Risk Factors for Nondiagnostic Imaging in a Real-World Deployment of Artificial Intelligence Diabetic Retinal Examinations in an Integrated Healthcare System: Maximizing Workflow Efficiency Through Predictive Dilation.

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作者： Benjamin L,Shou ^[1] ; Kesavan,Venkatesh ^[2] ; Chang,Chen ^[3] ; Ronel,Ghidey ^[3] ; Jae Hyoung,Lee ^[3] ; Jiangxia,Wang ^[3] ; Roomasa,Channa ^[4] ; Risa M,Wolf ^[5] ; Michael D,Abramoff ^[6] ; T Y Alvin,Liu ^[7]

作者单位： School of Medicine, The Johns Hopkins University, Baltimore, MD, USA. ^[1] Whiting School of Engineering, The Johns Hopkins University, Baltimore, MD, USA. ^[2] Bloomberg School of Public Health, The Johns Hopkins University, Baltimore, MD, USA. ^[3] Department of Ophthalmology and Visual Sciences, University of Wisconsin-Madison, Madison, WI, USA. ^[4] Department of Pediatrics, Division of Pediatric Endocrinology, The Johns Hopkins University, Baltimore, MD, USA. ^[5] Department of Ophthalmology and Visual Sciences, The University of Iowa, Iowa City, IA, USA. ^[6] Wilmer Eye Institute, The Johns Hopkins University, Baltimore, MD, USA. ^[7]

关键词 artificial intelligence clinical decision support deep learning diabetic retinal disease implementation science machine learning nondiagnostic examination pupillary dilation