Keel, Stuart

Efficacy of a Deep Learning System for Detecting Glaucomatous Optic Neuropathy Based on Color Fundus Photographs

Li, Z., He, Y., Keel, S., Meng, W., Chang, R. T., & He, M. (2018) · Ophthalmology

Retinal Imaging and AnalysisGlaucoma and retinal disorders

Cited by 830

An Automated Grading System for Detection of Vision-Threatening Referable Diabetic Retinopathy on the Basis of Color Fundus Photographs

Li, Z., Keel, S., Liu, C., He, Y., Meng, W., Scheetz, J., Lee, P. Y., Shaw, J., Ting, D., Wong, T. Y., et al. (2018) · Diabetes Care

Retinal Imaging and AnalysisRetinal Diseases and Treatments

Cited by 255

Feasibility and patient acceptability of a novel artificial intelligence-based screening model for diabetic retinopathy at endocrinology outpatient services: a pilot study

Keel, S., Lee, P. Y., Scheetz, J., Li, Z., Kotowicz, M. A., MacIsaac, R. J., & He, M. (2018) · Scientific Reports

Retinal Imaging and AnalysisRetinal Diseases and Treatments

Cited by 220

Visualizing Deep Learning Models for the Detection of Referable Diabetic Retinopathy and Glaucoma

Keel, S., Wu, J., Lee, P. Y., Scheetz, J., & He, M. (2019) · JAMA Ophthalmology

Retinal Imaging and AnalysisOphthalmology and Visual Health Research

Cited by 114

Real-world artificial intelligence-based opportunistic screening for diabetic retinopathy in endocrinology and indigenous healthcare settings in Australia

Scheetz, J., Koca, D., McGuinness, M., Holloway, E., Tan, Z., Zhu, Z., O’Day, R., Sandhu, S., MacIsaac, R. J., Gilfillan, C., et al. (2021) · Scientific Reports

Retinal Imaging and AnalysisOphthalmology and Visual Health Research

Cited by 88

The Prevalence of Diabetic Retinopathy in Australian Adults with Self-Reported Diabetes

Keel, S., Xie, J., Foreman, J., van Wijngaarden, P., Taylor, H. R., & Dirani, M. (2017) · Ophthalmology

Retinal Diseases and TreatmentsRetinal Imaging and Analysis

Cited by 73

Predicting the Development of Type 2 Diabetes in a Large Australian Cohort Using Machine-Learning Techniques: Longitudinal Survey Study

Zhang, L., Shang, X., Sreedharan, S., Yan, X., Liu, J., Keel, S., Wu, J., Peng, W., & He, M. (2020) · JMIR Medical Informatics

Artificial Intelligence in HealthcareDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 40