Precision Medicine in Interventional Cardiology
Interventional Cardiology, 2019 Precision medicine has recently become widely advocated. It revolves around the individual patient, taking into account genetic, biomarker, phenotypic or psychosocial characteristics and uses biological, mechanical and/or personal variables to optimise ...
T. Hokken +3 more
semanticscholar +1 more source
Catheter steering in interventional cardiology: Mechanical analysis and novel solution
Proceedings of the Institution of mechanical engineers. Part H, journal of engineering in medicine, 2019 In recent years, steerable catheters have been developed to combat the effects of the dynamic cardiac environment. Mechanically actuated steerable catheters appear the most in the clinical setting; however, they are bound to a number of mechanical ...
Awaz Ali +6 more
semanticscholar +1 more source
On a Transmission Problem Related to Models of Electrocardiology [PDF]
arXiv, 2020 We a generalization of transmission problems for elliptic matrix operators related to the mathematical models of cardiology. We indicate sufficient conditions providing that the approach elaborated for scalar elliptic operators is still valid in this much more general situation.
arxiv
Goal-conditioned reinforcement learning for ultrasound navigation guidance [PDF]
arXivTransesophageal echocardiography (TEE) plays a pivotal role in cardiology for diagnostic and interventional procedures. However, using it effectively requires extensive training due to the intricate nature of image acquisition and interpretation. To enhance the efficiency of novice sonographers and reduce variability in scan acquisitions, we propose a ...
arxiv
Synthetic Data and Health Privacy [PDF]
This Viewpoint discusses generative artificial intelligence and safeguarding privacy by using synthetic data as a substitute for private health data.
arxiv +1 more source
The Synchrosqueezing transform for instantaneous spectral analysis [PDF]
arXiv, 2014 The Synchrosqueezing transform is a time-frequency analysis method that can decompose complex signals into time-varying oscillatory components. It is a form of time-frequency reassignment that is both sparse and invertible, allowing for the recovery of the signal.
arxiv
P-Mamba: Marrying Perona Malik Diffusion with Mamba for Efficient Pediatric Echocardiographic Left Ventricular Segmentation [PDF]
arXivIn pediatric cardiology, the accurate and immediate assessment of cardiac function through echocardiography is crucial since it can determine whether urgent intervention is required in many emergencies. However, echocardiography is characterized by ambiguity and heavy background noise interference, causing more difficulty in accurate segmentation ...
arxiv
An AI-Driven Live Systematic Reviews in the Brain-Heart Interconnectome: Minimizing Research Waste and Advancing Evidence Synthesis [PDF]
arXivThe Brain-Heart Interconnectome (BHI) combines neurology and cardiology but is hindered by inefficiencies in evidence synthesis, poor adherence to quality standards, and research waste. To address these challenges, we developed an AI-driven system to enhance systematic reviews in the BHI domain.
arxiv
A Joint Representation Using Continuous and Discrete Features for Cardiovascular Diseases Risk Prediction on Chest CT Scans [PDF]
arXivCardiovascular diseases (CVD) remain a leading health concern and contribute significantly to global mortality rates. While clinical advancements have led to a decline in CVD mortality, accurately identifying individuals who could benefit from preventive interventions remains an unsolved challenge in preventive cardiology.
arxiv