AIMC Topic: Cardiovascular Diseases
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Sex and population differences in the cardiometabolic continuum: a machine learning study using the UK Biobank and ELSA-Brasil cohorts.
BMC public health
Aug 6, 2024
BACKGROUND: The temporal relationships across cardiometabolic diseases (CMDs) were recently conceptualized as the cardiometabolic continuum (CMC), sequence of cardiovascular events that stem from gene-environmental interactions, unhealthy lifestyle i...
Improving cardiovascular risk prediction with machine learning: a focus on perivascular adipose tissue characteristics.
Biomedical engineering online
Aug 5, 2024
BACKGROUND: Timely prevention of major adverse cardiovascular events (MACEs) is imperative for reducing cardiovascular diseases-related mortality. Perivascular adipose tissue (PVAT), the adipose tissue surrounding coronary arteries, has attracted inc...
Pitfalls in Developing Machine Learning Models for Predicting Cardiovascular Diseases: Challenge and Solutions.
Journal of medical Internet research
Jul 26, 2024
In recent years, there has been explosive development in artificial intelligence (AI), which has been widely applied in the health care field. As a typical AI technology, machine learning models have emerged with great potential in predicting cardiov...
Transforming Echocardiography: The Role of Artificial Intelligence in Enhancing Diagnostic Accuracy and Accessibility.
Internal medicine (Tokyo, Japan)
Jul 25, 2024
Artificial intelligence (AI) has shown transformative potential in various medical fields, including diagnostic imaging. Recent advances in AI-driven technologies have opened new avenues for improving echocardiographic practices. AI algorithms enhanc...
Unlocking Tomorrow's Health Care: Expanding the Clinical Scope of Wearables by Applying Artificial Intelligence.
The Canadian journal of cardiology
Jul 25, 2024
As an integral aspect of health care, digital technology has enabled modelling of complex relationships to detect, screen, diagnose, and predict patient outcomes. With massive data sets, artificial intelligence (AI) can have marked effects on 3 level...
Use of Artificial Intelligence Including Multimodal Systems to Improve the Management of Cardiovascular Disease.
The Canadian journal of cardiology
Jul 20, 2024
The rising prevalence of cardiovascular disease presents an escalating challenge for current health services, which are grappling with increasing demands. Innovative changes are imperative to sustain the delivery of high-quality patient care. Recent ...
Ethical Challenges and Opportunities in Applying Artificial Intelligence to Cardiovascular Medicine.
The Canadian journal of cardiology
Jul 20, 2024
Much anticipation surrounds artificial intelligence's (AI) emergence as a promising tool in health care. It offers potential to revolutionise clinical practice through assistive and autonomous operation. The high prevalence of cardiac disease globall...
Assessing the response quality and readability of chatbots in cardiovascular health, oncology, and psoriasis: A comparative study.
International journal of medical informatics
Jul 19, 2024
BACKGROUND: Chatbots using the Large Language Model (LLM) generate human responses to questions from all categories. Due to staff shortages in healthcare systems, patients waiting for an appointment increasingly use chatbots to get information about ...
Can Artificial Intelligence Change our Interpretation of Cardiovascular Risk Scores?
Arquivos brasileiros de cardiologia
Jul 19, 2024
A Systematic Review of Artificial Intelligence Models for Time-to-Event Outcome Applied in Cardiovascular Disease Risk Prediction.
Journal of medical systems
Jul 19, 2024
Artificial intelligence (AI) based predictive models for early detection of cardiovascular disease (CVD) risk are increasingly being utilised. However, AI based risk prediction models that account for right-censored data have been overlooked. This sy...
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