AIMC Topic: Cardiac Imaging Techniques
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RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin
Jan 31, 2024
The use of weather nowcasting convolutional neural network extrapolators in cardiac PET imaging.
Journal of medical radiation sciences
Jun 28, 2023
INTRODUCTION: Algorithms to predict short-term changes in local weather modalities have been used in meteorology for many years. These algorithms predict the temporospatial change in the movement of weather patterns such as cloud cover or precipitati...
Emerging Roles for Artificial Intelligence in Heart Failure Imaging.
Heart failure clinics
May 10, 2023
Artificial intelligence (AI) applications are expanding in cardiac imaging. AI research has shown promise in workflow optimization, disease diagnosis, and integration of clinical and imaging data to predict patient outcomes. The diagnostic and progno...
Explainable Artificial Intelligence and Cardiac Imaging: Toward More Interpretable Models.
Circulation. Cardiovascular imaging
Apr 12, 2023
Artificial intelligence applications have shown success in different medical and health care domains, and cardiac imaging is no exception. However, some machine learning models, especially deep learning, are considered black box as they do not provid...
The Evolving Role of Artificial Intelligence in Cardiac Image Analysis.
The Canadian journal of cardiology
Oct 4, 2021
Research in artificial intelligence (AI) has progressed over the past decade. The field of cardiac imaging has seen significant developments using newly developed deep learning methods for automated image analysis and AI tools for disease detection a...
Deep learning in spatiotemporal cardiac imaging: A review of methodologies and clinical usability.
Computers in biology and medicine
Dec 24, 2020
The use of different cardiac imaging modalities such as MRI, CT or ultrasound enables the visualization and interpretation of altered morphological structures and function of the heart. In recent years, there has been an increasing interest in AI and...
Prospect of artificial intelligence for the assessment of cardiac function and treatment of cardiovascular disease.
Future cardiology
Sep 16, 2020
Artificial Intelligence and Texture Analysis in Cardiac Imaging.
Current cardiology reports
Sep 10, 2020
PURPOSE OF REVIEW: The aim of this structured review is to summarize the current research applications and opportunities arising from artificial intelligence (AI) and texture analysis with regard to cardiac imaging.
Integration of artificial intelligence into clinical patient management: focus on cardiac imaging.
Revista espanola de cardiologia (English ed.)
Aug 17, 2020
Cardiac imaging is a crucial component in the management of patients with heart disease, and as such it influences multiple, inter-related parts of the clinical workflow: physician-patient contact, image acquisition, image pre- and postprocessing, st...
Standard SPECT myocardial perfusion estimation from half-time acquisitions using deep convolutional residual neural networks.
Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
Apr 28, 2020
INTRODUCTION: The purpose of this work was to assess the feasibility of acquisition time reduction in MPI-SPECT imaging using deep leering techniques through two main approaches, namely reduction of the acquisition time per projection and reduction o...
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