| NAME
|
TITLE
|
| MO WANG |
Quantitative
Retinal Vascular Profiling in Pathologic Myopia via Deep Learning-Based Fundus
Analysis
|
| Yueye WANG |
What is the role
of human decisions
in a world of artificial intelligence: an economic evaluation of
human-AI collaboration in diabetic retinopathy screening
|
| Xi Chen |
Association of
Obesity Duration with Optic Nerve Morphology: A 14-Year Longitudinal Cohort Study
|
| Shayne S Tan |
In Vivo
Three-Dimensional Optic Nerve Head Strain from Positional and Acute Intraocular Pressure Changes
in Normal Tension Glaucoma
|
| Randy Kindangen |
Explainable Deep
Learning for Teleophthalmology: Visualizing Diagnostic Bias in Eyelid Tumor Screening
|
| Karpagam Damodaran |
Automated
Web-Based AI Screening of Meibomian Gland Dysfunction for Tele-Ophthalmology Applications
|
| Xi Qu |
Dry Eye in
Children and Adolescents With Type 1 Diabetes Is Closely Associated With Corneal Nerve
Morphological Alterations.
|
| Xixuan Zhao |
Sleep, Melatonin,
and Diabetic Retinopathy: A Mediation and Longitudinal Study
|
| Karpagam Damodaran |
Smartphone-Based
Iris Imaging and Deep Learning for Non-Invasive Diabetes Screening: A Tele-Ophthalmology
Approach
|
| Yajun Wu |
Development and
Clinical Application of an AI-Assisted Diagnosis and Treatment System for High Myopia Fundus
Diseases
|
| Zuyi Yang |
Development and
Validation of a Deep-Learning Model to Predict Visual and Anatomical Prognosis of Anti-VEGF
Therapy for Neovascular Age-Related Macular Degeneration: A Prospective, Nationwide,
Multi-center Study
|
| Kah Meng Ang |
Automated
Artificial Intelligence Framework for High-Precision Quantification of Retinal Thinning and
Atrophy
|
| Xiaolan Chen |
From visual
question answering to intelligent AI agents in ophthalmology
|
| Wenyi Hu |
Economic Value of
AI-Driven Diabetic Retinopathy Screening in Australia: A Cost-Effectiveness Analysis for
Reimbursement Decision-making
|
| Yeni Dwi Lestari |
Real-world
Artificial Intelligence-assisted Diabetic Retinopathy Screening in Primary Health Care Setting
in Jakarta, Indonesia
|
| Yuxuan Wu |
Early Prediction
of Preeclampsia in Pregnancy Using Noninvasive Retinal Vascular Features
|
| Pengcheng Li |
Acute Effects of
E-sports on Retinal-Choroidal Microcirculation and Photoreceptor Morphology: An AO-SLO and
SS-OCTA Study
|
| Yiwei Wu |
Intraocular Lens
Power Calculation in Highly Myopic Eyes with Axial Length ≥28 mm: Impact of two Corneal
Keratometries and Anterior Segment Parameters
|
| Jinze Zhang |
Development of
Foundation Model–Driven Full-Process 3D OCT Diagnostic System and Clinical Utility Evaluation
|
| Wong Chong En |
SELENA+ (Singapore
Eye Lesion Analyser +) AI as Pre-Processing Tool for Research Grading: A Pilot Longitudinal
Workflow Efficiency Study
|
| Xinyuan Wu |
Operational
digital twins for embodied ophthalmic clinic
|
| Zhenhan Wang |
Non-Invasive
Estimation of Cycloplegic Refraction in Children from Color Fundus Photographs Using a
Multi-Task Deep Learning Framework
|
| Bingjie YAN |
EyeFlow: A
Self-Evolving Multi-Agent Framework for Knowledge-Grounded Ophthalmic Diagnosis
|
| Yue Wu |
A Generative
Framework for De Novo Discovery and Potency Optimization of Antimicrobial Peptides For Ocular
Infection
|
| Yue Wu |
Building an
AI-powered virtual eye (AIVE): roadmap, challenges, and opportunities
|
