Might sound strange but Google’s latest AI based Algorithm is capable of diagnosing heart disease only by looking at the eyes. Well, details state that Alphabet’s health science company Verily has recently announced a wide range of products, listing smartwatches for medical students to mass-producing infected mosquitoes to curb their population. So, these group of scientists has recently come up with a new initiative. Detecting heart disease risk by simply staring into the patients’ eyes.
This algorithm potentially makes it quicker and easier for doctors to analyze a patient’s cardiovascular risk, as it doesn’t require a blood test. But, this method definitely needs to be tested more thoroughly before it can be used in a clinical setting.
Further, the researchers have explained this method in the Nature journal Biomedical Engineering. To train this algorithm, Google and Verily’s scientists have used machine learning to analyze a medical dataset of nearly 300,000 patients. This information enlisted eye scans as well as general medical data. As with all deep learning analysis, neural networks were then used to mine this information for patterns, learning to associate telltale signs in the eye scans with the metrics needed to predict cardiovascular risk e.g., age and blood pressure.
Even if the idea of detecting the condition of heart only by looking through the eyes might sound a bit unnerving, it definitely draws from a body of established research. The rear interior wall of the eye, known as the fundus, is chock-full of blood vessels that reflect the body’s overall health. So, here, by studying their appearance with camera and microscope, doctors can easily detect things like an individual’s blood pressure, age, and whether or not they smoke, which are all important parameters of cardiovascular health.
As of now for Google, the work represents more than just a new method of judging cardiovascular risk. It definitely paves the way for a new AI-powered paradigm for scientific discovery. While most medical algorithms are built to replicate existing diagnostic tools, this algorithm has discovered ways to analyze existing medical data. With enough data, in all hopes it would create that artificial intelligence, that can be deployed for creating entirely new medical insight without human direction.