Deep learning algorithm using fundus photographs for 10-year risk assessment of ischemic cardiovascular diseases in China
Summary
Deep learning algorithm using fundus photographs for 10-year risk assessment of ischemic cardiovascular diseases in China is a scholarly article[1].
Key Facts
Deep learning algorithm using fundus photographs for 10-year risk assessment of ischemic cardiovascular diseases in China's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Deep learning algorithm using fundus photographs for 10-year risk assessment of ischemic cardiovascular diseases in China. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-algorithm-using-fundus-photographs-for-10-year-risk-assessment-of-ischemic-cardiovascular-diseases-in-chin
MLA“Deep learning algorithm using fundus photographs for 10-year risk assessment of ischemic cardiovascular diseases in China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-algorithm-using-fundus-photographs-for-10-year-risk-assessment-of-ischemic-cardiovascular-diseases-in-chin.
BibTeX@misc{4ortxyz_deep-learning-algorithm-using-fundus-photographs-for-10-year-risk-assessment-of-ischemic-cardiovascular-diseases-in-chin_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep learning algorithm using fundus photographs for 10-year risk assessment of ischemic cardiovascular diseases in China}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-algorithm-using-fundus-photographs-for-10-year-risk-assessment-of-ischemic-cardiovascular-diseases-in-chin}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep learning algorithm using fundus photographs for 10-year risk assessment of ischemic cardiovascular diseases in China — https://4ort.xyz/entity/deep-learning-algorithm-using-fundus-photographs-for-10-year-risk-assessment-of-ischemic-cardiovascular-diseases-in-chin (retrieved 2026-05-24)
