Integration of smartphone technology and artificial intelligence for advanced ophthalmic care: A systematic review

Kai Jin; Yingyu Li; Hongkang Wu; Yih Chung Tham; Victor Koh; Yitian Zhao; Ryo Kawasaki; Andrzej Grzybowski; Juan Ye

doi:10.1016/j.aopr.2024.03.003

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Integration of smartphone technology and artificial intelligence for advanced ophthalmic care: A systematic review

Review | 更新时间：2024-12-14

- Integration of smartphone technology and artificial intelligence for advanced ophthalmic care: A systematic review
- Integration of smartphone technology and artificial intelligence for advanced ophthalmic care: A systematic review
- 眼科实践与研究新进展 2024年4卷第3期页码：120-127
- 作者机构：
  
  1. Eye Center, The Second Affiliated Hospital of Zhejiang University School of Medicine
  2. Zhejiang Provincial Key Laboratory of Ophthalmology
  3. Zhejiang Provincial Clinical Research Center for Eye Diseases
  4. Zhejiang Provincial Engineering Institute on Eye Diseases,Hangzhou,China
  5. Centre for Innovation and Precision Eye Health, National University of Singapore,Singapore
  6. Department of Ophthalmology, National University of Singapore,Singapore
  7. Singapore Eye Research Institute, Singapore National Eye Centre,Singapore
  8. Ophthalmology and Visual Science Academic Clinical Program, Duke-NUS Medical School,Singapore
  9. Cixi Institute of Biomedical Engineering, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences,Ningbo,China
  10. Ningbo Eye Hospital,Ningbo,China
  11. Zhejiang International Scientific and Technological Cooperative Base of Biomedical Materials and Technology, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences,Ningbo,China
  12. Zhejiang Engineering Research Center for Biomedical Materials, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences,Ningbo,China
  13. Division of Public Health, Department of Social Medicine, Graduate School of Medicine, Osaka University,Osaka,Japan
  14. Artificial Intelligence Center for Medical Research and Application, Osaka University Hospital,Osaka,Japan
  15. ,Poznan,Poland
- 作者简介：
- 基金信息：
- DOI：10.1016/j.aopr.2024.03.003
  中图分类号：
- 纸质出版日期：2024，
- 稿件说明：
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Kai Jin, Yingyu Li, Hongkang Wu, 等. Integration of smartphone technology and artificial intelligence for advanced ophthalmic care: A systematic review[J]. 眼科实践与研究新进展, 2024,4(3):120-127.

KAI JIN, YINGYU LI, HONGKANG WU, et al. Integration of smartphone technology and artificial intelligence for advanced ophthalmic care: A systematic review. [J]. Aopr, 2024, 4(3): 120-127.
Kai Jin, Yingyu Li, Hongkang Wu, 等. Integration of smartphone technology and artificial intelligence for advanced ophthalmic care: A systematic review[J]. 眼科实践与研究新进展, 2024,4(3):120-127. DOI： 10.1016/j.aopr.2024.03.003.

KAI JIN, YINGYU LI, HONGKANG WU, et al. Integration of smartphone technology and artificial intelligence for advanced ophthalmic care: A systematic review. [J]. Aopr, 2024, 4(3): 120-127. DOI： 10.1016/j.aopr.2024.03.003.

摘要

Abstract

BackgroundThe convergence of smartphone technology and artificial intelligence (AI) has revolutionized the landscape of ophthalmic care

offering unprecedented opportunities for diagnosis

monitoring

and management of ocular conditions. Nevertheless

there is a lack of systematic studies on discussing the integration of smartphone and AI in this field.Main textThis review includes 52 studies

and explores the integration of smartphones and AI in ophthalmology

delineating its collective impact on screening methodologies

disease detection

telemedicine initiatives

and patient management. The collective findings from the curated studies indicate promising performance of the smartphone-based AI screening for various ocular diseases which encompass major retinal diseases

glaucoma

cataract

visual impairment in children and ocular surface diseases. Moreover

the utilization of smartphone-based imaging modalities

coupled with AI algorithms

is able to provide timely

efficient and cost-effective screening for ocular pathologies. This modality can also facilitate patient self-monitoring

remote patient monitoring and enhancing accessibility to eye care services

particularly in underserved regions. Challenges involving data privacy

algorithm validation

regulatory frameworks and issues of trust are still need to be addressed. Furthermore

evaluation on real-world implementation is imperative as well

and real-world prospective studies are currently lacking.ConclusionsSmartphone ocular imaging merged with AI enables earlier

precise diagnoses

personalized treatments

and enhanced service accessibility in eye care. Collaboration is crucial to navigate ethical and data security challenges while responsibly leveraging these innovations

promising a potential revolution in care access and global eye health equity.

关键词

Keywords

Artificial intelligenceSmartphone imagingOphthalmologyTelemedicineOcular disease management

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