Results 11 to 20 of about 4,274,299 (294)

Artificial intelligence for the echocardiographic assessment of valvular heart disease

open access: yesHeart, 2022
Developments in artificial intelligence (AI) have led to an explosion of studies exploring its application to cardiovascular medicine. Due to the need for training and expertise, one area where AI could be impactful would be in the diagnosis and ...
Rashmi Nedadur, Bo Wang, W. Tsang
semanticscholar   +1 more source

Improvement of a prediction model for heart failure survival through explainable artificial intelligence [PDF]

open access: yesFrontiers in Cardiovascular Medicine, 2021
Cardiovascular diseases and their associated disorder of heart failure (HF) are major causes of death globally, making it a priority for doctors to detect and predict their onset and medical consequences.
Pedro A. Moreno-Sánchez
semanticscholar   +1 more source

Two-Stage Classification Model for the Prediction of Heart Disease Using IoMT and Artificial Intelligence

open access: yesItalian National Conference on Sensors, 2022
Internet of Things (IoT) technology has recently been applied in healthcare systems as an Internet of Medical Things (IoMT) to collect sensor information for the diagnosis and prognosis of heart disease.
Manimurugan Shanmuganathan   +7 more
semanticscholar   +1 more source

Desempenho hemodinâmico e resposta inflamatória durante o uso do DAV-InCor como ponte para o transplante Hemodynamic performance and inflammatory response during the use of VAD-InCor as a bridge to transplant

open access: yesArquivos Brasileiros de Cardiologia, 2008
FUNDAMENTO: O transplante cardíaco enfrenta o grave problema da escassez de doadores. Estima-se que entre 20% e 40% dos pacientes falecem na fila de espera. Para esses pacientes, a utilização de dispositivos de assistência circulatória é, muitas vezes, a
João Galantier   +7 more
doaj   +1 more source

Enhanced accuracy for heart disease prediction using artificial neural network

open access: yesIndonesian Journal of Electrical Engineering and Computer Science, 2022
Making an accurate and timely diagnosis of cardiac disease is critical for preventing and treating heart failure. The accuracy of results produced by traditional machine learning (ML) algorithms is satisfactory.
Raniya Rone Sarra   +2 more
semanticscholar   +1 more source

The Tin Coatings Utilisation As Blood Contact Surface Modification In Implantable Rotary Left Ventricle Assist Device Religaheart Rot

open access: yesArchives of Metallurgy and Materials, 2015
Constructions of the mechanical-bearingless centrifugal blood pumps utilize different types of non-contact physical bearings, which allows to balance the forces that have an impact on the pump impeller, stabilizing its position in the pump house without ...
Kustosz R.   +7 more
doaj   +1 more source

Artificial Intelligence, Wearables and Remote Monitoring for Heart Failure: Current and Future Applications

open access: yesDiagnostics, 2022
Substantial milestones have been attained in the field of heart failure (HF) diagnostics and therapeutics in the past several years that have translated into decreased mortality but a paradoxical increase in HF-related hospitalizations.
Nitesh Gautam   +15 more
semanticscholar   +1 more source

Hydrogel Leclanché Cell: Construction and Characterization

open access: yesEnergies, 2020
A liquid-to-gel based Leclanché cell has been designed, constructed and characterized for use in implantable medical devices and other applications where battery access is limited.
Greg Jenson   +3 more
doaj   +1 more source

The Relationship between Perioperative Blood Transfusion and Postoperative Delirium in Patients Undergoing Spinal Fusion Surgery: Clinical Data Warehouse Analysis

open access: yesMedicina, 2022
Background and Objectives: For preventing postoperative delirium (POD), identifying the risk factors is important. However, the relationship between blood transfusion and POD is still controversial.
Young-Suk Kwon   +3 more
doaj   +1 more source

Artificial Intelligence in Congenital Heart Disease

open access: yesJACC: Advances, 2022
The current era of big data offers a wealth of new opportunities for clinicians to leverage artificial intelligence to optimize care for pediatric and adult patients with a congenital heart disease.
P. Jone   +11 more
semanticscholar   +1 more source

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