Joseph, Sanil

Diagnostic Accuracy of Artificial Intelligence-Based Automated Diabetic Retinopathy Screening in Real-World Settings: A Systematic Review and Meta-Analysis

JOSEPH, S., SELVARAJ, J., MANI, I., KUMARAGURUPARI, T., SHANG, X., MUDGIL, P., RAVILLA, T., & HE, M. (2024) · American Journal of Ophthalmology

Retinal Imaging and AnalysisRetinal Diseases and Treatments

Cited by 69

Population impact and cost-effectiveness of artificial intelligence-based diabetic retinopathy screening in people living with diabetes in Australia: a cost effectiveness analysis

Hu, W., Joseph, S., Li, R., Woods, E., Sun, J., Shen, M., Jan, C. L., Zhu, Z., He, M., & Zhang, L. (2024) · eClinicalMedicine

Retinal Imaging and AnalysisHealth Systems, Economic Evaluations, Quality of Life

Cited by 47

Effectiveness of Teleretinal Imaging–Based Hospital Referral Compared With Universal Referral in Identifying Diabetic Retinopathy: A Cluster Randomized Clinical Trial

Joseph, S., Kim, R., Ravindran, R. D., Fletcher, A. E., & Ravilla, T. D. (2019) · JAMA Ophthalmology

Retinal Imaging and AnalysisRetinal Diseases and Treatments

Cited by 34