AIMC Topic: Cardiovascular Diseases
Clear Filters Showing 511 to 520 of 664 articles
Expert consensus document on artificial intelligence of the Italian Society of Cardiology.
Journal of cardiovascular medicine (Hagerstown, Md.)
May 1, 2025
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)
May 1, 2025
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...
Artificial intelligence in cardiovascular practice.
The Nurse practitioner
May 1, 2025
Artificial intelligence (AI) is everywhere, but how is this expansive technology being used in cardiovascular care? This article explores common AI models, how they are transforming healthcare delivery, and important roles for clinicians, including a...
Expanding interpretability through complexity reduction in machine learning-based modelling of cardiovascular disease: A myocardial perfusion imaging PET/CT prognostic study.
European journal of clinical investigation
Apr 1, 2025
BACKGROUND: Machine learning-based analysis can be used in myocardial perfusion imaging data to improve risk stratification and the prediction of major adverse cardiovascular events for patients with suspected or established coronary artery disease. ...
The role of artificial intelligence in cardiovascular research: Fear less and live bolder.
European journal of clinical investigation
Apr 1, 2025
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 ...
Deep learning for electrocardiogram interpretation: Bench to bedside.
European journal of clinical investigation
Apr 1, 2025
BACKGROUND: Recent advancements in deep learning (DL), a subset of artificial intelligence, have shown the potential to automate and improve disease recognition, phenotyping and prediction of disease onset and outcomes by analysing various sources of...
Applications, challenges and future directions of artificial intelligence in cardio-oncology.
European journal of clinical investigation
Apr 1, 2025
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 ...
Machine learning in cardiovascular risk assessment: Towards a precision medicine approach.
European journal of clinical investigation
Apr 1, 2025
Cardiovascular diseases remain the leading cause of global morbidity and mortality. Validated risk scores are the basis of guideline-recommended care, but most scores lack the capacity to integrate complex and multidimensional data. Limitations inher...
Predicting Postoperative Circulatory Complications in Older Patients: A Machine Learning Approach.
Biomedical and environmental sciences : BES
Mar 20, 2025
OBJECTIVE: This study examines utilizes the advantages of machine learning algorithms to discern key determinants in prognosticate postoperative circulatory complications (PCCs) for older patients.
Machine learning-based risk assessment for cardiovascular diseases in patients with chronic lung diseases.
Medicine
Mar 7, 2025
The association between chronic lung diseases (CLDs) and the risk of cardiovascular diseases (CVDs) has been extensively recognized. Nevertheless, conventional approaches for CVD risk evaluation cannot fully capture the risk factors (RFs) related to ...
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 32072
- Neural Networks, Computer 30250
- Algorithms 27438
- Deep Learning 26937
- Artificial Intelligence 24871
- Robotics 13394
- Image Processing, Computer-Assisted 9748
- Retrospective Studies 9362
- Magnetic Resonance Imaging 6353
- Reproducibility of Results 5671
- Tomography, X-Ray Computed 4871
- Support Vector Machine 4774
- Computational Biology 4340
- Brain 4133
- Computer Simulation 3936
Recent Journals
- Scientific reports 6884
- Sensors (Basel, Switzerland) 4794
- PloS one 4220
- Neural networks : the official journal of the International Neural Network Society 3026
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1920
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1378
- IEEE journal of biomedical and health informatics 1181
- Journal of chemical information and modeling 1071
- Nature communications 1054
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 877
- Journal of medical Internet research 869
- IEEE transactions on neural networks and learning systems 856