AI-Powered wearables could warn of heart attacks before they happen

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: 1. High-risk population for acute myocardial infarction, previously confirmed by cardiac imaging to have coronary artery disease and at least one of the following risk factors: * Multivessel coronary artery disease (defined as ≥50% stenosis in at least 2 coronary artery regions, including the left main coronary artery) * Previous myocardial infarction * Patients with diabetes currently undergoing glucose-lowering treatment * Chronic kidney disease (CKD) defined as an estimated glomerular filtration rate \<60 mL/min/1.73 m² with a known history of chronic kidney disease or biomarkers indicating chronic kidney damage * Peripheral artery disease, defined as any of the following: ankle-brachial index \<0.85; \>50% stenosis in lower limb arteries confirmed by angiography (invasive or non-invasive) or duplex ultrasound; limb amputation, peripheral artery bypass, or vascular surgery (such as angioplasty or endarterectomy) secondary to ischemia 2. Age ≥18 years 3. Ability to understand and comply with the study protocol and sign the informed consent form Exclusion Criteria: 1. Researchers consider diseases or conditions that are not suitable for participation in this study (such as mental illness, significant cognitive impairment, neurodegenerative diseases, advanced malignant tumors) or situations (such as inability to communicate well with researchers in the local language, unwillingness to comply with study procedures/instructions, inability to understand study-specific training, physically fragile and vulnerable subjects). 2. Participation in a clinical trial involving drugs or devices within 3 months prior to enrollment. 3. Women who are pregnant, planning to become pregnant, or breastfeeding. 4. Known life-threatening diseases with an expected survival of less than 12 months.