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Total 63 results found since Jan 2013.

Cardiac disease prediction using AI algorithms with SelectKBest
AbstractAtherosclerotic cardiovascular disease (ASCVD), which includes coronary heart disease (CHD) and ischemic stroke, is the leading cause of mortality globally. According to the European Society of Cardiology (ESC), 26 million people worldwide have heart disease, with 3.6 million diagnosed each year. Early detection of heart disease will aid in lowering the mortality rate. The lack of diversity in training data and the difficulty in comprehending the findings of complicated AI models are the key issues in current research for heart disease prediction using artificial intelligence. To overcome this, in this paper, cardi...
Source: Medical and Biological Engineering and Computing - September 8, 2023 Category: Biomedical Engineering Source Type: research

Starting Pediatric VAD Program: Transforming Challenges into Opportunities; A Case Series of a Single Center
CONCLUSIONS: To establish a VAD program, numerous specialties must be included with adequate training and learning for all team members.PMID:37679088 | DOI:10.59958/hsf.5545
Source: The Heart Surgery Forum - September 7, 2023 Category: Cardiovascular & Thoracic Surgery Authors: Matija Bako š Milivoj Novak Dalibor Šarić Dorotea Bartoni ček Dra žen Belina Željko Đurić Darko Ani ć Željko Čolak Sanja Konosi ć Marina Mihalec Filip Rubi ć Toni Mati ć Goran Me đimurec Mislav Planinc Source Type: research

Sensors, Vol. 23, Pages 5618: Automated Signal Quality Assessment of Single-Lead ECG Recordings for Early Detection of Silent Atrial Fibrillation
s D. Zink Atrial fibrillation (AF) is an arrhythmic cardiac disorder with a high and increasing prevalence in aging societies, which is associated with a risk for stroke and heart failure. However, early detection of onset AF can become cumbersome since it often manifests in an asymptomatic and paroxysmal nature, also known as silent AF. Large-scale screenings can help identifying silent AF and allow for early treatment to prevent more severe implications. In this work, we present a machine learning-based algorithm for assessing signal quality of hand-held diagnostic ECG devices to prevent misclassification due to insu...
Source: Sensors - June 15, 2023 Category: Biotechnology Authors: Markus Lueken Michael Gramlich Steffen Leonhardt Nikolaus Marx Matthias D. Zink Tags: Article Source Type: research

Social bias in artificial intelligence algorithms designed to improve cardiovascular risk assessment relative to the Framingham Risk Score: a protocol for a systematic review
This study will employ an equity-lens to identify sources of bias (ie, race/ethnicity, gender and social stratum) in ML algorithms designed to improve CVD risk assessment relative to the FRS. A comprehensive literature search will be completed using MEDLINE, Embase and IEEE to answer the research question: do AI algorithms that are designed for the estimation of CVD risk and that compare performance with the FRS address the sources of bias inherent in the FRS? No study date filters will be imposed on the search, but English language filters will be applied. Studies describing a specific algorithm or ML approach that provid...
Source: BMJ Open - May 31, 2023 Category: General Medicine Authors: Garcha, I., Phillips, S. P. Tags: Open access, General practice / Family practice Source Type: research

Brain health and mental health: Common vascular risk factors and practical implications
Alzheimers Dement. 2023 May 22. doi: 10.1002/alz.13153. Online ahead of print.ABSTRACTThe pandemic dramatized the close links among cognitive, mental, and social health; a change in one reflects others. This realization offers the opportunity to bridge the artificial separation of brain and mental health, as brain disorders have behavioral consequences and behavioral disorders affect the brain. The leading causes of mortality and disability, namely stroke, heart disease, and dementia, share the same risk and protective factors. It is emerging that bipolar disorders, obsessive compulsive disorders, and some depressions shar...
Source: The Journal of Alzheimers Association - May 22, 2023 Category: Psychiatry Authors: Vladimir Hachinski Ennapadam Krishnamoorthy Levent Kuey Laurence J Kirmayer Source Type: research

Diagnosis of Coronary Artery Disease based on Machine Learning algorithms Support Vector Machine, Artificial Neural Network, and Random Forest
CONCLUSION: In this study, it was shown that machine learning algorithms can be used with high accuracy to detect CAD. Thus, it allows physicians to perform timely preventive treatment in patients with CAD.PMID:37057235 | PMC:PMC10086656 | DOI:10.4103/abr.abr_383_21
Source: Adv Data - April 14, 2023 Category: Epidemiology Authors: Saeed Saeedbakhsh Mohammad Sattari Maryam Mohammadi Jamshid Najafian Farzaneh Mohammadi Source Type: research

Estimation of Stroke Risk in Patients with Fabry Disease Using a Machine Learning Model
In this study, the performance of a machine learning platform in estimating FD patients’ 12-month stroke risk was assessed.
Source: The Journal of Heart and Lung Transplantation - April 1, 2023 Category: Transplant Surgery Authors: J. Jefferies, S. Kallish, G. Biondetti, P. Aguiar, M. Nelson, J. Giuliano, J. Zabinksi, C. Boussios, G. Curhan, J. Bandaria, R. Gliklich, D. Warnock Tags: (753) Source Type: research

Sensors, Vol. 23, Pages 3500: A Hybrid Stacked CNN and Residual Feedback GMDH-LSTM Deep Learning Model for Stroke Prediction Applied on Mobile AI Smart Hospital Platform
il Roushdy Artificial intelligence (AI) techniques for intelligent mobile computing in healthcare has opened up new opportunities in healthcare systems. Combining AI techniques with the existing Internet of Medical Things (IoMT) will enhance the quality of care that patients receive at home remotely and the successful establishment of smart living environments. Building a real AI for mobile AI in an integrated smart hospital environment is a challenging problem due to the complexities of receiving IoT medical sensors data, data analysis, and deep learning algorithm complexity programming for mobile AI engine implementa...
Source: Sensors - March 27, 2023 Category: Biotechnology Authors: Bassant M. Elbagoury Luige Vladareanu Victor Vl ădăreanu Abdel Badeeh Salem Ana-Maria Travediu Mohamed Ismail Roushdy Tags: Article Source Type: research