AIMC Topic: Cardiovascular Diseases

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A machine-learning approach to cardiovascular risk prediction in psoriatic arthritis.

Rheumatology (Oxford, England) Jul 1, 2020
Cardiovascular Diseases Risk Assessment Arthritis, Psoriatic Humans Machine Learning Algorithms
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Classification Techniques for Cardio-Vascular Diseases Using Supervised Machine Learning.

Medical archives (Sarajevo, Bosnia and Herzegovina) Feb 1, 2020
INTRODUCTION: The World Health Organization has estimated that 12 million deaths occur worldwide, every year due to Heart diseases. Half the deaths in the developed countries are due to cardiovascular diseases. The early prognosis of cardiovascular d...
Humans Female Cardiovascular Diseases Middle Aged Supervised Machine Learning Terminology as Topic Aged Aged, 80 and over Adult Male Diagnostic Techniques, Cardiovascular
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Artificial Intelligence and Machine Learning in Cardiovascular Imaging.

Methodist DeBakey cardiovascular journal Jan 1, 2020
Cardiovascular disease is the leading cause of mortality in Western countries and leads to a spectrum of complications that can complicate patient management. The emergence of artificial intelligence (AI) has garnered significant interest in many ind...
Humans Deep Learning Predictive Value of Tests Image Interpretation, Computer-Assisted Cardiac Imaging Techniques Machine Learning Reproducibility of Results Cardiovascular Diseases Diagnosis, Computer-Assisted
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Artificial Intelligence in Cardiovascular Imaging.

Methodist DeBakey cardiovascular journal Jan 1, 2020
The number of cardiovascular imaging studies is growing exponentially, and so is the need to improve clinical workflow efficiency and avoid missed diagnoses. With the availability and use of large datasets, artificial intelligence (AI) has the potent...
Humans Machine Learning Cardiovascular Diseases Diagnosis, Computer-Assisted Multimodal Imaging Predictive Value of Tests Image Interpretation, Computer-Assisted Cardiac Imaging Techniques
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Machine Intelligence in Cardiovascular Medicine.

Cardiology in review Jan 1, 2020
The computer science technology trend called artificial intelligence (AI) is not new. Both machine learning and deep learning AI applications have recently begun to impact cardiovascular medicine. Scientists working in the AI domain have long recogni...
Artificial Intelligence Machine Learning Cardiovascular Diseases Humans Cardiology Neural Networks, Computer
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Integrating blockchain technology with artificial intelligence for cardiovascular medicine.

Nature reviews. Cardiology Jan 1, 2020
Artificial intelligence (AI) holds promise for cardiovascular medicine but is limited by a lack of large, heterogeneous and granular data sets. Blockchain provides secure interoperability between siloed stakeholders and centralized data sources. We d...
Systems Integration Blockchain Data Mining Health Information Management Therapy, Computer-Assisted Humans Artificial Intelligence Decision Support Techniques Cardiovascular Diseases Diagnosis, Computer-Assisted
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Sodium glucose co-transporter 2 inhibitors and cardiovascular event protections: how applicable are clinical trials and observational studies to real-world patients?

BMJ open diabetes research & care Dec 1, 2019
OBJECTIVE: This study evaluated the characteristics of new users of sodium glucose co-transporter 2 inhibitors (SGLT2i) in clinical practice to assess the applicability of the findings from clinical trials (Empagliflozin, Cardiovascular Outcomes and ...
Bridged Bicyclo Compounds, Heterocyclic Canagliflozin Clinical Trials as Topic Diabetic Angiopathies Glucosides Benzhydryl Compounds Practice Patterns, Physicians' Sodium-Glucose Transporter 2 Inhibitors Cardiovascular Diseases Middle Aged Blood Glucose Cohort Studies Aged Humans Diabetes Mellitus, Type 2 Aged, 80 and over Retrospective Studies Observational Studies as Topic Adult Female Glycated Hemoglobin Male
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Artificial intelligence in the diagnosis of cardiovascular disease.

Revista da Associacao Medica Brasileira (1992) Dec 1, 2019
Artificial intelligence (AI) is a field of computer science that aims to mimic human thought processes. AI techniques have been applied in cardiovascular medicine to explore novel genotypes and phenotypes in existing diseases, improve the quality of ...
Algorithms Precision Medicine Cardiovascular Diseases Big Data Unsupervised Machine Learning Supervised Machine Learning Humans Artificial Intelligence
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Rise of Robot Radiologists.

Nature Dec 1, 2019
Uncertainty Confounding Factors, Epidemiologic Cell Phone Tuberculosis United States Food and Drug Administration Datasets as Topic Practice Guidelines as Topic Radiologists Healthcare Disparities Retina Humans Diabetic Retinopathy Diagnosis, Computer-Assisted Deep Learning Sensitivity and Specificity United States Tomography, X-Ray Computed Triage Diagnostic Errors Mammography Clinical Decision-Making Breast Neoplasms Robotics Female Cardiovascular Diseases Radiology Bias
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Multidimensional Sleep and Mortality in Older Adults: A Machine-Learning Comparison With Other Risk Factors.

The journals of gerontology. Series A, Biological sciences and medical sciences Nov 13, 2019
BACKGROUND: Sleep characteristics related to duration, timing, continuity, and sleepiness are associated with mortality in older adults, but rarely considered in health recommendations. We applied machine learning to: (i) establish the predictive abi...
Survival Analysis Sleep Cardiovascular Diseases Cause of Death Self Report Risk Factors Humans Aged Machine Learning Aged, 80 and over Female Male
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