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Artificial intelligence in uveitis: A comprehensive review.
Nakayama, Luis F; Ribeiro, Lucas Z; Dychiao, Robyn G; Zamora, Yuslay F; Regatieri, Caio V S; Celi, Leo A; Silva, Paolo; Sobrin, Lucia; Belfort, Rubens.
Affiliation
  • Nakayama LF; Department of Ophthalmology, São Paulo Federal University, São Paulo, SP, Brazil; Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA. Electronic address: luisnaka@mit.edu.
  • Ribeiro LZ; Department of Ophthalmology, São Paulo Federal University, São Paulo, SP, Brazil.
  • Dychiao RG; University of the Philippines College of Medicine, Manila, Philippines.
  • Zamora YF; Department of Ophthalmology, São Paulo Federal University, São Paulo, SP, Brazil.
  • Regatieri CVS; Department of Ophthalmology, São Paulo Federal University, São Paulo, SP, Brazil.
  • Celi LA; Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA, USA; Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.
  • Silva P; Joslin Diabetes Center, Harvard Medical School, Beetham Eye Institute, Boston, MA, USA; Philippine Eye Research Institute, University of the Philippines, Manila, Philippines.
  • Sobrin L; Philippine Eye Research Institute, University of the Philippines, Manila, Philippines; Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, MA.
  • Belfort R; Department of Ophthalmology, São Paulo Federal University, São Paulo, SP, Brazil; Vision Institute, Instituto Paulista de Estudos e Pesquisas em Oftalmologia (IPEPO), São Paulo, SP, Brazil.
Surv Ophthalmol ; 68(4): 669-677, 2023.
Article in En | MEDLINE | ID: mdl-36878360
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Uveitis / Artificial Intelligence Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Surv Ophthalmol Year: 2023 Document type: Article Country of publication: Estados Unidos
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Uveitis / Artificial Intelligence Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Surv Ophthalmol Year: 2023 Document type: Article Country of publication: Estados Unidos