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Artificial Intelligence and Advanced Technology in Glaucoma: A Review
Emanuele Tonti1, Sofia Tonti2, Flavia Mancini3
1UOC Ophthalmology, Sant'Eugenio Hospital, 00144 Rome, Italy.
Journal of Personalized Medicine
|October 25, 2024
Summary
Artificial intelligence (AI) enhances personalized glaucoma care through early detection, diagnosis, and treatment optimization. AI tools improve patient outcomes by integrating predictive analytics and enabling remote monitoring for better clinical decisions.
Area of Science:
- Ophthalmology
- Medical Informatics
- Artificial Intelligence
Background:
- Glaucoma is a primary cause of irreversible blindness globally, requiring individualized management.
- Artificial intelligence (AI) offers transformative potential for personalized glaucoma care.
Purpose of the Study:
- To review AI applications in personalized glaucoma patient management.
- To highlight advancements, challenges, and future directions in this field.
Main Methods:
- Systematic literature search of PubMed, Scopus, and Web of Science up to 2024.
- Inclusion of studies on AI techniques for personalized glaucoma management.
Main Results:
- AI, especially deep learning, accurately diagnoses glaucoma from OCT and visual field tests.
- AI risk stratification tools personalize treatment, improving outcomes and minimizing side effects.
- AI-powered teleophthalmology enhances remote monitoring and patient access to care.
Conclusions:
- AI integration in glaucoma management optimizes clinical decisions and treatment efficacy.
- Challenges include data heterogeneity, model interpretability, and regulatory issues.
- Future research needs algorithm refinement, clinical validation, and seamless integration into practice.
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