Authors: Niu Shiyang, Qu Lijun DOI: 10.3760/cma.j.cn115989-20250607-00184 Published: 2025 -11 -10 Citation Niu Shiyang, Qu Lijun. Research progress and application prospects of DeepSeek in ophthalmology[J]. Chin J Exp Ophthalmol, 2025, 43(11):1046-1052. DOI: 10.3760/cma.j.cn115989-20250607-00184. ABSTRACT [Download PDF] [Read Full Text] Ophthalmology is undergoing a profound transformation driven by artificial intelligence (AI), represented […]
Tag: Large language models
Advancement of ChatGPT in ophthalmology
Authors: Wu Shinan, Tan gang, Shao Yi DOI: 10.3760/cma.j.cn115989-20230919-00101 Published: 2025 -02 -10 Citation Wu Shinan, Tan gang, Shao Yi. Advancement of ChatGPT in ophthalmology[J]. Chin J Exp Ophthalmol, 2025, 43(2):181-185. DOI: 10.3760/cma.j.cn115989-20230919-00101. ABSTRACT [Download PDF] [Read Full Text] In the early stage of artificial general intelligence (AGI), the emergence […]
Application of large language models in health education for patients with diabetic retinopathy
Authors: Gao Fei, Gao Xue, Shao Yan, Ren Xinjun, Liu Boshi, Jiao Mingfei, Li Xiaorong, Liu Juping DOI: 10.3760/cma.j.cn115989-20240723-00207 Published: 2024-12-10 Citation Gao Fei, Gao Xue, Shao Yan, et al. Application of large language models in health education for patients with diabetic retinopathy[J]. Chin J Exp Ophthalmol, 2024, 42(12):1111-1118. DOI: 10.3760/cma.j.cn115989-20240723-00207. ABSTRACT […]