ICT&health January 21, 2026
Researchers in Japan have developed a new artificial intelligence model that can detect prediabetes based on electrocardiograms (ECGs), without the need for blood tests. The model, DiaCardia, analyses both traditional 12-lead ECGs and single-channel ECGs. This offers the prospect of low-threshold, large-scale screening, for example via wearable consumer devices such as smartwatches.
Prediabetes is an important precursor to type 2 diabetes. At this stage, blood sugar levels are already elevated, but not yet high enough for an official diagnosis. It is precisely during this period that timely intervention, for example through lifestyle changes, can significantly delay or even prevent the development of diabetes. In practice, however, prediabetes often goes unnoticed. This is partly because people experience few symptoms, do not...
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