Application of artificial intelligence system for screening multiple fundus diseases in Chinese primary healthcare settings: a real-world, multicentre and cross-sectional study of 4795 cases
Conclusion
This study demonstrated the dependability of ARAS for detecting multiple retinal diseases in primary healthcare settings. Implementing the AI-assisted fundus disease screening system in primary healthcare settings might be beneficial in reducing regional disparities in medical resources. However, the ARAS algorithm must be improved to achieve better performance.
Trial registration number
NCT04592068.
Source: British Journal of Ophthalmology - Category: Opthalmology Authors: Gu, C., Wang, Y., Jiang, Y., Xu, F., Wang, S., Liu, R., Yuan, W., Abudureyimu, N., Wang, Y., Lu, Y., Li, X., Wu, T., Dong, L., Chen, Y., Wang, B., Zhang, Y., Wei, W. B., Qiu, Q., Zheng, Z., Liu, D., Chen, J. Tags: Open access Retina Source Type: research
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