Multimodal Machine Learning Enables AI Chatbot to Diagnose Ophthalmic Diseases and Provide High-Quality Medical Responses: A Model Development and Multicenter Study

Author:

Ma Ruiqi,Cheng Qian,Yao Jing,Peng Zhiyu,Yan Mingxu,Lu Jie,Liao Jingjing,Tian Lejin,Shu Wenjun,Zhang Yunqiu,Wang Jinghan,Jiang Pengfei,Xia Weiyi,Li Xiaofeng,Gan Lu,Wang Xiawei,Lin Xintong,Chen Haifeng,Zhu Weifang,Xiang Dehui,Nie Baoqing,Wang Jingtao,Guo Jie,Xue Kang,Zhao Yue,Zhu Jiang,Qin Bing,Jiang Qin,Cui Hongguang,Cheng Jinwei,Zhang Rui,Zhu Xiangjia,Hong Jiaxu,Wen Wen,Shi Fei,Qian Jiang,Chen Xinjian,Zhao Chen

Publisher

Elsevier BV

Reference30 articles.

1. Artificial intelligence and digital health in global eye health: opportunities and challenges;T F Tan;Lancet Global Health,2023

2. Development and international validation of custom-engineered and code-free deep-learning models for detection of plus disease in retinopathy of prematurity: a retrospective study;S K Wagner;Lancet Digital Health,2023

3. Unveiling the clinical incapabilities: a benchmarking study of GPT-4V(ision) for ophthalmic multimodal image analysis;P S Xu;British Journal of Ophthalmology,2024

4. Vision-Language Models for Feature Detection of Macular Diseases on Optical Coherence Tomography;F Antaki;Jama Ophthalmology,2024

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