Computational models in cardiology
The treatment of individual patients in cardiology practice increasingly relies on advanced
imaging, genetic screening and devices. As the amount of imaging and other diagnostic …
imaging, genetic screening and devices. As the amount of imaging and other diagnostic …
Deep learning for cardiovascular medicine: a practical primer
C Krittanawong, KW Johnson… - European heart …, 2019 - academic.oup.com
Deep learning (DL) is a branch of machine learning (ML) showing increasing promise in
medicine, to assist in data classification, novel disease phenotyping and complex decision …
medicine, to assist in data classification, novel disease phenotyping and complex decision …
The 'Digital Twin'to enable the vision of precision cardiology
J Corral-Acero, F Margara, M Marciniak… - European heart …, 2020 - academic.oup.com
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 …
the increasing ability to capture extensive data about individual patients. In this position …
Detection of hypertrophic cardiomyopathy using a convolutional neural network-enabled electrocardiogram
Background Hypertrophic cardiomyopathy (HCM) is an uncommon but important cause of
sudden cardiac death. Objectives This study sought to develop an artificial intelligence …
sudden cardiac death. Objectives This study sought to develop an artificial intelligence …
Development, calibration, and validation of a novel human ventricular myocyte model in health, disease, and drug block
Human-based modelling and simulations are becoming ubiquitous in biomedical science
due to their ability to augment experimental and clinical investigations. Cardiac …
due to their ability to augment experimental and clinical investigations. Cardiac …
Machine learning in the electrocardiogram
The electrocardiogram is the most widely used diagnostic tool that records the electrical
activity of the heart and, therefore, its use for identifying markers for early diagnosis and …
activity of the heart and, therefore, its use for identifying markers for early diagnosis and …
Applications of artificial intelligence in cardiology. The future is already here
PI Dorado-Díaz, J Sampedro-Gómez… - Revista Española de …, 2019 - Elsevier
There is currently no other hot topic like the ability of current technology to develop
capabilities similar to those of human beings, even in medicine. This ability to simulate the …
capabilities similar to those of human beings, even in medicine. This ability to simulate the …
Detection of hypertrophic cardiomyopathy by an artificial intelligence electrocardiogram in children and adolescents
Background There is no established screening approach for hypertrophic cardiomyopathy
(HCM). We recently developed an artificial intelligence (AI) model for the detection of HCM …
(HCM). We recently developed an artificial intelligence (AI) model for the detection of HCM …
[HTML][HTML] Mechanism based therapies enable personalised treatment of hypertrophic cardiomyopathy
Cardiomyopathies have unresolved genotype–phenotype relationships and lack disease-
specific treatments. Here we provide a framework to identify genotype-specific …
specific treatments. Here we provide a framework to identify genotype-specific …
[HTML][HTML] Artificial intelligence and cardiology: Current status and perspective
T Nakamura, T Sasano - Journal of Cardiology, 2022 - Elsevier
The development of artificial intelligence (AI) began in the mid-20th century but has been
rapidly accelerating in the past decade. Reflecting the development of digital health over the …
rapidly accelerating in the past decade. Reflecting the development of digital health over the …