In 2018, Medicare established coverage and reimbursement for its first service using artificial intelligence (AI): computed tomography (CT) fractional flow reserve (FFRCT). FFRCT is used in ...

Abstract: The major contributor to global mortality is cardiovascular disease, posing a formidable challenge to the global healthcare system. Heart disease often develops and progresses without ...

Conclusion: Multi-sensor fusion combined with machine learning (XGBoost, AUC = 0.895) significantly outperforms single-indicator models for fatigue prediction in university soccer players, with ...

Background Machine Learning (ML) has been transformative in healthcare, enabling more precise diagnostics, personalised treatment regimens and enhanced patient care. In cardiology, ML plays a crucial ...

When infectious diseases surge, response often comes down to timing: whether communities can position the right people and supplies before case counts spike. A new tool developed by UC San Diego with ...

Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...

Changes to land use can directly heighten the risk of diseases spreading from animals to humans, new University of Stirling–led research has shown. The study, led by Dr. Adam Fell of the University's ...

Abstract: Artificial intelligence (AI) predictions are widely used to address challenges in the heart health sector, such as providing clinical decision support. Early detection of valvular heart ...

Deaths from both causes are down, but they still eclipse all other causes, according to new statistics. By Nina Agrawal Despite gains in treatment, cardiovascular disease remains the leading cause of ...

Scientists have uncovered why people with chronic kidney disease so often die from heart problems: damaged kidneys release tiny particles into the bloodstream that actively poison the heart. These ...