Artificial Intelligence in the Differential Diagnosis of Cardiomyopathy Phenotypes

R Cau, F Pisu, JS Suri, R Montisci, M Gatti, L Mannelli… - Diagnostics, 2024 - mdpi.com
Artificial intelligence (AI) is rapidly being applied to the medical field, especially in the
cardiovascular domain. AI approaches have demonstrated their applicability in the …

Quantifying carotid stenosis: history, current applications, limitations, and potential: how imaging is changing the scenario

L Saba, R Scicolone, E Johansson, V Nardi, G Lanzino… - Life, 2024 - mdpi.com
Carotid artery stenosis is a major cause of morbidity and mortality. The journey to
understanding carotid disease has developed over time and radiology has a pivotal role in …

Embolic strokes of undetermined source: a clinical consensus statement of the ESC Council on Stroke, the European Association of Cardiovascular Imaging and the …

G Ntaios, H Baumgartner, W Doehner… - European Heart …, 2024 - academic.oup.com
One in six ischaemic stroke patients has an embolic stroke of undetermined source (ESUS),
defined as a stroke with unclear aetiology despite recommended diagnostic evaluation. The …

[HTML][HTML] Carotid stenosis and cryptogenic stroke

L Saba, R Cau, G Spinato, JS Suri, M Melis… - Journal of Vascular …, 2024 - Elsevier
Objectives Cryptogenic stroke represents a type of ischemic stroke with an unknown origin,
presenting a significant challenge in both stroke management and prevention. According to …

Development and validation of a fusion model based on carotid plaques and white matter lesion burden imaging characteristics to evaluate ischemic stroke severity in …

Z Cui, S Xu, J Miu, Y Tang, L Pan… - Journal of Magnetic …, 2024 - Wiley Online Library
Background The diagnostic value of carotid plaque characteristics based on higher–
resolution vessel wall MRI (HRVW‐MRI) combined with white matter lesion (WML) burden …

Pericarotid Fat as a Marker of Cerebrovascular Risk

R Cau, N Anzalone, L Mannelli, M Edjlali… - American Journal of …, 2024 - ajnr.org
Vascular inflammation is widely recognized as an important factor in the atherosclerotic
process, particularly in terms of plaque development and progression. Conventional tests …

Radiomics and artificial intelligence: General notions and applications in the carotid vulnerable plaque

R Scicolone, S Vacca, F Pisu, JC Benson… - European Journal of …, 2024 - Elsevier
Carotid atherosclerosis plays a substantial role in cardiovascular morbidity and mortality.
Given the multifaceted impact of this disease, there has been increasing interest in …

Motico: An attentional mechanism network model for smart aging disease risk prediction based on image data classification

F Zhou, S Hu, X Du, Z Lu - Computers in Biology and Medicine, 2024 - Elsevier
The current disease risk prediction model with many parameters is complex to run smoothly
on mobile terminals such as tablets and mobile phones in imaginative elderly care …

[HTML][HTML] Global research evolution and frontier analysis of artificial intelligence in brain injury: A bibliometric analysis

M Qu, Y Xu, L Lu - Brain Research Bulletin, 2024 - Elsevier
Research on artificial intelligence for brain injury is currently a prominent area of scientific
research. A significant amount of related literature has been accumulated in this field. This …

[HTML][HTML] Photon-Counting Computed Tomography Angiography of Carotid Arteries: A Topical Narrative Review with Case Examples

A Meloni, R Cau, L Saba, V Positano, C De Gori… - Diagnostics, 2024 - mdpi.com
Photon counting computed tomography (PCCT) represents a paradigm shift from
conventional CT imaging, propelled by a new generation of X-ray detectors capable of …