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PhacoTrainer: Automatic Artificial Intelligence-Generated Performance Ratings for Cataract Surgery

Author : Sophia Wang
Stratification of Risk Factors Using Artificial Intelligence (AI) in Predicting Outcomes of Deep Anterior Lamellar Keratoplasty (Dalk) in Advanced Keratoconus.

Author : Durgalaxmi Modak
Detection of Disease-Related Visual Impairment in Diabetic Patients Using Retinal Photograph-Based Deep Learning

Author : Can Can Xue
Improving Non-Mydriatic Retinal Photo Quality using Generative Adversarial Network

Author : Yih-Chung Tham
Using AI to Understand Role of Vitamin D and IgE and Its Association With Tear Cytokines in Viral Conjunctivitis

Author : Durgalaxmi Modak
Comparison of Diagnostic Performance of a Novel Smartphone Photography based Screening with Remote Ophthalmologist Review versus In-person Ophthalmologist Eye Camp Examination

Author : Prabhu Krishna Ravilla Sriram
Rural Screening for Multiple Retinal Diseases Using a Deep Learning System and Ultra-Widefield Images

Author : Tingxin Cui
DeepFundus: A Flow Cytometry-Like Image Quality Classifier for Boosting the Whole Lifecycle of Medical Artificial Intelligence

Author : Lixue Liu
Novel AI Techniques for Retinal Imaging

Author : Liu Yong
AI to Detect Multiple Retinal Diseases

Author : Youxin Chen
Translating AI Into Real-world Setting for Retinal Diseases

Author : Paisan Ruamviboonsuk
Federated Learning and Blockchain for Ophthalmology

Author : Rick Goh
Federated Machine Learning for Ophthalmology

Author : John Campbell
Blockchain Use for Clinical Trials

Author : Haotian Lin
AI for Clinical Trials in Ophthalmology

Author : Stela Vujosevic

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PhacoTrainer: Automatic Artificial Intelligence-Generated Performance Ratings for Cataract Surgery

Stratification of Risk Factors Using Artificial Intelligence (AI) in Predicting Outcomes of Deep Anterior Lamellar Keratoplasty (Dalk) in Advanced Keratoconus.

Detection of Disease-Related Visual Impairment in Diabetic Patients Using Retinal Photograph-Based Deep Learning

Improving Non-Mydriatic Retinal Photo Quality using Generative Adversarial Network

Using AI to Understand Role of Vitamin D and IgE and Its Association With Tear Cytokines in Viral Conjunctivitis

Comparison of Diagnostic Performance of a Novel Smartphone Photography based Screening with Remote Ophthalmologist Review versus In-person Ophthalmologist Eye Camp Examination

Rural Screening for Multiple Retinal Diseases Using a Deep Learning System and Ultra-Widefield Images

DeepFundus: A Flow Cytometry-Like Image Quality Classifier for Boosting the Whole Lifecycle of Medical Artificial Intelligence

Novel AI Techniques for Retinal Imaging

AI to Detect Multiple Retinal Diseases

Translating AI Into Real-world Setting for Retinal Diseases

Federated Learning and Blockchain for Ophthalmology

Federated Machine Learning for Ophthalmology

Blockchain Use for Clinical Trials

AI for Clinical Trials in Ophthalmology

Subspecialty

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