AIMC Topic: Cardiology

Clear Filters Showing 101 to 110 of 156 articles

[Artificial intelligence for randomized controlled trials in cardiology: applications and future perspectives].

Giornale italiano di cardiologia (2006)
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
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
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
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)
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
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...

Expert consensus document on artificial intelligence of the Italian Society of Cardiology.

Journal of cardiovascular medicine (Hagerstown, Md.)
Artificial intelligence (AI), a branch of computer science focused on developing algorithms that replicate intelligent behaviour, has recently been used in patients management by enhancing diagnostic and prognostic capabilities of various resources s...

[Artificial intelligence in cardiology: definition, types, glossary, algorithms used - opportunities, limitations, development barriers, and challenges].

Giornale italiano di cardiologia (2006)
Artificial intelligence (AI) is revolutionizing cardiology, offering new opportunities to improve diagnosis, therapy, and prevention of cardiovascular diseases. By analyzing large amounts of data and supporting clinical decisions, AI can simplify mod...

The role of artificial intelligence in cardiovascular research: Fear less and live bolder.

European journal of clinical investigation
BACKGROUND: Artificial intelligence (AI) has captured the attention of everyone, including cardiovascular (CV) clinicians and scientists. Moving beyond philosophical debates, modern cardiology cannot overlook AI's growing influence but must actively ...

Applications, challenges and future directions of artificial intelligence in cardio-oncology.

European journal of clinical investigation
BACKGROUND: The management of cardiotoxicity related to cancer therapies has emerged as a significant clinical challenge, prompting the rapid growth of cardio-oncology. As cancer treatments become more complex, there is an increasing need to enhance ...