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Author Correction: Prediction of oxygen requirement in patients with COVID-19 using a pre-trained chest radiograph xAI model: efficient development of auditable risk prediction models via a fine-tuning approach.
Chung, Joowon; Kim, Doyun; Choi, Jongmun; Yune, Sehyo; Song, Kyoung Doo; Kim, Seonkyoung; Chua, Michelle; Succi, Marc D; Conklin, John; Longo, Maria G Figueiro; Ackman, Jeanne B; Petranovic, Milena; Lev, Michael H; Do, Synho.
Afiliação
  • Chung J; Department of Radiology, Massachusetts General Brigham and Harvard Medical School, Boston, MA, USA.
  • Kim D; Department of Radiology, Massachusetts General Brigham and Harvard Medical School, Boston, MA, USA.
  • Choi J; Department of Radiology, Massachusetts General Brigham and Harvard Medical School, Boston, MA, USA.
  • Yune S; Department of Radiology, Massachusetts General Brigham and Harvard Medical School, Boston, MA, USA.
  • Song KD; Department of Radiology, Massachusetts General Brigham and Harvard Medical School, Boston, MA, USA.
  • Kim S; Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-Ro, Gangnam-Gu, Seoul, 06351, Republic of Korea.
  • Chua M; Department of Radiology, Massachusetts General Brigham and Harvard Medical School, Boston, MA, USA.
  • Succi MD; Department of Radiology, Massachusetts General Brigham and Harvard Medical School, Boston, MA, USA.
  • Conklin J; Department of Radiology, Massachusetts General Brigham and Harvard Medical School, Boston, MA, USA.
  • Longo MGF; Department of Radiology, Massachusetts General Brigham and Harvard Medical School, Boston, MA, USA.
  • Ackman JB; Department of Radiology, Massachusetts General Brigham and Harvard Medical School, Boston, MA, USA.
  • Petranovic M; Department of Radiology, Massachusetts General Brigham and Harvard Medical School, Boston, MA, USA.
  • Lev MH; Department of Radiology, Massachusetts General Brigham and Harvard Medical School, Boston, MA, USA.
  • Do S; Department of Radiology, Massachusetts General Brigham and Harvard Medical School, Boston, MA, USA.
Sci Rep ; 13(1): 4296, 2023 Mar 15.
Article em En | MEDLINE | ID: mdl-36922618

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sci Rep Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sci Rep Ano de publicação: 2023 Tipo de documento: Article