Congdon, Nathan
Queen's University Belfast
14 papers on CoChatORCID 0000-0001-9866-3416
Most cited papers
- Verified
Global causes of blindness and distance vision impairment 1990–2020: a systematic review and meta-analysis
Flaxman, S. R., Bourne, R. R. A., Resnikoff, S., Ackland, P., Braithwaite, T., Cicinelli, M. V., Das, A., Jonas, J. B., Keeffe, J., Kempen, J. H., et al. (2017) · The Lancet Global Health
Ophthalmology and Visual Impairment StudiesGlaucoma and retinal disorders
Cited by 3,477
- Verified
Causes of blindness and vision impairment in 2020 and trends over 30 years, and prevalence of avoidable blindness in relation to VISION 2020: the Right to Sight: an analysis for the Global Burden of Disease Study
Steinmetz, J. D., Bourne, R. R. A., Briant, P. S., Flaxman, S. R., Taylor, H. R. B., Jonas, J. B., Abdoli, A. A., Abrha, W. A., Abualhasan, A., Abu-Gharbieh, E. G., et al. (2021) · The Lancet Global Health
Ophthalmology and Visual Impairment StudiesGlaucoma and retinal disorders
Cited by 3,189
- Verified
Magnitude, temporal trends, and projections of the global prevalence of blindness and distance and near vision impairment: a systematic review and meta-analysis
Bourne, R. R. A., Flaxman, S. R., Braithwaite, T., Cicinelli, M. V., Das, A., Jonas, J. B., Keeffe, J., Kempen, J. H., Leasher, J., Limburg, H., et al. (2017) · The Lancet Global Health
Ophthalmology and Visual Impairment StudiesGlaucoma and retinal disorders
Cited by 2,213
- Verified
The Lancet Global Health Commission on Global Eye Health: vision beyond 2020
Burton, M. J., Ramke, J., Marques, A. P., Bourne, R. R. A., Congdon, N., Jones, I., Ah Tong, B. A. M., Arunga, S., Bachani, D., Bascaran, C., et al. (2021) · The Lancet Global Health
Ophthalmology and Visual Impairment StudiesGlaucoma and retinal disorders
Cited by 1,624
- Verified
Potential Public Health Impact of Age-Related Eye Disease Study Results: AREDS Report No. 11
Bressler, N. M., Sb, B., Congdon, N. G., Ferris, F. L., Friedman, D. S., Klein, R., Lindblad, A. S., Milton, R. C., & Seddon, J. M. (2003) · Archives of Ophthalmology
Retinal Diseases and TreatmentsRetinal Imaging and Analysis
Cited by 374
- Verified
Effect of providing free glasses on children's educational outcomes in China: cluster randomized controlled trial
Ma, X., Zhou, Z., Yi, H., Pang, X., Shi, Y., Chen, Q., Meltzer, M. E., le Cessie, S., He, M., Rozelle, S., et al. (2014) · BMJ
Ophthalmology and Visual Impairment StudiesChild Nutrition and Water Access
Cited by 238
- Verified
Time trends, associations and prevalence of blindness and vision loss due to glaucoma: an analysis of observational data from the Global Burden of Disease Study 2017
Sun, Y., Chen, A., Zou, M., Zhang, Y., Jin, L., Li, Y., Zheng, D., Jin, G., & Congdon, N. (2022) · BMJ Open
Glaucoma and retinal disordersOphthalmology and Visual Impairment Studies
Cited by 163
- Verified
Autonomous artificial intelligence increases real-world specialist clinic productivity in a cluster-randomized trial
Abramoff, M. D., Whitestone, N., Patnaik, J. L., Rich, E., Ahmed, M., Husain, L., Hassan, M. Y., Tanjil, M. S. H., Weitzman, D., Dai, T., et al. (2023) · npj Digital Medicine
Artificial Intelligence in Healthcare and EducationRetinal Imaging and Analysis
Cited by 81
- Verified
Impact of Artificial Intelligence Assessment of Diabetic Retinopathy on Referral Service Uptake in a Low-Resource Setting
Mathenge, W., Whitestone, N., Nkurikiye, J., Patnaik, J. L., Piyasena, P., Uwaliraye, P., Lanouette, G., Kahook, M. Y., Cherwek, D. H., Congdon, N., et al. (2022) · Ophthalmology Science
Retinal Imaging and AnalysisRetinal Diseases and Treatments
Cited by 80
- Verified
A Peer-to-Peer Live-Streaming Intervention for Children During COVID-19 Homeschooling to Promote Physical Activity and Reduce Anxiety and Eye Strain: Cluster Randomized Controlled Trial
Zheng, Y., Wang, W., Zhong, Y., Wu, F., Zhu, Z., Tham, Y.-C., Lamoureux, E., Xiao, L., Zhu, E., Liu, H., et al. (2021) · Journal of Medical Internet Research
COVID-19 and Mental HealthPhysical Activity and Health
Cited by 73
- Verified
Artificial Intelligence in Community-Based Diabetic Retinopathy Telemedicine Screening in Urban China: Cost-effectiveness and Cost-Utility Analyses With Real-world Data
Lin, S., Ma, Y., Xu, Y., Lu, L., He, J., Zhu, J., Peng, Y., Yu, T., Congdon, N., & Zou, H. (2023) · JMIR Public Health and Surveillance
Health Systems, Economic Evaluations, Quality of LifeRetinal Imaging and Analysis
Cited by 52
- Verified
A Mobile Phone Informational Reminder to Improve Eye Care Adherence Among Diabetic Patients in Rural China: A Randomized Controlled Trial
Chen, T., Zhu, W., Tang, B., Jin, L., Fu, H., Chen, Y., Wang, C., Zhang, G., Wang, J., Ye, T., et al. (2018) · American Journal of Ophthalmology
Mobile Health and mHealth ApplicationsDiabetes Management and Education
Cited by 42
- Verified
Feasibility and acceptance of artificial intelligence-based diabetic retinopathy screening in Rwanda
Whitestone, N., Nkurikiye, J., Patnaik, J. L., Jaccard, N., Lanouette, G., Cherwek, D. H., Congdon, N., & Mathenge, W. (2024) · British Journal of Ophthalmology
Retinal Imaging and AnalysisRetinal Diseases and Treatments
Cited by 31
- Verified
Inclusion of diabetic retinopathy screening strategies in national-level diabetes care planning in low- and middle-income countries: a scoping review
Curran, K., Piyasena, P., Congdon, N., Duke, L., Malanda, B., & Peto, T. (2023) · Health Research Policy and Systems
Retinal Imaging and AnalysisOphthalmology and Visual Impairment Studies
Cited by 21
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