Preliminary research has found that a new system which combines an AI-powered algorithm with high-speed video may simplify screening for type 1 and 2 diabetes as well as high blood pressure. This system promotes no-contact screenings by eliminating the need for blood pressure cuffs, blood tests and other wearable devices.
Diabetes and high blood pressure are chronic conditions that are known to mildly alter blood flow in an individual’s hands and face.
For their research, the investigators recruited 215 adults diagnosed with diabetes and/or high blood pressure. They began by assessing a high-speed video camera’s effectiveness in capturing both palm and face recordings at a rate of 150 frames per second. Once this was done, they used wavelength data to identify pulse waves then an artificial intelligence algorithm to detect diabetes and high blood pressure from the skin features captured by video.
From their analysis, they determined that the system was 94% accurate in the detection of hypertension (stage 1). This is in comparison with blood pressure values from a blood pressure monitor.
They also found that the system was 75% accurate in recognizing patients who had diabetes. This is in comparison with results from a haemoglobin A1c blood test, which is normally used to diagnose and monitor diabetes. Additionally, the investigators determined that the system was 86% accurate in identifying when blood pressure was above normal.
The study’s author Ryoko Uchida stated that changes in blood flow was a diabetes hallmark, which made it easier to use the algorithm to detect the condition. She explained that some steps needed to be taken before this system could be used outside of a research setting. For instance, an algorithm which considered irregular heartbeats needed to be incorporated for better detection of hypertension.
She hopes that this technique may someday aid in the early detection and treatment of diabetes and high blood pressure for those who avoid blood tests and medical exams, and allow individuals to monitor their health in the comfort of their homes.
The investigators are currently focused on improving the system’s accuracy of diabetes detection. Once they’ve achieved this, they hope to obtain approval from the FDA for a diabetes detection device that can be used at home.
The research’s findings will be presented at the Scientific Sessions 2024 conference held by the American Heart Association. The conference will take place in Chicago and run from November 16th to 18th.
The use of advanced technologies in healthcare isn’t new, and companies like Apple Inc. (NASDAQ: AAPL) have over the years carved out a reputation for providing wearables that help users get early indicators about changes in their biomarkers or the development of new ailments. The use of AI to non-invasively diagnose diabetes and high blood pressure isn’t therefore going to be an entirely new thing.
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