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Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams.
Shen, Yiqiu; Shamout, Farah E; Oliver, Jamie R; Witowski, Jan; Kannan, Kawshik; Park, Jungkyu; Wu, Nan; Huddleston, Connor; Wolfson, Stacey; Millet, Alexandra; Ehrenpreis, Robin; Awal, Divya; Tyma, Cathy; Samreen, Naziya; Gao, Yiming; Chhor, Chloe; Gandhi, Stacey; Lee, Cindy; Kumari-Subaiya, Sheila; Leonard, Cindy; Mohammed, Reyhan; Moczulski, Christopher; Altabet, Jaime; Babb, James; Lewin, Alana; Reig, Beatriu; Moy, Linda; Heacock, Laura; Geras, Krzysztof J.
Afiliação
  • Shen Y; Center for Data Science, New York University, New York, NY, USA.
  • Shamout FE; Engineering Division, NYU Abu Dhabi, Abu Dhabi, UAE.
  • Oliver JR; Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA.
  • Witowski J; Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA.
  • Kannan K; Department of Computer Science, Courant Institute, New York University, New York, NY, USA.
  • Park J; Vilcek Institute of Graduate Biomedical Sciences, NYU Grossman School of Medicine, New York, NY, USA.
  • Wu N; Center for Data Science, New York University, New York, NY, USA.
  • Huddleston C; Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA.
  • Wolfson S; Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA.
  • Millet A; Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA.
  • Ehrenpreis R; Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA.
  • Awal D; Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA.
  • Tyma C; Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA.
  • Samreen N; Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA.
  • Gao Y; Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA.
  • Chhor C; Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA.
  • Gandhi S; Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA.
  • Lee C; Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA.
  • Kumari-Subaiya S; Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA.
  • Leonard C; Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA.
  • Mohammed R; Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA.
  • Moczulski C; Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA.
  • Altabet J; Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA.
  • Babb J; Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA.
  • Lewin A; Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA.
  • Reig B; Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA.
  • Moy L; Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA.
  • Heacock L; Vilcek Institute of Graduate Biomedical Sciences, NYU Grossman School of Medicine, New York, NY, USA.
  • Geras KJ; Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA.
Nat Commun ; 12(1): 5645, 2021 09 24.
Article em En | MEDLINE | ID: mdl-34561440
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Algoritmos / Mama / Neoplasias da Mama / Inteligência Artificial / Ultrassonografia / Detecção Precoce de Câncer Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Screening_studies Limite: Adult / Aged / Female / Humans / Middle aged Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
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PubMed Links
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Algoritmos / Mama / Neoplasias da Mama / Inteligência Artificial / Ultrassonografia / Detecção Precoce de Câncer Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Screening_studies Limite: Adult / Aged / Female / Humans / Middle aged Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos