Results 21 to 30 of about 3,812,853 (308)

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.
M. Shanmuganathan   +7 more
semanticscholar   +1 more source

Modified Artificial Bee Colony Based Feature Optimized Federated Learning for Heart Disease Diagnosis in Healthcare

open access: yesApplied 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

Artificial intelligence in the diagnosis and detection of heart failure: the past, present, and future.

open access: yesReviews 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

Artificial Intelligence-Enabled Assessment of the Heart Rate Corrected QT Interval Using a Mobile Electrocardiogram Device.

open access: yesCirculation, 2021
Background: Heart rate-corrected QT interval (QTc) prolongation, whether secondary to drugs, genetics including congenital long QT syndrome (LQTS), and/or systemic diseases including SARS-CoV-2-mediated COVID19, can predispose to ventricular arrhythmias ...
M. P. John R. Giudicessi   +13 more
semanticscholar   +1 more source

ECG-AI: electrocardiographic artificial intelligence model for prediction of heart failure

open access: yesEuropean 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

Biocompatible Evaluation Of Biomaterials Used In The New Polish Extracorporeal Pulsatile Heart Assist Device ReligaHeart EXT

open access: yesArchives 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

Heart Diseases Diagnose via Mobile Application

open access: yesApplied 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]

open access: yesBritish 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

Differentiating malignant and benign eyelid lesions using deep learning

open access: yesScientific Reports, 2023
Artificial intelligence as a screening tool for eyelid lesions will be helpful for early diagnosis of eyelid malignancies and proper decision-making. This study aimed to evaluate the performance of a deep learning model in differentiating eyelid lesions ...
Min Joung Lee   +10 more
doaj   +1 more source

Glaucoma Is Associated with the Risk of Obstructive Sleep Apnea: A Population-Based Nationwide Cohort Study

open access: yesDiagnostics, 2022
The association between glaucoma and the risk of obstructive sleep apnea (OSA) has not been fully evaluated. Therefore, this study aimed to investigate the prospective association between glaucoma and OSA.
So Yeon Lee, Hyunjae Yu, Dong-Kyu Kim
doaj   +1 more source

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