Latest AI and machine learning research in head trauma for healthcare professionals.
 This article investigated the utility of urine biomarkers tissue inhibitor of metalloproteinase-2 ...
PURPOSE: To evaluate unfractionated heparin (UFH) dosing guided by antifactor Xa levels during targe...
PURPOSE: MR image quality and subsequent brain morphometric analysis are inevitably affected by nois...
As low-field MRI technology is being disseminated into clinical settings around the world, it is imp...
Malformations of cortical development (MCD) comprise a broad spectrum of structural brain lesions fr...
This note updates the 2019 review article "Retail forecasting: Research and practice" in the context...
OBJECTIVE: Annual countrywide data are scarce when comparing surgical approaches in terms of hospita...
In addition to the well-established somatotopy in the pre- and post-central gyrus, there is now stro...
This paper proposes a post-processing method called bidirectional interpolation method for sampling-...
Diaphragmatic hiatal hernia is a potential complication of oesophagectomy in cancer patients. Over t...
This study investigated the effectiveness of pre-treatment quantitative MRI and clinical features al...
Interstitial fibrosis, tubular atrophy, and inflammation are major contributors to kidney allograft ...
Even a tiny functioning pituitary adenoma could cause symptoms; hence, accurate diagnosis and treatm...
BACKGROUND: While previous studies identified risk factors for diverse pregnancy outcomes, tradition...
Automated brain tumour segmentation from post-operative images is a clinically relevant yet challeng...
This paper considers the use of a post metadata-based approach to identifying intentionally deceptiv...
Sensorimotor adaptation involves the recalibration of the mapping between motor command and sensory ...
BACKGROUND: Attenuation correction can improve the quantitative accuracy of single-photon emission c...
BACKGROUND: Gadolinium-based contrast agents (GBCAs) are widely used to enhance tissue contrast duri...
OBJECTIVES: Big data analytics can potentially benefit the assessment and management of complex neur...
Deep transfer learning is a popular choice for classifying monochromatic medical images using models...