Transforming Glaucoma Care with Artificial Intelligence: A Comprehensive Review of Diagnosis, Monitoring, and Treatment Algorithms

Amanda Amberg; Alejandro Espaillat

doi:10.20944/preprints202403.0602.v1

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preprints.org > medicine and pharmacology > ophthalmology > doi: 10.20944/preprints202403.0602.v1

Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

Transforming Glaucoma Care with Artificial Intelligence: A Comprehensive Review of Diagnosis, Monitoring, and Treatment Algorithms

Amanda Amberg

and

Alejandro Espaillat

Version 1 : Received: 9 March 2024 / Approved: 11 March 2024 / Online: 11 March 2024 (21:37:41 CET)

How to cite: Amberg, A.; Espaillat, A. Transforming Glaucoma Care with Artificial Intelligence: A Comprehensive Review of Diagnosis, Monitoring, and Treatment Algorithms. Preprints 2024, 2024030602. https://doi.org/10.20944/preprints202403.0602.v1 Amberg, A.; Espaillat, A. Transforming Glaucoma Care with Artificial Intelligence: A Comprehensive Review of Diagnosis, Monitoring, and Treatment Algorithms. Preprints 2024, 2024030602. https://doi.org/10.20944/preprints202403.0602.v1

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MDPI and ACS Style

Amberg, A.; Espaillat, A. Transforming Glaucoma Care with Artificial Intelligence: A Comprehensive Review of Diagnosis, Monitoring, and Treatment Algorithms. Preprints 2024, 2024030602. https://doi.org/10.20944/preprints202403.0602.v1

APA Style

Amberg, A., & Espaillat, A. (2024). Transforming Glaucoma Care with Artificial Intelligence: A Comprehensive Review of Diagnosis, Monitoring, and Treatment Algorithms. Preprints. https://doi.org/10.20944/preprints202403.0602.v1

Chicago/Turabian Style

Amberg, A. and Alejandro Espaillat. 2024 "Transforming Glaucoma Care with Artificial Intelligence: A Comprehensive Review of Diagnosis, Monitoring, and Treatment Algorithms" Preprints. https://doi.org/10.20944/preprints202403.0602.v1

Abstract

This review article explores the transformative impact of Artificial Intelligence (AI) on glaucoma care, focusing on advancements in diagnosis, monitoring, and treatment algorithms. AI technologies have revolutionized the field of ophthalmology by enhancing the accuracy and efficiency of diagnosing glaucoma. Furthermore, AI-powered monitoring systems enable continuous and personalized patient care, facilitating early detection of disease progression. Integrating AI algorithms in treatment protocols promises individualized and optimized therapeutic strategies for better management of glaucoma. This comprehensive review elucidates AI applications' current state and future directions in transforming glaucoma care, emphasizing the potential benefits of improving patient outcomes.

Keywords

glaucoma; artificial intelligence; diagnosis; monitoring; treatment algorithms

Subject

Medicine and Pharmacology, Ophthalmology

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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