Opportunities and Challenges of Chatbots in Ophthalmology
Author Information
Author(s): Sabaner Mehmet Cem, Anguita Rodrigo, Antaki Fares, Balas Michael, Boberg-Ans Lars Christian, Ferro Desideri Lorenzo, Grauslund Jakob, Hansen Michael Stormly, Klefter Oliver Niels, Potapenko Ivan, Rasmussen Marie Louise Roed, Subhi Yousif
Hypothesis
This narrative review evaluates both the opportunities and the challenges of integrating chatbots into ophthalmology research.
Conclusion
Chatbots have the potential to significantly transform the delivery of ophthalmic care, but ethical implications and privacy concerns remain pressing challenges.
Supporting Evidence
- Chatbots have shown promise for addressing patient inquiries and aiding in surgical planning.
- AI-based chatbots have demonstrated sufficient accuracy in handling multiple-choice questions.
- Ethical implications and confidentiality concerns are significant challenges in using chatbots.
Takeaway
Chatbots can help doctors and patients communicate better about eye health, but they can't replace real doctors yet.
Methodology
The review analyzed 100 articles, narrowing down to 43 relevant studies on chatbot performance in ophthalmology.
Potential Biases
Potential biases include the reliance on mainstream chatbots and the lack of a formal bias analysis.
Limitations
The review is narrative and non-systematic, relying on only two databases, which may overlook some relevant studies.
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website