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 …

[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 …

[HTML][HTML] 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 …

Machine learning detects symptomatic plaques in patients with carotid atherosclerosis on CT angiography

F Pisu, BJ Williamson, V Nardi… - Circulation …, 2024 - ahajournals.org
BACKGROUND: This study aimed to develop and validate a computed tomography
angiography based machine learning model that uses plaque composition data and degree …

Carotid artery atherosclerosis: mechanisms of instability and clinical implications

L Saba, R Cau, R Vergallo, ME Kooi… - European Heart …, 2025 - academic.oup.com
Cardiovascular disease remains a prominent cause of disability and premature death
worldwide. Within this spectrum, carotid artery atherosclerosis is a complex and multifaceted …

Cardiovascular magnetic resonance in β-thalassemia major: beyond T2

A Meloni, L Saba, F Cademartiri, V Positano… - La radiologia …, 2024 - Springer
Β-thalassemia major (TM) patients underwent regular transfusions to prevent complications
of chronic anemia. However, these regular transfusions result in progressive iron …

ARGai 1.0: A GAN augmented in silico approach for identifying resistant genes and strains in E. coli using vision transformer

DSK Nayak, R Das, SK Sahoo, T Swarnkar - Computational Biology and …, 2025 - Elsevier
The emergence of infectious disease and antibiotic resistance in bacteria like Escherichia
coli (E. coli) shows the necessity for novel computational techniques for identifying essential …

Correlation of Imaging Characteristics of Carotid Plaque with Clinical and Histopathological Features and Application of Artificial Intelligence Techniques in Identifying …

GS Ramnadh, P Sharma, VK Yerramsetty… - Indian Journal of …, 2025 - journals.lww.com
Materials and Methods: This prospective study from August 2022 to April 2024 used DU and
computerized tomographic angiography (CTA) or magnetic resonance angiography (MRA) …

PENERJEMAHAN BAHASA LAMPUNG-BAHASA INDONESIA MENGGUNAKAN LONG SHORT-TERM MEMORY

RA Mohammed - 2024 - digilib.unila.ac.id
Penelitian ini bertujuan untuk mengembangkan model penerjemahan otomatis dari bahasa
Lampung Api ke bahasa Indonesia menggunakan long short-term memory (LSTM) …