Latest AI and machine learning research in head trauma for healthcare professionals.
Genome-wide association studies (GWAS) have identified genetic variations associated with adverse dr...
Three-quarters of lifetime mental illness occurs by the age of 24, but relatively little is known ab...
Podocyte injury plays a key role in pathogenesis of many kidney diseases with increased podocyte foo...
Post-traumatic stress disorder (PTSD) is frequently underdiagnosed due to its clinical and biologica...
BACKGROUND AND OBJECTIVE: Traumatic Brain Injury (TBI) is one of the leading causes of injury-relate...
. The quality of myocardial perfusion SPECT (MPS) images is often hampered by low count statistics. ...
Even though the demand of head computed tomography (CT) in patients with mild traumatic brain injury...
Deep-learning-based QRS-detection algorithms often require essential post-processing to refine the o...
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...
Intracranial hemorrhage (ICH) from traumatic brain injury (TBI) requires prompt radiological investi...
Postoperative urinary incontinence after robot-assisted radical prostatectomy (RARP) represents a b...
PURPOSE: Rapid automated CT volumetry of pulmonary contusion may predict progression to Acute Respir...
PURPOSE: This study aimed to assess and externally validate the performance of a deep learning (DL) ...
A longstanding challenge surrounding deep learning algorithms is unpacking and understanding how the...
Clinical utility of perfusion index (PI) has entered a new realm as a non-invasive, quantitative ind...
Psychological distress is a major contributor to human physiology and pathophysiology, and it has be...
In patients with acute pulmonary embolism (PE), timely intervention (e.g., initiation of anticoagul...
The risks of post trauma complications are regulated by the injury, comorbidities, and the clinical ...
Toxicology studies heavily rely on morphometric analysis to detect abnormalities and diagnose diseas...
We present a deep-learning-based platform, MIND-S, for protein post-translational modification (PTM)...