Processing fundus images using machine learning models

A system comprising one or more computers and one or more storage devices storing instructions that when executed by the one or more computers cause the one or more computers to perform operations comprising:

• obtaining a model input comprising one or more fundus images, each fundus image being an image of a fundus of an eye of a patient;
• processing the model input using a fundus image processing machine learning model, wherein the fundus image processing machine learning model is configured to process the model input comprising the one or more fundus images to generate a model output that characterizes the health of the patient with respect to one or more cardiovascular risk factors;
• and
• processing the model output to generate health analysis data that characterizes an aspect of the health of the patient with respect to cardiovascular risk factors.

One or more non-transitory computer-readable storage media encoded with instructions that when executed by one or more computers cause the one or more computers to perform to perform operations comprising:

• obtaining a model input comprising one or more fundus images, each fundus image being an image of a fundus of an eye of a patient;
• processing the model input using a fundus image processing machine learning model, wherein the fundus image processing machine learning model is configured to process the model input comprising the one or more fundus images to generate a model output that characterizes the health of the patient with respect to one or more cardiovascular risk factors;
• and
• processing the model output to generate health analysis data that characterizes an aspect of the health of the patient with respect to cardiovascular risk factors.