Your browser doesn't support javascript.
loading
Monitoring Glaucomatous Functional Loss Using an Artificial Intelligence-Enabled Dashboard.
Yousefi, Siamak; Elze, Tobias; Pasquale, Louis R; Saeedi, Osamah; Wang, Mengyu; Shen, Lucy Q; Wellik, Sarah R; De Moraes, Carlos G; Myers, Jonathan S; Boland, Michael V.
Affiliation
  • Yousefi S; Department of Ophthalmology, University of Tennessee Health Science Center, Memphis, Tennessee; Department of Genetics, Genomics, and Informatics, University of Tennessee Health Science Center, Memphis, Tennessee. Electronic address: siamak.yousefi@uthsc.edu.
  • Elze T; Schepens Eye Research Institute, Harvard Medical School, Boston, Massachusetts.
  • Pasquale LR; Department of Ophthalmology, Eye and Vision Research Institute, Icahn School of Medicine at Mount Sinai, New York, New York.
  • Saeedi O; Department of Ophthalmology and Visual Sciences, University of Maryland, Baltimore, Maryland.
  • Wang M; Schepens Eye Research Institute, Harvard Medical School, Boston, Massachusetts.
  • Shen LQ; Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, Massachusetts.
  • Wellik SR; Bascom Palmer Eye Institute, University of Miami School of Medicine, Miami, Florida.
  • De Moraes CG; Edward S. Harkness Eye Institute, Columbia University, New York, New York.
  • Myers JS; Wills Eye Hospital, Thomas Jefferson University, Philadelphia, Pennsylvania.
  • Boland MV; Wilmer Eye Institute and Division of Health Sciences Informatics, Johns Hopkins University, Baltimore, Maryland.
Ophthalmology ; 127(9): 1170-1178, 2020 09.
Article in En | MEDLINE | ID: mdl-32317176

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Vision Disorders / Artificial Intelligence / Visual Fields / Optic Nerve Diseases / Glaucoma / Monitoring, Physiologic Type of study: Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: En Journal: Ophthalmology Year: 2020 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Vision Disorders / Artificial Intelligence / Visual Fields / Optic Nerve Diseases / Glaucoma / Monitoring, Physiologic Type of study: Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: En Journal: Ophthalmology Year: 2020 Document type: Article