Latest AI and machine learning research in head trauma for healthcare professionals.
BACKGROUND AND AIMS: The current study was designed to compare the effects of two different doses of...
Chronic exertional compartment syndrome (CECS) is a condition occurring most frequently in the lower...
 This article investigated the utility of urine biomarkers tissue inhibitor of metalloproteinase-2 ...
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...
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-...
Interstitial fibrosis, tubular atrophy, and inflammation are major contributors to kidney allograft ...
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...
OBJECTIVES: Big data analytics can potentially benefit the assessment and management of complex neur...
Refined understanding of the association of retinal microstructure with current and future (post-tre...
Artificial intelligence (AI) is a branch of computer science with a variety of subfields and techniq...
Gadolinium-enhancing lesions reflect active disease and are critical for in-patient monitoring in mu...
Despite progressive improvements over the decades, the rich temporally resolved data in an echocardi...
Efficient, reliable and reproducible target volume delineation is a key step in the effective planni...
Muscle fat infiltration (MFI) has been widely reported across cervical spine disorders. The quantifi...
Although deep learning (DL) technique has been successfully used for computed tomography (CT) recons...
Interpersonal violence (IPV) is highly prevalent in the United States and is a major public health p...
In this work, we develop a deep learning-guided fiberoptic Raman diagnostic platform to assess its a...
Cryo-EM maps are valuable sources of information for protein structure modeling. However, due to the...