By analyzing scans of the back of a patient’s eye, the company’s software is able to accurately deduce data, including an individual’s age, blood pressure, and whether or not they smoke.
A paper describing the work was published today in the Nature journal Biomedical Engineering, although the research was also shared before peer review last September.
Luke Oakden-Rayner, a medical researcher at the University of Adelaide who specializes in machine learning analysis, told The Verge that the work was solid, and shows how AI can help improve existing diagnostic tools.
Although the idea of looking at your eyes to judge the health of your heart sounds unusual, it draws from a body of established research.
For now, the idea of an AI doctor churning out new diagnoses without human oversight is a distant prospect — most likely decades, rather than years, in the future.