EE-Explorer: A Multimodal Artificial Intelligence System for Eye Emergency Triage and Primary Diagnosis

Association of the Affordable Care Act with Eye-Related Emergency Department Utilization in the United States

(2022) Tahreem A. Mir et al.   OPHTHALMOLOGY

Multimodal Machine Learning Using Visual Fields and Peripapillary Circular OCT Scans in Detection of Glaucomatous Optic Neuropathy

(2021) Jian Xiong et al.   OPHTHALMOLOGY

Pay attention to doctor–patient dialogues: Multi-modal knowledge graph attention image-text embedding for COVID-19 diagnosis

(2021) Wenbo Zheng et al.   Information Fusion

Artificial intelligence algorithm to predict the need for critical care in prehospital emergency medical services

(2020) Da-Young Kang et al.   Scandinavian Journal of Trauma Resuscitation & Emergency Medicine

Ophthalmic Emergencies for the Clinician

(2020) Saumya M. Shah et al.   MAYO CLINIC PROCEEDINGS

Validation of a new system for triage of ophthalmic emergencies: the alphabetical triage score for ophthalmology (ATSO)

(2020) Francesco D’Oria et al.   INTERNATIONAL OPHTHALMOLOGY

Accuracy of Referral and Phone-Triage Diagnoses in an Eye Emergency Department

(2020) Jordan D. Deaner et al.   OPHTHALMOLOGY

Artificial intelligence method to classify ophthalmic emergency severity based on symptoms: a validation study

(2020) Hyunmin Ahn   BMJ Open

Effect of time to primary repair on final visual outcome after open globe injury

(2019) Richard J Blanch et al.   BRITISH JOURNAL OF OPHTHALMOLOGY

Accuracy of a Popular Online Symptom Checker for Ophthalmic Diagnoses

(2019) Carl Shen et al.   JAMA Ophthalmology

Universal artificial intelligence platform for collaborative management of cataracts

(2019) Xiaohang Wu et al.   BRITISH JOURNAL OF OPHTHALMOLOGY

Measurement of Retinal Changes in Primary Acute Angle Closure Glaucoma under Different Durations of Symptoms

(2019) Xiaolu Zhu et al.   Journal of Ophthalmology

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

(2018) Zhixi Li et al.   OPHTHALMOLOGY

Testing the Reliability of an Eye-Dedicated Triaging System: The Rescue

(2018) T. Rossi et al.   EUROPEAN JOURNAL OF OPHTHALMOLOGY

Ocular Emergencies

(2017) Andreina Tarff et al.   MEDICAL CLINICS OF NORTH AMERICA

The Current State of Teleophthalmology in the United States

(2017) Siddarth Rathi et al.   OPHTHALMOLOGY

Multi-label classification methods for improving comorbidities identification

(2017) A. Wosiak et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

(2016) Varun Gulshan et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Epidemiology of Eye-Related Emergency Department Visits

(2016) Roomasa Channa et al.   JAMA Ophthalmology

From pen-and-paper questionnaire to a computer-assisted instrument for self-triage in the ophthalmic emergency department: Process and validation

(2015) Eva S.V. Eijk et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Triaging self-referred patients attending ophthalmic emergency room

(2015) Mazen AlSamnan et al.   SAUDI MEDICAL JOURNAL