Conversational Guide for Cataract Surgery Complications: A Comparative Study of Surgeons versus Large Language Model-Based Chatbot Generated Instructions for Patient Interaction
The LLM-based chatbot gave a detailed description of the complication but was less specific about the alternative measures. The surgeons had a more in-depth understanding of the situation. The chatbot showed complete honesty but scored less for empathy. With more training using complex real-world scenarios and specialized ophthalmologic data, the chatbots could be used to assist the surgeons in counselling patients for postoperative complications.
Authors
- Dhanashree Ratra (ORCID: https://orcid.org/0000-0001-5687-6384)
- Aashna Ratra (ORCID: https://orcid.org/0000-0001-6396-1843)
- Vineet Ratra (ORCID: https://orcid.org/0000-0003-3444-9052)
- Thomas W Fredrick (ORCID: https://orcid.org/0000-0002-2906-1574)
- Ramesh Dorairajan
- Vijay Shankar S (ORCID: https://orcid.org/0000-0002-7768-6042)
- Sathishkumar Sundaramoorthy
- Quresh Maskati
Institutions
- Sankara Nethralaya (IN)
- Stanley Medical College (IN)
- Nirma (India) (IN)
- Jyotirmay Eye Clinic (IN)
- Dr. Agarwal's Eye Hospital (IN)
Publication Details
- Journal
- Ophthalmic Epidemiology
- Published
- 2025-04-02
- DOI
- https://doi.org/10.1080/09286586.2025.2484772
- Citations
- 2
- Primary Topic
- AI in Service Interactions
- Type
- article
- Field-Weighted Citation Impact
- 4.96