Proceedings of the NHLBI workshop on artificial Intelligence in cardiovascular imaging: translation to patient care

D Dey, R Arnaout, S Antani, A Badano, L Jacques… - Cardiovascular …, 2023 - jacc.org
Artificial intelligence (AI) promises to revolutionize many fields, but its clinical
implementation in cardiovascular imaging is still rare despite increasing research. We …

[HTML][HTML] Automatic detection of vessel structure by deep learning using intravascular ultrasound images of the coronary arteries

H Shinohara, S Kodera, K Ninomiya, M Nakamoto… - Plos one, 2021 - journals.plos.org
Intravascular ultrasound (IVUS) is a diagnostic modality used during percutaneous coronary
intervention. However, specialist skills are required to interpret IVUS images. To address this …

[HTML][HTML] Artificial intelligence based multimodality imaging: a new frontier in coronary artery disease management

R Maragna, CM Giacari, M Guglielmo… - Frontiers in …, 2021 - frontiersin.org
Coronary artery disease (CAD) represents one of the most important causes of death around
the world. Multimodality imaging plays a fundamental role in both diagnosis and risk …

[HTML][HTML] Artificial intelligence and machine learning in cardiovascular imaging

K Seetharam, JK Min - Methodist DeBakey Cardiovascular Journal, 2020 - ncbi.nlm.nih.gov
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 …

Application and translation of artificial intelligence to cardiovascular imaging in nuclear medicine and noncontrast CT

PJ Slomka, RJH Miller, I Isgum, D Dey - Seminars in Nuclear Medicine, 2020 - Elsevier
Myocardial perfusion imaging with single photon emission computed tomography or
positron emission tomography is commonly used for diagnosis and risk stratification in …

Machine intelligence in cardiovascular medicine

DD Miller - Cardiology in review, 2020 - journals.lww.com
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 …

Artificial intelligence in medicine and cardiac imaging: harnessing big data and advanced computing to provide personalized medical diagnosis and treatment

SE Dilsizian, EL Siegel - Current cardiology reports, 2014 - Springer
Although advances in information technology in the past decade have come in quantum
leaps in nearly every aspect of our lives, they seem to be coming at a slower pace in the field …

[HTML][HTML] Real-world and regulatory perspectives of artificial intelligence in cardiovascular imaging

E Wellnhofer - Frontiers in Cardiovascular Medicine, 2022 - frontiersin.org
Recent progress in digital health data recording, advances in computing power, and
methodological approaches that extract information from data as artificial intelligence are …

[HTML][HTML] CT​ evaluation​ by​ artificial​ intelligence​ for​ atherosclerosis, stenosis and vascular​ morphology​(CLARIFY):​ a​ multi-center, international study

AD Choi, H Marques, V Kumar, WF Griffin… - Journal of …, 2021 - Elsevier
Background Atherosclerosis evaluation by coronary computed tomography angiography
(CCTA) is promising for coronary artery disease (CAD) risk stratification, but time consuming …

[HTML][HTML] Artificial intelligence in coronary CT angiography: current status and future prospects

J Liao, L Huang, M Qu, B Chen… - Frontiers in Cardiovascular …, 2022 - frontiersin.org
Coronary heart disease (CHD) is the leading cause of mortality in the world. Early detection
and treatment of CHD are crucial. Currently, coronary CT angiography (CCTA) has been the …