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Incorporating algorithmic uncertainty into a clinical machine deep learning algorithm for urgent head CTs.
Yoon, Byung C; Pomerantz, Stuart R; Mercaldo, Nathaniel D; Goyal, Swati; L'Italien, Eric M; Lev, Michael H; Buch, Karen A; Buchbinder, Bradley R; Chen, John W; Conklin, John; Gupta, Rajiv; Hunter, George J; Kamalian, Shahmir C; Kelly, Hillary R; Rapalino, Otto; Rincon, Sandra P; Romero, Javier M; He, Julian; Schaefer, Pamela W; Do, Synho; González, Ramon Gilberto.
Afiliação
  • Yoon BC; Neuroradiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America.
  • Pomerantz SR; Neuroradiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America.
  • Mercaldo ND; Mass General Brigham Data Science Office, Boston, MA, United States of America.
  • Goyal S; Massachusetts General Hospital Institute for Technology Assessment, Boston, MA, United States of America.
  • L'Italien EM; Mass General Brigham Data Science Office, Boston, MA, United States of America.
  • Lev MH; Department of Radiology/ Information Systems, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America.
  • Buch KA; Mass General Brigham Data Science Office, Boston, MA, United States of America.
  • Buchbinder BR; Department of Radiology/ Information Systems, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America.
  • Chen JW; Emergency Radiology & Neuroradiology Divisions, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America.
  • Conklin J; Neuroradiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America.
  • Gupta R; Neuroradiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America.
  • Hunter GJ; Neuroradiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America.
  • Kamalian SC; Massachusetts General Hospital Center for Systems Biology (CSB), Boston, MA, United States of America.
  • Kelly HR; Emergency Radiology & Neuroradiology Divisions, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America.
  • Rapalino O; Neuroradiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America.
  • Rincon SP; Massachusetts General Hospital Consortia for Integration of Medicine and Innovative Technologies (CIMIT), Boston, MA, United States of America.
  • Romero JM; Massachusetts General Hospital CT Innovation and Advanced X-ray Imaging Science (AXIS) Center, Boston, MA, United States of America.
  • He J; Neuroradiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America.
  • Schaefer PW; Emergency Radiology & Neuroradiology Divisions, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America.
  • Do S; Neuroradiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America.
  • González RG; Department of Radiology, Massachusetts Eye and Ear Institute, Harvard Medical School, Boston, MA, United States of America.
PLoS One ; 18(3): e0281900, 2023.
Article em En | MEDLINE | ID: mdl-36913348
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos