[HTML][HTML] Impact of magnetic resonance imaging on healthcare in low-and middle-income countries

BS Hilabi, SA Alghamdi, M Almanaa - Cureus, 2023 - ncbi.nlm.nih.gov
Magnetic resonance imaging (MRI) played a significant role in the digital health platforms
that influenced and supported modern medicine. However, there is a shortage of MRI in low …

Artificial intelligence in coronary computed tomography angiography: Demands and solutions from a clinical perspective

B Baeßler, M Götz, C Antoniades… - Frontiers in …, 2023 - frontiersin.org
Coronary computed tomography angiography (CCTA) is increasingly the cornerstone in the
management of patients with chronic coronary syndromes. This fact is reflected by current …

Recent advances in deformation-assisted microfluidic cell sorting technologies

J Sun, X Huang, J Chen, R Xiang, X Ke, S Lin, W Xuan… - Analyst, 2023 - pubs.rsc.org
Cell sorting is an essential prerequisite for cell research and has great value in life science
and clinical studies. Among the many microfluidic cell sorting technologies, label-free …

[HTML][HTML] The Future of CMR: All-in-One vs. Real-Time CMR (Part 1)

AG Christodoulou, G Cruz, A Arami… - Journal of …, 2024 - Elsevier
ABSTRACT Cardiac Magnetic Resonance (CMR) protocols can be lengthy and complex,
which has driven the research community to develop new technologies to make these …

Precision medicine: Hype or hope?

MN Pelter, RS Druz - Trends in cardiovascular medicine, 2022 - Elsevier
In recent years, precision medicine has steadily risen to the forefront of many aspects of
medicine, including cardiology [1]. While this field has exponentially expanded and …

[HTML][HTML] T2 and T2⁎ mapping and weighted imaging in cardiac MRI

CC Topriceanu, I Pierce, JC Moon, G Captur - Magnetic Resonance …, 2022 - Elsevier
Cardiac imaging is progressing from simple imaging of heart structure and function to
techniques visualizing and measuring underlying tissue biological changes that can …

[HTML][HTML] Advancements and applications of Artificial Intelligence in cardiology: Current trends and future prospects

DB Olawade, N Aderinto, G Olatunji, E Kokori… - Journal of Medicine …, 2024 - Elsevier
Using Artificial intelligence technologies in cardiology has witnessed rapid advancements
across various domains, fostering innovation and reshaping clinical practices. The study …

[HTML][HTML] Towards explainability in artificial intelligence frameworks for heartcare: A comprehensive survey

MU Sreeja, AO Philip, MH Supriya - … of King Saud University-Computer and …, 2024 - Elsevier
Artificial Intelligence is extensively applied in heartcare to analyze patient data, detect
anomalies, and provide personalized treatment recommendations, ultimately improving …

Clinical assessment of an AI tool for measuring biventricular parameters on cardiac MR

M Salehi, A Maiter, S Strickland… - Frontiers in …, 2024 - frontiersin.org
Introduction Cardiac magnetic resonance (CMR) is of diagnostic and prognostic value in a
range of cardiopulmonary conditions. Current methods for evaluating CMR studies are …

Artificial Intelligence Applied to Cardiomyopathies: Is It Time for Clinical Application?

KH Kim, JM Kwon, T Pereira, ZI Attia… - Current cardiology …, 2022 - Springer
Abstract Purpose of Review Artificial intelligence (AI) techniques have the potential to
remarkably change the practice of cardiology in order to improve and optimize outcomes in …