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Evaluation of an Artificial Intelligence Model for Detection of Pneumothorax and Tension Pneumothorax in Chest Radiographs.
Hillis, James M; Bizzo, Bernardo C; Mercaldo, Sarah; Chin, John K; Newbury-Chaet, Isabella; Digumarthy, Subba R; Gilman, Matthew D; Muse, Victorine V; Bottrell, Georgie; Seah, Jarrel C Y; Jones, Catherine M; Kalra, Mannudeep K; Dreyer, Keith J.
Affiliation
  • Hillis JM; Data Science Office, Mass General Brigham, Boston, Massachusetts.
  • Bizzo BC; Department of Neurology, Massachusetts General Hospital, Boston.
  • Mercaldo S; Harvard Medical School, Boston, Massachusetts.
  • Chin JK; Data Science Office, Mass General Brigham, Boston, Massachusetts.
  • Newbury-Chaet I; Harvard Medical School, Boston, Massachusetts.
  • Digumarthy SR; Department of Radiology, Massachusetts General Hospital, Boston.
  • Gilman MD; Data Science Office, Mass General Brigham, Boston, Massachusetts.
  • Muse VV; Harvard Medical School, Boston, Massachusetts.
  • Bottrell G; Department of Radiology, Massachusetts General Hospital, Boston.
  • Seah JCY; Data Science Office, Mass General Brigham, Boston, Massachusetts.
  • Jones CM; Data Science Office, Mass General Brigham, Boston, Massachusetts.
  • Kalra MK; Harvard Medical School, Boston, Massachusetts.
  • Dreyer KJ; Department of Radiology, Massachusetts General Hospital, Boston.
JAMA Netw Open ; 5(12): e2247172, 2022 12 01.
Article in En | MEDLINE | ID: mdl-36520432
Subject(s)
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Full text: 1 Database: MEDLINE Main subject: Pneumothorax / Deep Learning Type of study: Diagnostic_studies / Guideline / Observational_studies / Prognostic_studies / Screening_studies Limits: Adolescent / Adult / Female / Humans / Male / Middle aged Language: En Journal: JAMA Netw Open Year: 2022 Type: Article
Fulltext
Add to My VHL
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XML
PubMed Links
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Full text: 1 Database: MEDLINE Main subject: Pneumothorax / Deep Learning Type of study: Diagnostic_studies / Guideline / Observational_studies / Prognostic_studies / Screening_studies Limits: Adolescent / Adult / Female / Humans / Male / Middle aged Language: En Journal: JAMA Netw Open Year: 2022 Type: Article