Perivascular adipose tissue as a source of therapeutic targets and clinical biomarkers: A clinical consensus statement from the European Society of Cardiology …
Obesity is a modifiable cardiovascular risk factor, but adipose tissue (AT) depots in humans
are anatomically, histologically, and functionally heterogeneous. For example, visceral AT is …
are anatomically, histologically, and functionally heterogeneous. For example, visceral AT is …
Artificial intelligence-based preventive, personalized and precision medicine for cardiovascular disease/stroke risk assessment in rheumatoid arthritis patients: a …
M Al-Maini, M Maindarkar, GD Kitas… - Rheumatology …, 2023 - Springer
The challenges associated with diagnosing and treating cardiovascular disease
(CVD)/Stroke in Rheumatoid arthritis (RA) arise from the delayed onset of symptoms …
(CVD)/Stroke in Rheumatoid arthritis (RA) arise from the delayed onset of symptoms …
Deep-learning for epicardial adipose tissue assessment with computed tomography: implications for cardiovascular risk prediction
HW West, M Siddique, MC Williams, L Volpe… - Cardiovascular …, 2023 - jacc.org
Background Epicardial adipose tissue (EAT) volume is a marker of visceral obesity that can
be measured in coronary computed tomography angiograms (CCTA). The clinical value of …
be measured in coronary computed tomography angiograms (CCTA). The clinical value of …
Artificial intelligence in coronary computed tomography angiography: Demands and solutions from a clinical perspective
Coronary computed tomography angiography (CCTA) is increasingly the cornerstone in the
management of patients with chronic coronary syndromes. This fact is reflected by current …
management of patients with chronic coronary syndromes. This fact is reflected by current …
Beyond high hopes: A scoping review of the 2019–2021 scientific discourse on machine learning in medical imaging
Machine learning has become a key driver of the digital health revolution. That comes with a
fair share of high hopes and hype. We conducted a scoping review on machine learning in …
fair share of high hopes and hype. We conducted a scoping review on machine learning in …
The ultrasound window into vascular ageing: a technology review by the VascAgeNet COST action
Non‐invasive ultrasound (US) imaging enables the assessment of the properties of
superficial blood vessels. Various modes can be used for vascular characteristics analysis …
superficial blood vessels. Various modes can be used for vascular characteristics analysis …
Artificial intelligence in atherosclerotic disease: applications and trends
PN Kampaktsis, M Emfietzoglou, A Al Shehhi… - Frontiers in …, 2023 - frontiersin.org
Atherosclerotic cardiovascular disease (ASCVD) is the most common cause of death
globally. Increasing amounts of highly diverse ASCVD data are becoming available and …
globally. Increasing amounts of highly diverse ASCVD data are becoming available and …
Using artificial intelligence to study atherosclerosis, predict risk and guide treatments in clinical practice
C Antoniades, P Patel, AS Antonopoulos - 2023 - academic.oup.com
Despite advancements in cardiovascular diagnostics and therapeutics over the last few
decades, coronary heart disease is still the number one killer globally. We would all accept …
decades, coronary heart disease is still the number one killer globally. We would all accept …
[HTML][HTML] Generative adversarial network with radiomic feature reproducibility analysis for computed tomography denoising
Background: Most computed tomography (CT) denoising algorithms have been evaluated
using image quality analysis (IQA) methods developed for natural image, which do not …
using image quality analysis (IQA) methods developed for natural image, which do not …
From 'omics to multi-omics technologies: the discovery of novel causal mediators
Abstract Purpose of Review 'Omics studies provide a comprehensive characterisation of a
biological entity, such as the genome, epigenome, transcriptome, proteome, metabolome, or …
biological entity, such as the genome, epigenome, transcriptome, proteome, metabolome, or …