EE-Explorer: A Multimodal Artificial Intelligence System for Eye Emergency Triage and Primary Diagnosis-Reference-Cited by-同舟云学术

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

Published:2023-08 Issue: Volume:252 Page:253-264
ISSN:0002-9394
Container-title:American Journal of Ophthalmology
language:en
Short-container-title:American Journal of Ophthalmology

Author:

Chen Juan,Wu Xiaohang,Li Mingyuan,Liu Lixue,Zhong Liuxueying,Xiao Jun,Lou Bingsheng,Zhong Xingwu^ORCID,Chen Yanting,Huang Wenbin,Meng Xiangda,Gui Yufei,Chen Meizhen,Wang Dongni,Dongye Meimei,Zhang Xulin,Cheung Carol Y.,Lai Iat Fan,Yan Hua,Lin Xiaofeng,Zheng Yongxin,Lin Haotian

Publisher

Elsevier BV

Subject

Ophthalmology

Reference32 articles.

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3. Effect of time to primary repair on final visual outcome after open globe injury;Blanch;Br J Ophthalmol,2019

4. Accuracy of referral and phone-triage diagnoses in an eye emergency department;Deaner;Ophthalmology,2021

5. Association of the Affordable Care Act with eye-related emergency department utilization in the United States;Mir;Ophthalmology,2022

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2. Artificial Intelligence in Optimizing the Functioning of Emergency De-partments; a Systematic Review of Current Solutions;ARCH ACAD EMERG MED;2024

3. A machine learning system to optimise triage in an adult ophthalmic emergency department: a model development and validation study;eClinicalMedicine;2023-12

4. Artificial intelligence in emergency medicine. A systematic literature review;International Journal of Medical Informatics;2023-12