Results 21 to 30 of about 4,274,299 (294)
Lessons learned from extracorporeal membrane oxygenation as a bridge to lung transplantation
ScienceOpen Research, 2014 Extracorporeal membrane oxygenation (ECMO) has been used infrequently as a bridge to lung transplantation due to lack of consensus and data regarding the benefits of such a strategy.
Vladimir Shumaster +3 more
doaj +1 more source
Prediction of of heart diseases utilising support vector machine and artificial neural network
Indonesian Journal of Electrical Engineering and Computer Science, 2022 The heart, like a pump, is an organ about the size of a fist, mainly composed of muscle and connective tissue that functions to distribute blood to tissues.
A. Faieq, Maad M. Mijwil
semanticscholar +1 more source
Applied Sciences, 2022 Heart disease is one of the lethal diseases causing millions of fatalities every year. The Internet of Medical Things (IoMT) based healthcare effectively enables a reduction in death rate by early diagnosis and detection of disease.
M. M. Yaqoob +6 more
semanticscholar +1 more source
Archives of Metallurgy and Materials, 2015 The innovative extracorporeal heart support device ReligaHeart (RH EXT) has been developed, based on POLVAD ventricular assist device clinical experience, collected in more than 300 patient applications.
Gonsior M. +3 more
doaj +1 more source
Reviews in cardiovascular medicine, 2021 Artificial Intelligence (AI) performs human intelligence-dependant tasks using tools such as Machine Learning, and its subtype Deep Learning. AI has incorporated itself in the field of cardiovascular medicine, and increasingly employed to revolutionize ...
Farah Yasmin +14 more
semanticscholar +1 more source
Cells, 2023 Mesenchymal stem cells (MSCs) ameliorate T-and B cell-mediated immune responses. In particular, tonsil-MSCs (T-MSCs) are attractive candidates for practical and clinical applications because of their ease of acquisition and relatively low immunogenicity ...
Dong-Kyu Kim +3 more
doaj +1 more source
ECG-AI: electrocardiographic artificial intelligence model for prediction of heart failure
European Heart Journal - Digital Health, 2021 Aims Heart failure (HF) is a leading cause of death. Early intervention is the key to reduce HF-related morbidity and mortality. This study assesses the utility of electrocardiograms (ECGs) in HF risk prediction.
O. Akbilgic +7 more
semanticscholar +1 more source
Heart Diseases Diagnose via Mobile Application
Applied Sciences, 2021 One of the oldest and most common methods of diagnosing heart abnormalities is auscultation. Even for experienced medical doctors, it is not an easy task to detect abnormal patterns in the heart sounds.
Mesut Güven +3 more
doaj +1 more source
Artificial heart transplants [PDF]
British Medical Bulletin, 1997 The use of a mechanical device to support a failing heart is one of the greatest challenges in cardiothoracic practice. Many different approaches are being considered, but they share the use of many advanced engineering principles. Power supplies and the interface between artificial surfaces and the blood remain areas of difficulty.
openaire +2 more sources
Utilizing Artificial Intelligence to Enhance Health Equity Among Patients with Heart Failure
Heart Failure Clinics, 2022 Patients with heart failure (HF) are heterogeneous with various intrapersonal and interpersonal characteristics contributing to clinical outcomes. Bias, structural racism, and social determinants of health have been implicated in unequal treatment of ...
Amber E. Johnson +5 more
semanticscholar +1 more source