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An AI-assisted algorithm has been developed to improve the detection of significant coronary artery disease (CAD) in high-risk individuals who have normal electrocardiograms (ECGs). This retrospective study analyzed ECGs from patients aged ≥ 18 years who were undergoing coronary angiography to obtain a clinical diagnosis at Chang Gung Memorial Hospital in Taiwan. Utilizing 12-lead ECG datasets, the algorithm integrated features like time intervals, amplitudes, and slope between peaks, a total of 561 features, with the XGBoost model yielding the best performance.

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Cardiomyocytes can be implanted to remuscularize the failing heart. Challenges include sufficient cardiomyocyte retention for a sustainable therapeutic impact without intolerable side effects, such as arrhythmia and tumour growth. We investigated the hypothesis that epicardial engineered heart muscle (EHM) allografts from induced pluripotent stem cell-derived cardiomyocytes and stromal cells structurally and functionally remuscularize the chronically failing heart without limiting side effects in rhesus macaques.

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Cardiac Positron Emission Tomography (PET) can be used for the assessment of myocardial perfusion. Compared to other cardiac imaging techniques, notably Single Photon Emission Computer Tomography (SPECT), cardiac PET offers superior image resolution, higher accuracy, quantitative measures of myocardial perfusion, lower radiation exposure, and shorter image acquisition time. However, PET tends to be costlier and less widely available than SPECT due to the specialized equipment needed for generating the necessary radiotracers.

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