AIMC Topic: Cardiovascular Diseases
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Opportunistic Screening at Abdominal CT: Use of Automated Body Composition Biomarkers for Added Cardiometabolic Value.
Radiographics : a review publication of the Radiological Society of North America, Inc
Jan 1, 2021
Abdominal CT is a frequently performed imaging examination for a wide variety of clinical indications. In addition to the immediate reason for scanning, each CT examination contains robust additional data on body composition that generally go unused ...
A Review on the Role of Artificial Intelligence in Stem Cell Therapy: An Initiative for Modern Medicines.
Current pharmaceutical biotechnology
Jan 1, 2021
Stem Cells (SCs) show a wide range of applications in the treatment of numerous diseases, including neurodegenerative diseases, diabetes, cardiovascular diseases, cancer, etc. SC related research has gained popularity owing to the unique characterist...
Artificial Neural Networks in Cardiovascular Diseases and its Potential for Clinical Application in Molecular Imaging.
Current radiopharmaceuticals
Jan 1, 2021
In medical imaging, Artificial Intelligence is described as the ability of a system to properly interpret and learn from external data, acquiring knowledge to achieve specific goals and tasks through flexible adaptation. The number of possible applic...
Integration of cardiovascular risk assessment with COVID-19 using artificial intelligence.
Reviews in cardiovascular medicine
Dec 30, 2020
Artificial Intelligence (AI), in general, refers to the machines (or computers) that mimic "cognitive" functions that we associate with our mind, such as "learning" and "solving problem". New biomarkers derived from medical imaging are being discover...
Artificial intelligence in medical imaging: A radiomic guide to precision phenotyping of cardiovascular disease.
Cardiovascular research
Nov 1, 2020
Rapid technological advances in non-invasive imaging, coupled with the availability of large data sets and the expansion of computational models and power, have revolutionized the role of imaging in medicine. Non-invasive imaging is the pillar of mod...
Machine Learning Improves Cardiovascular Risk Definition for Young, Asymptomatic Individuals.
Journal of the American College of Cardiology
Oct 6, 2020
BACKGROUND: Clinical practice guidelines recommend assessment of subclinical atherosclerosis using imaging techniques in individuals with intermediate atherosclerotic cardiovascular risk according to standard risk prediction tools.
Artificial intelligence and cardiovascular imaging: A win-win combination.
Anatolian journal of cardiology
Oct 1, 2020
Rapid development of artificial intelligence (AI) is gaining grounds in medicine. Its huge impact and inevitable necessity are also reflected in cardiovascular imaging. Although AI would probably never replace doctors, it can significantly support an...
Usefulness of machine learning in COVID-19 for the detection and prognosis of cardiovascular complications.
Reviews in cardiovascular medicine
Sep 30, 2020
Since January 2020, coronavirus disease 2019 (COVID-19) has rapidly become a global concern, and its cardiovascular manifestations have highlighted the need for fast, sensitive and specific tools for early identification and risk stratification. Mach...
Artificial intelligence in medical imaging: switching from radiographic pathological data to clinically meaningful endpoints.
The Lancet. Digital health
Sep 1, 2020
Artificial intelligence (AI) is a disruptive technology that involves the use of computerised algorithms to dissect complicated data. Among the most promising clinical applications of AI is diagnostic imaging, and mounting attention is being directed...
Recent Advances of Artificial Intelligence in Cardiovascular Disease.
Journal of biomedical nanotechnology
Jul 1, 2020
Cardiovascular disease (CVD) is one of the most serious health disorders with increasing prevalence and high morbidity and mortality. Although diagnosis and treatment of CVD have achieved huge breakthrough in recent years, it still needs additional e...
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