Latest AI and machine learning research in atherosclerosis for healthcare professionals.
Kawasaki disease (KD) is a leading cause of acquired heart disease in children and is characterized ...
OBJECTIVE: Computed tomography angiography (CTA) is the most widely used imaging modality for intrac...
AIM: The aim of the present study was to compare the performance of a tactile collaborative robot pr...
Wood identification is a key step in the enforcement of laws and regulations aimed at combatting ill...
PURPOSE: To evaluate a novel deep learning algorithm to distinguish between eyes that may or may not...
Collective cell migration is crucial for a variety of pathophysiological processes including embryon...
Diabetic retinopathy (DR) is a vision-threatening complication of diabetes, necessitating early and ...
PURPOSE: Descemet membrane endothelial keratoplasty (DMEK) is the preferred method for treating corn...
OBJECTIVE: We aim to prospectively validate a previously developed machine learning algorithm for lo...
BACKGROUND: Acute coronary syndromes caused by plaque erosion might be potentially managed conservat...
SIGNIFICANCE: Coronary heart disease has the highest rate of death and morbidity in the Western worl...
The Siamese Tracker (ST) for tracking objects of interest in Ultrasound (US) images does not incorpo...
Accurate measurement of blood vessel diameter on ultrasonic images is important in many vascular exa...
BACKGROUND: Atherosclerotic plaque quantification from coronary CT angiography (CCTA) enables accura...
OBJECTIVE: Low-density lipoprotein cholesterol (LDL-C) can be estimated using the Friedewald and Mar...
OBJECTIVE: Robot-assisted prostatectomy is commonly performed for the management of prostate cancer....
Presence of plaque and coronary artery stenosis are the main causes of coronary heart disease. Detec...
OBJECTIVE: Over the past 2 decades, robots have been increasingly used in surgeries to help overcome...
PURPOSE: The aim of this study was to assess racial/ethnic and socioeconomic disparities in the diff...
PURPOSE: Coronary artery calcium (CAC) quantified on computed tomography (CT) scans is a robust pred...
To evaluate the ability of a commercialized deep learning reconstruction technique to depict intracr...