Latest AI and machine learning research in head trauma for healthcare professionals.
BACKGROUND AND OBJECTIVE: Traumatic Brain Injury (TBI) is one of the leading causes of injury-relate...
AIM: To assess and compare the effect of resveratrol pretreatment of root dentin on immediate and de...
OBJECTIVE: To evaluate a biparametric MRI (bpMRI)-based artificial intelligence (AI) model for the d...
. The quality of myocardial perfusion SPECT (MPS) images is often hampered by low count statistics. ...
BACKGROUND While there is a growing body of research examining opinions on social robots in elderly ...
Even though the demand of head computed tomography (CT) in patients with mild traumatic brain injury...
BACKGROUND: Ipsilesional motor impairments of the arm are common after stroke. Previous studies have...
Modern Healthcare cyberphysical systems have begun to rely more and more on distributed AI leveragin...
Deep-learning-based QRS-detection algorithms often require essential post-processing to refine the o...
Prediction of the stage of cancer plays an important role in planning the course of treatment and ha...
Catheter ablation (CA) is considered as one of the most effective methods technique for eradicating ...
With a view of the post-COVID-19 world and probable future pandemics, this paper presents an Interne...
PURPOSE: To evaluate the feasibility, safety, and early oncologic outcomes after post-chemotherapy r...
Low-dose computed tomography (LDCT) is an effective way to reduce radiation exposure for patients. H...
Robotics facilitates the realization of intra-corporeal anastomosis during right hemicolectomy and a...
Despite the World Health Organization's declaration that the COVID-19 global emergency has ended, th...
Intracranial hemorrhage (ICH) from traumatic brain injury (TBI) requires prompt radiological investi...
Postoperative urinary incontinence after robot-assisted radical prostatectomy (RARP) represents a b...