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http://dx.doi.org/10.1093/lifemedi/lnae020 | DOI Listing |
Life Med
June 2024
State Key Laboratory of Genetic Engineering, School of Life Sciences, Zhongshan Hospital, Fudan University, Shanghai 200438, China.
Ann Card Anaesth
January 2025
Department of Pediatric Cardiology, Cleveland Clinic Children's, and the Heart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, US.
Curr Cardiol Rep
January 2025
Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Purpose Of Review: Artificial Intelligence (AI) technology will significantly alter critical care cardiology, from our understanding of diseases to the way in which we communicate with patients and colleagues. We summarize the potential applications of AI in the cardiac intensive care unit (CICU) by reviewing current evidence, future developments and possible challenges.
Recent Findings: Machine Learning (ML) methods have been leveraged to improve interpretation and discover novel uses for diagnostic tests such as the ECG and echocardiograms.
Eur J Heart Fail
January 2025
Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy.
Aims: Hyperglycaemic conditions increase cardiac stress, a common phenomenon associated with inflammation, aging, and metabolic imbalance. Sodium-glucose cotransporter 2 inhibitors, a class of anti-diabetic drugs, showed to improve cardiovascular functions although their mechanism of action has not yet been fully established. This study investigated the effects of empagliflozin on cardiomyocytes following high glucose exposure, specifically focusing on inflammatory and metabolic responses.
View Article and Find Full Text PDFInt J Cardiol
January 2025
Department of Cardiology, University of Rennes, CHU Rennes, INSERM, LTSI - UMR 1099, F-35000 Rennes, France.
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