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Effectiveness of Using Interactive Consulting System to Enhance Informed Choice

Age-related Cataract Clinical Trial

Official title:
Effectiveness of Using Interactive Consulting System Based on Large Language Model to Enhance Informed Choice of Cataract Patients: a Non-inferiority Randomized Controlled Trial

Clinical Trial Summary

To compare the performance of an interactive chatbot versus senior ophthalmologists for enhancing informed decisions made by cataract patients. The chatbot was built based on large language models, and could generate medical expert-level responses.

Clinical Trial Description

Cataract surgery is the only way to treat age-related cataract. For patients at early or moderate stages, cataract surgery is an elective surgery without objective indications. Therefore the patients are uaually not aware whether they should receive the surgery. The number of trained and qualified ophthalmologists are limited in China and lots of patients cannot have detailed consultation with ophthalmologists. As a result, many patients still have doubts about whether they should receive cataract surgery or not. In this study, we aim to assess the effectiveness of an interactive chatbot based on large language models versus senior ophthalmologists to enhance informed decisions made by cataract patients. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT04246346
Study type Interventional
Source Sun Yat-sen University
Contact Yingfeng Zheng, MD, PhD
Phone +8613922286455
Email zhyfeng@mail.sysu.edu.cn
Status Recruiting
Phase N/A
Start date September 1, 2023
Completion date December 31, 2023
View Details
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