[HTML][HTML] Artificial intelligence in cardiology: Hope for the future and power for the present
Cardiovascular disease (CVD) is the principal cause of mortality and morbidity globally. With
the pressures for improved care and translation of the latest medical advances and …
the pressures for improved care and translation of the latest medical advances and …
Deep learning for cardiovascular imaging: A review
Importance Artificial intelligence (AI), driven by advances in deep learning (DL), has the
potential to reshape the field of cardiovascular imaging (CVI). While DL for CVI is still in its …
potential to reshape the field of cardiovascular imaging (CVI). While DL for CVI is still in its …
[HTML][HTML] Large-scale pancreatic cancer detection via non-contrast CT and deep learning
Pancreatic ductal adenocarcinoma (PDAC), the most deadly solid malignancy, is typically
detected late and at an inoperable stage. Early or incidental detection is associated with …
detected late and at an inoperable stage. Early or incidental detection is associated with …
Artificial intelligence for contrast-free MRI: scar assessment in myocardial infarction using deep learning–based virtual native enhancement
Background: Myocardial scars are assessed noninvasively using cardiovascular magnetic
resonance late gadolinium enhancement (LGE) as an imaging gold standard. A contrast …
resonance late gadolinium enhancement (LGE) as an imaging gold standard. A contrast …
[HTML][HTML] Clinical application of CMR in cardiomyopathies: Evolving concepts and techniques: A position paper of myocardial and pericardial diseases and cardiac …
M Merlo, G Gagno, A Baritussio, B Bauce, E Biagini… - Heart Failure …, 2023 - Springer
Cardiac magnetic resonance (CMR) has become an essential tool for the evaluation of
patients affected or at risk of developing cardiomyopathies (CMPs). In fact, CMR not only …
patients affected or at risk of developing cardiomyopathies (CMPs). In fact, CMR not only …
[HTML][HTML] Multi-modality cardiac image computing: A survey
Multi-modality cardiac imaging plays a key role in the management of patients with
cardiovascular diseases. It allows a combination of complementary anatomical …
cardiovascular diseases. It allows a combination of complementary anatomical …
Artificial intelligence to reduce or eliminate the need for gadolinium-based contrast agents in brain and cardiac MRI: a literature review
Brain and cardiac MRIs are fundamental noninvasive imaging tools, which can provide
important clinical information and can be performed without or with gadolinium-based …
important clinical information and can be performed without or with gadolinium-based …
[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 …
that influenced and supported modern medicine. However, there is a shortage of MRI in low …
[HTML][HTML] Artificial intelligence in cardiac MRI: is clinical adoption forthcoming?
Artificial intelligence (AI) refers to the area of knowledge that develops computerised models
to perform tasks that typically require human intelligence. These algorithms are programmed …
to perform tasks that typically require human intelligence. These algorithms are programmed …
MyoPS-Net: Myocardial pathology segmentation with flexible combination of multi-sequence CMR images
Myocardial pathology segmentation (MyoPS) can be a prerequisite for the accurate
diagnosis and treatment planning of myocardial infarction. However, achieving this …
diagnosis and treatment planning of myocardial infarction. However, achieving this …