Core Insights - The article highlights the significant advancements in AI technology for glaucoma screening and diagnosis, emphasizing its potential to improve efficiency and accuracy in the medical field [1][2][3] Group 1: AI in Glaucoma Screening - Glaucoma is the second leading cause of blindness globally, with approximately 21 million patients in China and a blindness rate of about 27% [2] - AI technology has been successfully applied to enhance the efficiency of glaucoma screening, allowing one doctor to see up to 500 patients a day compared to the previous limit of 50 [3] - The AI-assisted diagnostic system developed by the Zhongshan University Eye Center has received regulatory approval and is already in use in multiple cities [3] Group 2: Data and Research Contributions - The establishment of the iChallenge dataset, the largest publicly available ophthalmic dataset, aims to promote research in ophthalmology by providing high-quality data [5][6] - The dataset has been cited in over 1,000 research papers and has won the 2023 TOP100 Achievement Award from the Bench Council, highlighting its impact on the field [6] - The open data initiative is expected to accelerate research and product development in ophthalmology, benefiting potential patients [6] Group 3: Multidisciplinary Knowledge and AI Integration - The integration of AI across various industries necessitates professionals with multidisciplinary knowledge, as seen in the new dual-degree programs introduced by South China University of Technology [7][8] - The application of AI in medical diagnostics requires a solid understanding of medical knowledge, prompting researchers to pursue formal education in relevant fields [9] - The potential expansion of AI applications from retinal imaging to cardiovascular disease diagnosis is seen as a significant trend, with government support for such initiatives [9]