AIMC Topic: Cardiology

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Technical and practical aspects of artificial intelligence in cardiology.

Bratislavske lekarske listy Jan 1, 2022
Artificial intelligence (AI) is here to stay. It is not a future anymore, and there are many particular problems in cardiology that are already being solved via machine learning (ML), and many more are to come. AI cannot solve complex tasks yet, and ...
Cardiology Algorithms Phenotype Artificial Intelligence Machine Learning
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The Emergence of Artificial Intelligence in Cardiology: Current and Future Applications.

Current cardiology reviews Jan 1, 2022
Artificial intelligence technology is emerging as a promising entity in cardiovascular medicine, potentially improving diagnosis and patient care. In this article, we review the literature on artificial intelligence and its utility in cardiology. We ...
Humans Algorithms Artificial Intelligence Cardiology Machine Learning
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Deep learning and the electrocardiogram: review of the current state-of-the-art.

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology Aug 6, 2021
In the recent decade, deep learning, a subset of artificial intelligence and machine learning, has been used to identify patterns in big healthcare datasets for disease phenotyping, event predictions, and complex decision making. Public datasets for ...
Electrocardiography Machine Learning Cardiology Humans Deep Learning Artificial Intelligence
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Meeting the unmet needs of clinicians from AI systems showcased for cardiology with deep-learning-based ECG analysis.

Proceedings of the National Academy of Sciences of the United States of America Jun 15, 2021
Despite their great promise, artificial intelligence (AI) systems have yet to become ubiquitous in the daily practice of medicine largely due to several crucial unmet needs of healthcare practitioners. These include lack of explanations in clinically...
ROC Curve Electrocardiography Deep Learning Time Factors Cardiology Uncertainty Statistics as Topic Models, Cardiovascular Artificial Intelligence Algorithms Physicians Reproducibility of Results Humans
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[Progress in cardiac imaging: from echocardiography to multimodality imaging].

Giornale italiano di cardiologia (2006) Feb 1, 2021
In the last few decades, echocardiography has represented one of the technological fields with the fastest evolution and progress. As a non-invasive method at relative low cost, it is also suitable for the future to an increasingly integrated use in ...
Cardiology Echocardiography Multimodal Imaging Humans Artificial Intelligence Reproducibility of Results
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Machine Learning and the Future of Cardiovascular Care: JACC State-of-the-Art Review.

Journal of the American College of Cardiology Jan 26, 2021
The role of physicians has always been to synthesize the data available to them to identify diagnostic patterns that guide treatment and follow response. Today, increasingly sophisticated machine learning algorithms may grow to support clinical exper...
Machine Learning Cardiology Humans
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Artificial Neural Networks in Cardiovascular Diseases and its Potential for Clinical Application in Molecular Imaging.

Current radiopharmaceuticals Jan 1, 2021
In medical imaging, Artificial Intelligence is described as the ability of a system to properly interpret and learn from external data, acquiring knowledge to achieve specific goals and tasks through flexible adaptation. The number of possible applic...
Nuclear Medicine Humans Artificial Intelligence Molecular Imaging Prognosis Cardiology Cardiovascular Diseases
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The 'Digital Twin' to enable the vision of precision cardiology.

European heart journal Dec 21, 2020
Providing therapies tailored to each patient is the vision of precision medicine, enabled by the increasing ability to capture extensive data about individual patients. In this position paper, we argue that the second enabling pillar towards this vis...
Cardiology Humans Algorithms Artificial Intelligence Precision Medicine
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Formal representation of patients' care context data: the path to improving the electronic health record.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2020
OBJECTIVE: To develop a collection of concept-relationship-concept tuples to formally represent patients' care context data to inform electronic health record (EHR) development.
Natural Language Processing Cardiology Otolaryngology Humans Decision Making, Computer-Assisted Artificial Intelligence Electronic Health Records
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The Next Frontier in Pediatric Cardiology: Artificial Intelligence.

Pediatric clinics of North America Oct 1, 2020
Artificial intelligence (AI) in the last decade centered primarily around digitizing and incorporating the large volumes of patient data from electronic health records. AI is now poised to make the next step in health care integration, with precision...
Electronic Health Records Child Cardiology Humans Algorithms Artificial Intelligence Precision Medicine
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