Your browser doesn't support javascript.
loading
Performance of an automated deep learning algorithm to identify hepatic steatosis within noncontrast computed tomography scans among people with and without HIV.
Torgersen, Jessie; Akers, Scott; Huo, Yuankai; Terry, James G; Carr, J Jeffrey; Ruutiainen, Alexander T; Skanderson, Melissa; Levin, Woody; Lim, Joseph K; Taddei, Tamar H; So-Armah, Kaku; Bhattacharya, Debika; Rentsch, Christopher T; Shen, Li; Carr, Rotonya; Shinohara, Russell T; McClain, Michele; Freiberg, Matthew; Justice, Amy C; Lo Re, Vincent.
Affiliation
  • Torgersen J; Department of Medicine, Penn Center for AIDS Research, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Akers S; Department of Biostatistics, Epidemiology, and Informatics, Center for Clinical Epidemiology and Biostatistics, Center for Real World Effectiveness and Safety of Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Huo Y; Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania, USA.
  • Terry JG; Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania, USA.
  • Carr JJ; Department of Computer Science, Vanderbilt University, Nashville, Tennessee, USA.
  • Ruutiainen AT; Department of Radiology and Radiological Sciences, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
  • Skanderson M; Department of Radiology and Radiological Sciences, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
  • Levin W; Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania, USA.
  • Lim JK; Department of Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
  • Taddei TH; VA Connecticut Healthcare System, West Haven, Connecticut, USA.
  • So-Armah K; Department of Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
  • Bhattacharya D; VA Connecticut Healthcare System, West Haven, Connecticut, USA.
  • Rentsch CT; Department of Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
  • Shen L; VA Connecticut Healthcare System, West Haven, Connecticut, USA.
  • Carr R; Department of Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
  • Shinohara RT; VA Connecticut Healthcare System, West Haven, Connecticut, USA.
  • McClain M; Department of Medicine, Boston University School of Medicine, Boston, Massachusetts, USA.
  • Freiberg M; VA Greater Los Angeles Healthcare System and David Geffen School of Medicine at UCLA, Los Angeles, California, USA.
  • Justice AC; Department of Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
  • Lo Re V; VA Connecticut Healthcare System, West Haven, Connecticut, USA.
Pharmacoepidemiol Drug Saf ; 32(10): 1121-1130, 2023 10.
Article in En | MEDLINE | ID: mdl-37276449
Subject(s)
Key words
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: HIV Infections / Fatty Liver / Deep Learning Type of study: Guideline / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Pharmacoepidemiol Drug Saf Journal subject: EPIDEMIOLOGIA / TERAPIA POR MEDICAMENTOS Year: 2023 Document type: Article Affiliation country:
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: HIV Infections / Fatty Liver / Deep Learning Type of study: Guideline / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Pharmacoepidemiol Drug Saf Journal subject: EPIDEMIOLOGIA / TERAPIA POR MEDICAMENTOS Year: 2023 Document type: Article Affiliation country: