Latest AI and machine learning research in dyslipidemia for healthcare professionals.
Obesity is accompanied by several disorders. This study investigated the role of chronic renal disea...
Doxorubicin (DOX) is an antineoplastic agent which it's clinical use has been limited due to its maj...
Current diagnostic methods for colorectal cancer (CRC) are colonoscopy and sigmoidoscopy, which are...
Objective Asymptomatic carotid stenosis (ACS) is closely associated to the incidence of severe cereb...
OBJECTIVE: Chronic inflammatory processes involving the vascular wall may induce atherosclerosis. Im...
Rhabdomyolysis is a potentially fatal disease caused by trauma, infections, and toxins. Rhabdomyoly...
BACKGROUND: Clinical practice guidelines recommend assessment of subclinical atherosclerosis using i...
Non-invasive serial computed tomography coronary angiography (CTCA) was acquired from 32 patients an...
The scope of this paper is to present a new carotid vessel segmentation algorithm implementing the U...
In clinical practice, doctors usually use computed tomography angiography (CTA) to examine lower ext...
BACKGROUND: Coronary angioscopy (CAS) is a useful modality to assess atherosclerotic changes, but in...
Collecting and curating large medical-image datasets for deep neural network (DNN) algorithm develop...
BACKGROUNDCeramides are sphingolipids that play causative roles in diabetes and heart disease, with ...
BACKGROUND: The cryopreservation process induces osmotic stress, membrane changes and production of ...
Cardiovascular diseases (CVD) have become increasingly life-threatening during recent decades. Sever...
BACKGROUND: Controlling blood lipid levels at the early stage of cardiovascular disease is a major f...
OBJECTIVE: Carotid ultrasonography is a reliable and non-invasive method to evaluate atherosclerosis...
Hypertension is persistent elevation in blood pressure for 3-4 weeks. Estimated global prevalence of...
We investigated the prevalence and the most relevant features of nonalcoholic steatohepatitis (NASH...
The purpose of this study was to verify the usefulness of machine learning (ML) for selection of ris...
Background We developed a new left ventricular hypertrophy ( LVH ) criterion using a machine-learnin...