Novel Technologies in Artificial Intelligence and Telemedicine for Glaucoma Screening
Issued Date
2024-08-01
Resource Type
ISSN
10570829
eISSN
1536481X
Scopus ID
2-s2.0-85201438482
Pubmed ID
38506792
Journal Title
Journal of Glaucoma
Volume
33
Start Page
S26
End Page
S32
Rights Holder(s)
SCOPUS
Bibliographic Citation
Journal of Glaucoma Vol.33 (2024) , S26-S32
Suggested Citation
Christopher M., Hallaj S., Jiravarnsirikul A., Baxter S.L., Zangwill L.M. Novel Technologies in Artificial Intelligence and Telemedicine for Glaucoma Screening. Journal of Glaucoma Vol.33 (2024) , S26-S32. S32. doi:10.1097/IJG.0000000000002367 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/100700
Title
Novel Technologies in Artificial Intelligence and Telemedicine for Glaucoma Screening
Author's Affiliation
Corresponding Author(s)
Other Contributor(s)
Abstract
Purpose: To provide an overview of novel technologies in telemedicine and artificial intelligence (AI) approaches for cost-effective glaucoma screening. Methods/Results: A narrative review was performed by summarizing research results, recent developments in glaucoma detection and care, and considerations related to telemedicine and AI in glaucoma screening. Telemedicine and AI approaches provide the opportunity for novel glaucoma screening programs in primary care, optometry, portable, and home-based settings. These approaches offer several advantages for glaucoma screening, including increasing access to care, lowering costs, identifying patients in need of urgent treatment, and enabling timely diagnosis and early intervention. However, challenges remain in implementing these systems, including integration into existing clinical workflows, ensuring equity for patients, and meeting ethical and regulatory requirements. Leveraging recent work towards standardized data acquisition as well as tools and techniques developed for automated diabetic retinopathy screening programs may provide a model for a cost-effective approach to glaucoma screening. Conclusion: Leveraging novel technologies and advances in telemedicine and AI-based approaches to glaucoma detection show promise for improving our ability to detect moderate and advanced glaucoma in primary care settings and target higher individuals at high risk for having the disease.