Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning
Ryan Poplin(Broad Institute), Dale R. Webster(Google (United States)), Michael V. McConnell(Institute for Stem Cell Biology and Regenerative Medicine), Greg S. Corrado(Google (United States)), Yun Liu(Google (United States)), Katy Blumer(Google (United States)), Lily Peng(Harvard University), Avinash V. Varadarajan(Google (United States))
Cited by 1,827
Related Papers
Analysis of protein-coding genetic variation in 60,706 humans
|Nature|2016|10.3k
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
|JAMA|2016|7.5k
A guide to deep learning in healthcare
|Nature Medicine|2018|4.7k
Large language models encode clinical knowledge
|Nature|2023|3.1k
International evaluation of an AI system for breast cancer screening
|Nature|2020|3.1k