AIMC Topic: Cardiology
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Machine Learning-Augmented Propensity Score-Adjusted Multilevel Mixed Effects Panel Analysis of Hands-On Cooking and Nutrition Education versus Traditional Curriculum for Medical Students as Preventive Cardiology: Multisite Cohort Study of 3,248 Trainees over 5 Years.
BioMed research international
Apr 15, 2018
BACKGROUND: Cardiovascular disease (CVD) annually claims more lives and costs more dollars than any other disease globally amid widening health disparities, despite the known significant reductions in this burden by low cost dietary changes. The worl...
Machine learning in cardiovascular medicine: are we there yet?
Heart (British Cardiac Society)
Jan 19, 2018
Artificial intelligence (AI) broadly refers to analytical algorithms that iteratively learn from data, allowing computers to find hidden insights without being explicitly programmed where to look. These include a family of operations encompassing sev...
Artificial intelligence in cardiology.
Wiener klinische Wochenschrift
Oct 4, 2017
Decision-making is complex in modern medicine and should ideally be based on available data, structured knowledge and proper interpretation in the context of an individual patient. Automated algorithms, also termed artificial intelligence that are ab...
Robotic technology in interventional cardiology: Current status and future perspectives.
Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions
Aug 10, 2017
Robotic technology has been utilized in cardiovascular medicine for over a decade, and over that period, its use has been expanded to percutaneous coronary and peripheral vascular interventions. The safety and feasibility of robotically assisted perc...
[Artificial intelligence for randomized controlled trials in cardiology: applications and future perspectives].
Giornale italiano di cardiologia (2006)
Aug 1, 2025
Integrating artificial intelligence (AI) into cardiovascular clinical trials is emerging as a key factor in streamlining patient selection, data collection, endpoint monitoring, and outcome analysis. On the one hand, machine learning and deep learnin...
Machine learning-based estimation of occupational radiation dose in interventional cardiology.
Radiation protection dosimetry
Jul 24, 2025
In interventional cardiology, occupational radiation exposure for medical personnel can reach high levels, underscoring the critical need for effective radiation protection and monitoring methods. This study employs machine learning algorithms to est...
Artificial Intelligence in Nuclear Cardiology.
Heart failure clinics
Jul 1, 2025
Artificial intelligence (AI) encompasses a variety of computer algorithms that have a wide range of potential clinical applications in nuclear cardiology. This article will introduce core terminology and concepts for AI including classifications of A...
CRT 2025 late-breaking trials: Key takeaways.
Cardiovascular revascularization medicine : including molecular interventions
Jun 1, 2025
The Cardiovascular Research Technologies (CRT) 2025 conference, a prominent gathering in the field of cardiology, convened more than three thousand attendees from around the world. CRT provides a forum for exemplary education for interventional cardi...
The Benefits and Challenges of Digitally-Enabled Cardiology.
British journal of hospital medicine (London, England : 2005)
May 23, 2025
Digital health technologies, including artificial intelligence, offer immense potential to revolutionise cardiology by improving patient care, enhancing efficiency, and increasing access to specialised services. Benefits may include precision medicin...
Telecardiology unleashed: probing the depths of effectiveness in remote monitoring and telemedicine applications for acute cardiac conditions.
European heart journal. Acute cardiovascular care
May 16, 2025
Telecardiology has emerged as a promising approach in acute cardiac care through advancements in digital health technologies. This review explores the current evidence of telemedicine applications in acute coronary syndrome, arrhythmias, and acute he...
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