São Paulo (FMUSP), São Paulo, SP, Brazil., Rocha BA; Department of Radiology, Faculdade de Medicina, Universidade de São Paulo (FMUSP), São Paulo, SP, Brazil., Vianna LGR; Instituto de Matemática e Estatística, Universidade de São Paulo (USP), São Paulo, SP, Brazil., Cerri GG; Department of Radiology, Faculdade de Medicina, Universidade de São Paulo (FMUSP), São Paulo, SP, Brazil., Filassi JR; Discipline of Gynecology, Department of Obstetrics and Gynecology, Faculdade de Medicina, Universidade de São Paulo (FMUSP), São Paulo, SP, Brazil., Maciel GAR; Discipline of Gynecology, Department of Obstetrics and Gynecology, Faculdade de Medicina, Universidade de São Paulo (FMUSP), São Paulo, SP, Brazil., Soares-Jr JM; Discipline of Gynecology, Department of Obstetrics and Gynecology, Faculdade de Medicina, Universidade de São Paulo (FMUSP), São Paulo, SP, Brazil., Ono SK; Department of Gastroenterology, Faculdade de Medicina, Universidade de São Paulo (FMUSP), São Paulo, SP, Brazil., Baracat EC; Discipline of Gynecology, Department of Obstetrics and Gynecology, Faculdade de Medicina, Universidade de São Paulo (FMUSP), São Paulo, SP, Brazil.
Source: Clinics (Sao Paulo, Brazil) [Clinics (Sao Paulo)] 2026 Jul 09; Vol. 81, pp. 101038. Date of Electronic Publication: 2026 Jul 09.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 101244734 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1980-5322 (Electronic) Linking ISSN: 18075932 NLM ISO Abbreviation: Clinics (Sao Paulo) Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Accuracy of breast density assessment using artificial intelligence by convolutional neural network for carriers of UGT1A1 polymorphisms with Gilbert's Syndrome - a pilot study.
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  Data: <searchLink fieldCode="AU" term="%22Maesaka+JY%22">Maesaka JY</searchLink>; Discipline of Gynecology, Department of Obstetrics and Gynecology, Faculdade de Medicina, Universidade de São Paulo (FMUSP), São Paulo, SP, Brazil. Electronic address: jonathan.maesaka@hc.fm.usp.br.<br /><searchLink fieldCode="AU" term="%22Mota+BS%22">Mota BS</searchLink>; Discipline of Gynecology, Department of Obstetrics and Gynecology, Faculdade de Medicina, Universidade de São Paulo (FMUSP), São Paulo, SP, Brazil.<br /><searchLink fieldCode="AU" term="%22Shimizu+C%22">Shimizu C</searchLink>; Department of Radiology, Faculdade de Medicina, Universidade de São Paulo (FMUSP), São Paulo, SP, Brazil.<br /><searchLink fieldCode="AU" term="%22Rocha+BA%22">Rocha BA</searchLink>; Department of Radiology, Faculdade de Medicina, Universidade de São Paulo (FMUSP), São Paulo, SP, Brazil.<br /><searchLink fieldCode="AU" term="%22Vianna+LGR%22">Vianna LGR</searchLink>; Instituto de Matemática e Estatística, Universidade de São Paulo (USP), São Paulo, SP, Brazil.<br /><searchLink fieldCode="AU" term="%22Cerri+GG%22">Cerri GG</searchLink>; Department of Radiology, Faculdade de Medicina, Universidade de São Paulo (FMUSP), São Paulo, SP, Brazil.<br /><searchLink fieldCode="AU" term="%22Filassi+JR%22">Filassi JR</searchLink>; Discipline of Gynecology, Department of Obstetrics and Gynecology, Faculdade de Medicina, Universidade de São Paulo (FMUSP), São Paulo, SP, Brazil.<br /><searchLink fieldCode="AU" term="%22Maciel+GAR%22">Maciel GAR</searchLink>; Discipline of Gynecology, Department of Obstetrics and Gynecology, Faculdade de Medicina, Universidade de São Paulo (FMUSP), São Paulo, SP, Brazil.<br /><searchLink fieldCode="AU" term="%22Soares-Jr+JM%22">Soares-Jr JM</searchLink>; Discipline of Gynecology, Department of Obstetrics and Gynecology, Faculdade de Medicina, Universidade de São Paulo (FMUSP), São Paulo, SP, Brazil.<br /><searchLink fieldCode="AU" term="%22Ono+SK%22">Ono SK</searchLink>; Department of Gastroenterology, Faculdade de Medicina, Universidade de São Paulo (FMUSP), São Paulo, SP, Brazil.<br /><searchLink fieldCode="AU" term="%22Baracat+EC%22">Baracat EC</searchLink>; Discipline of Gynecology, Department of Obstetrics and Gynecology, Faculdade de Medicina, Universidade de São Paulo (FMUSP), São Paulo, SP, Brazil.
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  Data: <searchLink fieldCode="JN" term="%22101244734%22">Clinics (Sao Paulo, Brazil)</searchLink> [Clinics (Sao Paulo)] 2026 Jul 09; Vol. 81, pp. 101038. <i>Date of Electronic Publication: </i>2026 Jul 09.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101244734 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1980-5322 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2218075932%22">18075932 </searchLink><i>NLM ISO Abbreviation: </i>Clinics (Sao Paulo) <i>Subsets: </i>MEDLINE
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        Value: 10.1016/j.clinsp.2026.101038
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              Text: 2026 Jul 09
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