AI screens for hypertension and diabetes from short facial videos
A prospective study of 215 participants tested a machine learning system that analyzes spectroscopic images of the face and palms to estimate hypertension and diabetes.
Source: AI screens for hypertension and diabetes from short facial videos (x.com). Summary written with AI from the source and reviewed by rules; read the original.
What the research shows
The prospective study, with 215 participants, reported that a machine learning system using a spectroscopic camera aimed at the face and palms detected hypertension with 95.0% accuracy using 30 seconds of analysis and with 90.3% accuracy using 5 seconds. For diabetes, accuracy was 88.2% with 30 seconds of analysis.
Non-invasive screening tools are an area of strong interest, because measuring blood pressure and blood sugar usually requires devices or blood samples. Still, these are early results from a single study, and high accuracy in a research setting does not guarantee the same performance in other populations or health services. The study's own framing calls for independent validation before any clinical use.
What it means
The research suggests that short videos of the face and palms, analyzed by AI, could one day help flag signs of high blood pressure or abnormal blood sugar. It is not yet known whether the method works well in people different from those studied, or whether it stays accurate outside a research setting.
How to read it with care
This result does not replace a medical visit or a blood pressure or blood sugar test. Anyone with symptoms, or considering changes to diet, supplements or treatment, should talk to a doctor or another qualified health professional.