Clinical Report: Chatbots Enter Retinal Care

Overview

Revise to emphasize the integration of clinician-approved knowledge and its impact on chatbot responses.

Background

Patient education is crucial in ophthalmic care, especially for conditions like retinal detachment where timely intervention can significantly affect outcomes. Traditional patient information methods often fail to meet the diverse needs of patients, particularly those with low vision or limited health literacy. The introduction of AI-driven chatbots represents a potential advancement in delivering accessible and interactive patient education.

Data Highlights

No numerical data available in the article.

Key Findings

• The chatbot is built on a retrieval-augmented generation framework, ensuring responses are grounded in verified knowledge.
• GPT-4o outperformed other leading large language models in evaluation metrics such as BLEU, ROUGE, and BERTScore.
• The system supports multilingual text-to-speech and speech-to-text capabilities, enhancing accessibility for diverse patient populations.
• Variability in performance among LLMs highlights the importance of model selection in clinical applications.
• The chatbot remains a research prototype and requires further clinical validation before deployment.

Clinical Implications

Clinicians may consider integrating AI-driven chatbots into patient education strategies to improve engagement and understanding of retinal conditions. The performance of different large language models should be carefully evaluated when selecting tools for clinical use.

Conclusion

Highlight the importance of clinical validation and its implications for patient outcomes.

References

1. The Ophthalmologist, AI in Retina: Accuracy First, 2026 -- AI in Retina: Accuracy First
2. The Ophthalmologist, AI Boosts Diabetic Eye Care Access, 2026 -- AI Boosts Diabetic Eye Care Access
3. Ophthalmology Management, Quick Hits, 2024 -- Quick Hits
4. National Eye Institute, Retinal Detachment -- Retinal Detachment
5. ophthalmic professional — Enhancing Retinal Care With Remote Patient Monitoring
6. Retinal Detachment | National Eye Institute
7. Intravitreal Aflibercept 8 mg in Neovascular Age-Related Macular Degeneration: Ninety-Six-Week Results from the Randomized Phase 3 PULSAR Trial - ScienceDirect
8. Performance analysis of an emergency triage system in ophthalmology using a customized CHATBOT - Inès Schumacher, Lorenzo Ferro Desideri, Virginie Manuela Marie Bühler, Nicola Sagurski, Yousif Subhi, Gaurav Bhardwaj, Janice Roth, Rodrigo Anguita, 2025