According to the British "Guardian" report on the 23rd, the British National Health Service (NHS) is applying an artificial intelligence (AI) technology called AI-ECG Risk Assessment (AIre) to detect the "death risk level" of heart disease patients. "middle. Aire, trained on data, can detect heart problems that doctors can't detect by reading electrocardiogram results and flag patients who may need further testing or treatment. According to the report, the researchers used 1.16 million electrocardiogram results collected from nearly 190,000 patients to train the Aire model, and published the research results in the top international medical journal "Lancet·Digital Health". The study found that in 78% of cases, the Aire model could correctly identify a patient's risk of death within 10 years after receiving an electrocardiogram. In addition, the model also successfully predicted "whether heart failure will occur in the future" in 79% of cases, "whether severe arrhythmia will occur in the future" in 76%, and "whether cardiovascular and cerebrovascular diseases will occur in the future" in 70% of cases. According to reports, the Aire model will first undergo clinical trials at Imperial College Hospital and Chelsea and Westminster Hospital in the UK, before expanding its scope. It is understood that the first clinical trial will recruit hundreds of patients. Experts at Imperial College Hospital said: "Our vision is that in the future all ECG examinations in hospitals will be conducted through the Aire model. By then, clinicians will not only understand the ECG diagnosis results, but also predict a range of health risks for patients, which means we can Intervene early and prevent such diseases. It is important to note that the Aire model is not intended to replace doctors, but to serve as an aid to help them identify potential risks."