AIMC Topic: Cardiovascular Diseases
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The use of artificial intelligence to identify ophthalmic biomarkers in cardiovascular disease and stroke: a narrative review.
Sao Paulo medical journal = Revista paulista de medicina
Jan 1, 2025
BACKGROUND: Cardiovascular disease (CVD) and stroke are among the leading causes of death worldwide.
Enhancing Patient Education on Cardiovascular Rehabilitation with Large Language Models.
Missouri medicine
Jan 1, 2025
INTRODUCTION: There are barriers that exist for individuals to adhere to cardiovascular rehabilitation programs. A key driver to patient adherence is appropriately educating patients. A growing education tool is using large language models to answer ...
Determinants of developing cardiovascular disease risk with emphasis on type-2 diabetes and predictive modeling utilizing machine learning algorithms.
Medicine
Dec 6, 2024
This research aims to enhance our comprehensive understanding of the influence of type-2 diabetes on the development of cardiovascular diseases (CVD) risk, its underlying determinants, and to construct precise predictive models capable of accurately ...
[Applications, challenges and future prospects of artificial intelligence in critical and acute cardiovascular care].
Zhonghua xin xue guan bing za zhi
Nov 24, 2024
[Artificial intelligence in the diagnosis and treatment of cardiovascular diseases].
Zhonghua xin xue guan bing za zhi
Nov 24, 2024
Artificial Intelligence in Cardiovascular Clinical Trials.
Journal of the American College of Cardiology
Nov 12, 2024
Randomized clinical trials are the gold standard for establishing the efficacy and safety of cardiovascular therapies. However, current pivotal trials are expensive, lengthy, and insufficiently diverse. Emerging artificial intelligence (AI) technolog...
Artificial intelligence-enabled electrocardiogram for mortality and cardiovascular risk estimation: a model development and validation study.
The Lancet. Digital health
Nov 1, 2024
BACKGROUND: Artificial intelligence (AI)-enabled electrocardiography (ECG) can be used to predict risk of future disease and mortality but has not yet been adopted into clinical practice. Existing model predictions do not have actionability at an ind...
Tailoring Risk Prediction Models to Local Populations.
JAMA cardiology
Nov 1, 2024
IMPORTANCE: Risk estimation is an integral part of cardiovascular care. Local recalibration of guideline-recommended models could address the limitations of existing tools.
Evaluation of deep learning estimation of whole heart anatomy from automated cardiovascular magnetic resonance short- and long-axis analyses in UK Biobank.
European heart journal. Cardiovascular Imaging
Sep 30, 2024
AIMS: Standard methods of heart chamber volume estimation in cardiovascular magnetic resonance (CMR) typically utilize simple geometric formulae based on a limited number of slices. We aimed to evaluate whether an automated deep learning neural netwo...
Shaping the future of heart health.
Med (New York, N.Y.)
Sep 13, 2024
For World Heart Day on September 24, 2024, the World Heart Federation urges nations to endorse national strategies for enhancing cardiovascular health. While advancements show promise in reducing atherosclerosis, addressing healthcare inequalities an...
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