On September 25th, advised by China Chemical Fibers Association, and sponsored by Fujian Baichuan Resources Recycling Science & Technology Co., Ltd.,“Baichuan Products, Colorful Recycling - Baichuan Science &...On September 25th, advised by China Chemical Fibers Association, and sponsored by Fujian Baichuan Resources Recycling Science & Technology Co., Ltd.,“Baichuan Products, Colorful Recycling - Baichuan Science & Technology Regenerated Colored Yarn Products Conference and Green Textile Exchange Conference" was convened in Shanghai. At this conference, the project of "Baichuan re-generated waterless dyeing colored yam supermarket” was officially launched. The start of this project has solved three key problems well: first, environmental problems have been solved.展开更多
Purpose:The advent of chatbots based on large language models(LLMs),such as ChatGPT,has significantly transformed knowledge acquisition.However,the application of LLMs in glaucoma patient education remains elusive.In ...Purpose:The advent of chatbots based on large language models(LLMs),such as ChatGPT,has significantly transformed knowledge acquisition.However,the application of LLMs in glaucoma patient education remains elusive.In this study,we comprehensively compared the performance of four common LLMs–Qwen,Baichuan 2,ChatGPT-4o,and PaLM 2–in the context of glaucoma patient education.Methods:Initially,senior ophthalmologists were asked with scoring responses generated by the LLMs,which were answers to the most frequent glaucoma-related questions posed by patients.The Chinese Readability Platform was employed to assess the recommended reading age and reading difficulty score of the four LLMs.Subsequently,optimized models were filtered,and 29 glaucoma patients participated in posing questions to the chatbots and scoring the answers within a real-world clinical setting.Attending ophthalmologists were also required to score the answers across five dimensions:correctness,completeness,readability,helpfulness,and safety.Patients,on the other hand,scored the answers based on three dimensions:satisfaction,readability,and helpfulness.Results:In the first stage,Baichuan 2 and ChatGPT-4o outperformed the other two models,though ChatGPT-4o had higher recommended reading age and reading difficulty scores.In the second stage,both Baichuan 2 and ChatGPT-4o demonstrated exceptional performance among patients and ophthalmologists,with no statistically significant differences observed.Conclusions:Our research identifies Baichuan 2 and ChatGPT-4o as prominent LLMs,offering viable options for glaucoma education.展开更多
文摘On September 25th, advised by China Chemical Fibers Association, and sponsored by Fujian Baichuan Resources Recycling Science & Technology Co., Ltd.,“Baichuan Products, Colorful Recycling - Baichuan Science & Technology Regenerated Colored Yarn Products Conference and Green Textile Exchange Conference" was convened in Shanghai. At this conference, the project of "Baichuan re-generated waterless dyeing colored yam supermarket” was officially launched. The start of this project has solved three key problems well: first, environmental problems have been solved.
基金supported by National Science Fund for Distinguished Young Scholars(82425015)National Natural Science Foundation of China(82171102)+3 种基金National youth talent support program(QWF158001)National Key Research and Development Program of China(2023YFA0915000)Shanghai Medical Innovation Research Program(22Y21900900)of J.HNational Natural Science Foundation of China(82271044)of X.Z.
文摘Purpose:The advent of chatbots based on large language models(LLMs),such as ChatGPT,has significantly transformed knowledge acquisition.However,the application of LLMs in glaucoma patient education remains elusive.In this study,we comprehensively compared the performance of four common LLMs–Qwen,Baichuan 2,ChatGPT-4o,and PaLM 2–in the context of glaucoma patient education.Methods:Initially,senior ophthalmologists were asked with scoring responses generated by the LLMs,which were answers to the most frequent glaucoma-related questions posed by patients.The Chinese Readability Platform was employed to assess the recommended reading age and reading difficulty score of the four LLMs.Subsequently,optimized models were filtered,and 29 glaucoma patients participated in posing questions to the chatbots and scoring the answers within a real-world clinical setting.Attending ophthalmologists were also required to score the answers across five dimensions:correctness,completeness,readability,helpfulness,and safety.Patients,on the other hand,scored the answers based on three dimensions:satisfaction,readability,and helpfulness.Results:In the first stage,Baichuan 2 and ChatGPT-4o outperformed the other two models,though ChatGPT-4o had higher recommended reading age and reading difficulty scores.In the second stage,both Baichuan 2 and ChatGPT-4o demonstrated exceptional performance among patients and ophthalmologists,with no statistically significant differences observed.Conclusions:Our research identifies Baichuan 2 and ChatGPT-4o as prominent LLMs,offering viable options for glaucoma education.
