Ruamviboonsuk, Paisan

Guidelines on Diabetic Eye Care

Wong, T. Y., Sun, J., Kawasaki, R., Ruamviboonsuk, P., Gupta, N., Lansingh, V. C., Maia, M., Mathenge, W., Moreker, S., Muqit, M. M. K., et al. (2018) · Ophthalmology

Retinal Diseases and TreatmentsRetinal Imaging and Analysis

Cited by 839

A Human-Centered Evaluation of a Deep Learning System Deployed in Clinics for the Detection of Diabetic Retinopathy

Beede, E., Baylor, E., Hersch, F., Iurchenko, A., Wilcox, L., Ruamviboonsuk, P., & Vardoulakis, L. M. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Artificial Intelligence in Healthcare and EducationRetinal Imaging and Analysis

Cited by 614

EVEREST STUDY: Efficacy and Safety of Verteporfin Photodynamic Therapy in Combination with Ranibizumab or Alone Versus Ranibizumab Monotherapy in Patients with Symptomatic Macular Polypoidal Choroidal Vasculopathy

Koh, A., Lee, W. K., Chen, L.-J., Chen, S.-J., Hashad, Y., Kim, H., Lai, T. Y., Pilz, S., Ruamviboonsuk, P., Tokaji, E., et al. (2012) · Retina

Retinal Diseases and TreatmentsOcular Diseases and Behçet’s Syndrome

Cited by 587

Artificial intelligence for diabetic retinopathy screening: a review

Grzybowski, A., Brona, P., Lim, G., Ruamviboonsuk, P., Tan, G. S. W., Abramoff, M., & Ting, D. S. W. (2020) · Eye

Retinal Imaging and AnalysisRetinal Diseases and Treatments

Cited by 376

POLYPOIDAL CHOROIDAL VASCULOPATHY: Evidence-Based Guidelines for Clinical Diagnosis and Treatment

Koh, A. H. C., Chen, L.-J., Chen, S.-J., Chen, Y., Giridhar, A., Iida, T., Kim, H., Lai, T. Y. Y., Lee, W. K., Li, X., et al. (2013) · Retina

Retinal Diseases and TreatmentsOcular Diseases and Behçet’s Syndrome

Cited by 265

Integrated image-based deep learning and language models for primary diabetes care

Li, J., Guan, Z., Wang, J., Cheung, C. Y., Zheng, Y., Lim, L.-L., Lim, C. C., Ruamviboonsuk, P., Raman, R., Corsino, L., et al. (2024) · Nature Medicine

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 250

Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program

Ruamviboonsuk, P., Krause, J., Chotcomwongse, P., Sayres, R., Raman, R., Widner, K., Campana, B. J. L., Phene, S., Hemarat, K., Tadarati, M., et al. (2019) · npj Digital Medicine

Retinal Imaging and AnalysisRetinal Diseases and Treatments

Cited by 233

Large language models and their impact in ophthalmology

Betzler, B. K., Chen, H., Cheng, C.-Y., Lee, C. S., Ning, G., Song, S. J., Lee, A. Y., Kawasaki, R., van Wijngaarden, P., Grzybowski, A., et al. (2023) · The Lancet Digital Health

Artificial Intelligence in Healthcare and EducationOphthalmology and Visual Health Research

Cited by 161

Transforming Non-Digital, Clinical Workflows to Detect and Track Vision-Threatening Diabetic Retinopathy via a Digital Platform Integrating Artificial Intelligence: Implementation Research

Chotcomwongse, P., Ruamviboonsuk, P., Karavapitayakul, C., Thongthong, K., Amornpetchsathaporn, A., Chainakul, M., Triprachanath, M., Lerdpanyawattananukul, E., Arjkongharn, N., Ruamviboonsuk, V., et al. (2025) · Ophthalmology and Therapy

Retinal Imaging and AnalysisRetinal Diseases and Treatments

Cited by 9