A deep learning system for predicting time to progression of diabetic retinopathy.

"for the reproduction of our algorithm code we have also deposited a minimum dataset at zenodo ( https://zenodo org/records/10076339 ) which is publicly available for scientific research and non-commercial use."

"code availability the code used in the current study for developing the algorithm is provided at https://github com/drpredict/deepdr_plus ."

"Competing interests The authors declare no competing interests."

"We thank all the investigators and participants in this study. This study was supported by the National Key Research and Development Program of China (2022YFA1004804) to W.J. and H.L.; the Shanghai Municipal Key Clinical Specialty, Shanghai Research Center for Endocrine and Metabolic Diseases (2022ZZ01002) and the Chinese Academy of Engineering (2022-XY-08) to W.J.; the National Key R & D Program of China (2022YFC2502800) and National Natural Science Fund of China (8238810007) to T.Y.W.; the Excellent Young Scientists Fund of NSFC (82022012), General Fund of NSFC (81870598), Innovative research team of high-level local universities in Shanghai (SHSMU-ZDCX20212700) to H.L.; the General Program of NSFC (62272298), the National Key Research and Development Program of China (2022YFC2407000), the Interdisciplinary Program of Shanghai Jiao Tong University (YG2023LC11 and YG2022ZD007), National Natural Science Foundation of China (62272298 and 62077037), the College-level Project Fund of Shanghai Jiao Tong University Affiliated Sixth People’s Hospital (ynlc201909) and the Medical-industrial Cross-fund of Shanghai Jiao Tong University (YG2022QN089) to B.S.; the National Natural Science Foundation of China (82100879) to L.W.; the Clinical Special Program of Shanghai Municipal Health Commission (20224044) and three-year action plan to strengthen the construction of public health system in Shanghai (GWVI-11.1-28) to T.C."