Abstract: Systems and methods for determining one or more recommendations for management of wellbeing of an individual are disclosed. An indication of risk of chronic kidney disease (CKD) is determined by a deep learning model based on one or more fundus images. Recommendations for management of the individual's wellbeing are based at least in part on the determined indication of risk of CKD.

Abstract: Systems and methods for determining one or more recommendations for management of wellbeing of an individual are disclosed. An indication of relative cardiovascular aging of the individual is determined based at least in part on determining an indication of relative cardiovascular aging of the first individual, based at least in part on a predicted risk of cardiovascular disease (CVD) of the individual determined by a deep learning model based on one or more fundus images; and determining the at least one recommendation for management of the individual's wellbeing based at least in part on the determined indication of relative cardiovascular aging of the first individual.

Abstract: Systems and methods for determining one or more recommendations for management of wellbeing of an individual are disclosed. An indication of relative cardiovascular aging of the individual is determined based at least in part on a predicted risk of cardiovascular disease (CVD) of the individual determined by a deep learning model based on one or more fundus images. The recommendations for management of the individual's wellbeing are based at least in part on a determined difference between the actual chronological age of the individual and an indication of relative cardiovascular aging of the individual.

Abstract: Systems and methods for predicting a risk of cardiovascular disease (CVD) from one or more fundus images. Fundus images associated with an individual are processed to determine quality sufficiency and to identify fundus images belonging to a single eye. A plurality of risk contributing factor sets of CNNs (RCF CNN) are configured to output an indicator of probability of the presence of a different risk contributing factor in each of the one or more fundus images. At least one of the RCF CNNs is configured in a jury system model having a plurality of jury member CNNs, each being configured to output a probability of a different feature in the one or more fundus images and to determine the indicator of probability of the presence of the risk contributing factor output by the RCF CNN.

Abstract: Systems and methods for determining one or more recommendations for management of wellbeing of an individual are disclosed. An indication of relative cardiovascular aging of the individual is determined based at least in part on a predicted risk of cardiovascular disease (CVD) of the individual determined by a deep learning model based on one or more fundus images. The recommendations for management of the individual's wellbeing are based at least in part on a determined difference between the actual chronological age of the individual and an indication of relative cardiovascular aging of the individual.

Abstract: Systems and methods for determining one or more recommendations for management of wellbeing of an individual are disclosed. An indication of relative cardiovascular aging of the individual is determined based at least in part on a predicted risk of cardiovascular disease (CVD) of the individual determined by a deep learning model based on one or more fundus images. The recommendations for management of the individual's wellbeing are based at least in part on the determined indication of relative cardiovascular aging.

Abstract: Systems and methods for determining one or more recommendations for management of wellbeing of an individual are disclosed. An indication of relative cardiovascular aging of the individual is determined based at least in part on a predicted risk of cardiovascular disease (CVD) of the individual determined by a deep learning model based on one or more fundus images. The recommendations for management of the individual's wellbeing are based at least in part on the determined indication of relative cardiovascular aging.