Results 151 to 160 of about 2,997,712 (340)

Artificial intelligence‐assisted design, synthesis and analysis of smart biomaterials

open access: yesBMEMat, EarlyView.
Smart biomaterials are rapidly emerging as tools for tissue engineering, and artificial intelligence has played essential roles in biomaterial studies. By bridging the literature gap in AI‐based design, synthesis and analysis of smart biomaterials, the current review shares perspectives on how biomaterial scientists can practically incorporate AI for ...
Pengfei Jiang   +9 more
wiley   +1 more source

Exploration of therapeutic models for psycho-cardiology: From cardiac to psychological rehabilitation

open access: yesHeliyon
The prevalence and mortality of cardiovascular disease are relatively high. Currently, depression has been proven to be an independent risk factor for the occurrence and poor prognosis of cardiovascular disease.
Yu Ren   +4 more
doaj  

Anatomical description of malformations of the neck of the left atrial appendage

open access: yesClinical Anatomy, EarlyView.
Abstract The recently‐described left atrial appendage (LAA) neck is a truncated cone‐shaped structure that connects the LAA orifice to its lobe. It shows malformations in some cases, but their exact description and clinical significance are unknown. Therefore, the aim of this study was to provide a detailed anatomical and morphometric analysis of LAA ...
Jakub Batko   +10 more
wiley   +1 more source

Eye2Heart : a validated lumped-parameter model bridging cardiovascular and ocular dynamics [PDF]

open access: yesarXiv
The cardiovascular and ocular systems are intricately connected, with hemodynamic interactions playing a crucial role in both physiological regulation and pathological conditions. However, existing models often treat these systems separately, limiting the understanding of their interdependence.
arxiv  

Evaluating the Efficacy of Vectocardiographic and ECG Parameters for Efficient Tertiary Cardiology Care Allocation Using Decision Tree Analysis [PDF]

open access: yesarXiv
Use real word data to evaluate the performance of the electrocardiographic markers of GEH as features in a machine learning model with Standard ECG features and Risk Factors in Predicting Outcome of patients in a population referred to a tertiary cardiology hospital.
arxiv  

Predicting cardiovascular risk in diabetic patients: arewe all on the same side? [PDF]

open access: yes, 2017
Cardiovascular diseases are the main reason for morbidity and mortality in diabetic patients, and cardiovascular risk is increased at least twofold in men and at least fourfold in women with diabetes compared to non-diabetic populations.
Smokovski, Ivica
core  

Electrocardiogram Features in Non-Cardiac Diseases: From Mechanisms to Practical Aspects

open access: yesJournal of Multidisciplinary Healthcare
Alexandr Ceasovschih,1,2,* Victorița Șorodoc,1,2 Serghei Covantsev,3,* Anastasia Balta,1,2,* Jamol Uzokov,4,* Sergio E Kaiser,5 Abdallah Almaghraby,6 Cătălina Lionte,1,2 Cristian Stătescu,1,7 Radu A Sascău,1,7 ...
Ceasovschih A   +17 more
doaj  

QT and Tpeak‐Tend interval variability: Predictive electrical markers of hospital stay length and mortality in acute decompensated heart failure. Preliminary data

open access: yesClinical Cardiology, Volume 45, Issue 12, Page 1192-1198, December 2022., 2022
Abstract Background As previously reported, an increased repolarization temporal imbalance induces a higher risk of total/cardiovascular mortality. Hypothesis The aim of this study was to assess if the electrocardiographic short period markers of repolarization temporal dispersion could be predictive of the hospital stay length and mortality in ...
Gianfranco Piccirillo   +11 more
wiley   +1 more source

CNN Based Detection of Cardiovascular Diseases from ECG Images [PDF]

open access: yesarXiv
This study develops a Convolutional Neural Network (CNN) model for detecting myocardial infarction (MI) from Electrocardiogram (ECG) images. The model, built using the InceptionV3 architecture and optimized through transfer learning, was trained using ECG data obtained from the Ch. Pervaiz Elahi Institute of Cardiology in Pakistan. The dataset includes
arxiv  

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