In the early stage of artificial general intelligence (AGI), the emergence of large language models like ChatGPT highlights their potential in improving patient care, expanding healthcare access, and optimizing clinical decision-making processes in the healthcare sector.However, their integration into healthcare systems requires careful consideration to mitigate potential risks, such as incorrect medical advice, infringement of patient privacy, creation of false references and images, and the overreliance of students on AGI in medical education.It is crucial to implement appropriate supervision and regulation to address these potential risks and ensure the safe and effective application of AGI technology in the field of ophthalmology.By continuously improving its limitations, AGI can be utilized to enhance the dissemination of disease knowledge and background information for ophthalmology patients, optimize the summarization of medical knowledge and improve healthcare processes, ultimately benefiting society as a whole.
Ophthalmology;Deep learning;Large language models;Artificial intelligence;ChatGPT
Authors Info & Affiliations
Wu Shinan
Eye Institute of Xiamen University, Xiamen 361005, China
Tan gang
Department of Ophthalmology, The First Affiliated Hospital of University of South China, Hengyang 421000, China
Shao Yi
Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Eye Diseases, Shanghai 200080, China