AIMC Topic: Cardiovascular System
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Machine Learning for Cardiovascular Biomechanics Modeling: Challenges and Beyond.
Annals of biomedical engineering
Apr 20, 2022
Recent progress in machine learning (ML), together with advanced computational power, have provided new research opportunities in cardiovascular modeling. While classifying patient outcomes and medical image segmentation with ML have already shown si...
Machine Learning in Cardiovascular Imaging.
Heart failure clinics
Mar 4, 2022
The number of cardiovascular imaging studies is growing exponentially, and so is the demand to improve the efficacy of the imaging workflow. Over the past decade, studies have demonstrated that machine learning (ML) holds promise to revolutionize car...
What will we ask to artificial intelligence for cardiovascular medicine in the next decade?
Minerva cardiology and angiology
Oct 29, 2021
Artificial intelligence (AI) comprises a wide range of technologies and methods with heterogeneous degrees of complexity, applications, and abilities. In the cardiovascular field, AI holds the potential to fulfil many unsolved challenges, eventually ...
Analyses of child cardiometabolic phenotype following assisted reproductive technologies using a pragmatic trial emulation approach.
Nature communications
Sep 23, 2021
Assisted reproductive technologies (ART) are increasingly used, however little is known about the long-term health of ART-conceived offspring. Weak selection of comparison groups and poorly characterized mechanisms impede current understanding. In a ...
Deep learning-based framework for cardiac function assessment in embryonic zebrafish from heart beating videos.
Computers in biology and medicine
Jun 11, 2021
Zebrafish is a powerful and widely-used model system for a host of biological investigations, including cardiovascular studies and genetic screening. Zebrafish are readily assessable during developmental stages; however, the current methods for quant...
Blood Biomarkers Predict Cardiac Workload Using Machine Learning.
BioMed research international
Jun 1, 2021
INTRODUCTION: Rate pressure product (the product of heart rate and systolic blood pressure) is a measure of cardiac workload. Resting rate pressure product (rRPP) varies from one individual to the next, but its biochemical/cellular phenotype remains ...
Reply to Higaki-Next Steps in Artificial Intelligence for Cardiovascular Hemodynamics.
The Canadian journal of cardiology
Mar 13, 2021
Editorial commentary: Deep learning in cardiology: All models are wrong, but some are useful.
Trends in cardiovascular medicine
Dec 15, 2020
Using an ontology of the human cardiovascular system to improve the classification of histological images.
Scientific reports
Jul 23, 2020
The advantages of automatically recognition of fundamental tissues using computer vision techniques are well known, but one of its main limitations is that sometimes it is not possible to classify correctly an image because the visual information is ...
Collaborative AI and Laboratory Medicine integration in precision cardiovascular medicine.
Clinica chimica acta; international journal of clinical chemistry
Jun 4, 2020
Artificial Intelligence (AI) is a broad term that combines computation with sophisticated mathematical models and in turn allows the development of complex algorithms which are capable to simulate human intelligence such as problem solving and learni...
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