Latest AI and machine learning research in head trauma for healthcare professionals.
In recent years, the landscape of computer-assisted interventions and post-operative surgical video ...
Perineuronal nets (PNN) are a special highly structured type of extracellular matrix encapsulating s...
Approximately half of generalised anxiety disorder (GAD) patients do not recover from first-line tre...
Real-world evidence for patients with advanced -mutated non-small cell lung cancer (NSCLC) in Canada...
In this paper, we propose an amount estimation method for food intake based on both color and depth ...
Automatic abnormality identification of brachial plexus (BP) from normal magnetic resonance imaging ...
OBJECTIVE: This study aimed to explore the potential of employing machine learning algorithms based ...
Carotid corrected flow time (FTc) and tidal volume challenge pulse pressure variation (VtPPV) are us...
PURPOSE: Rectal tumor segmentation on post neoadjuvant chemoradiotherapy (nCRT) magnetic resonance i...
A novel 3D nnU-Net-based of algorithm was developed for fully-automated multi-organ segmentation in ...
Computed tomography (CT) is an important imaging modality for guiding prognostication in patients wi...
Translational bioinformatics (TBI) has transformed healthcare by providing personalized medicine and...
AIM: This study aims to utilize machine learning (ML) and logistic regression (LR) models to predict...
Excitotoxicity from the impairment of glutamate uptake constitutes an important mechanism in neurode...
Long COVID shares a number of clinical features with myalgic encephalomyelitis/chronic fatigue syndr...
To investigate the incidence and risk factors of inguinal hernia (IH) after robot-assisted radical p...
Contrast-induced acute kidney injury (CI-AKI) after percutaneous coronary intervention (PCI) is the ...
BACKGROUND: Identifying co-occurring mental disorders and elevated risk is vital for optimization of...
Artificial intelligence (AI) is increasingly used in forensic anthropology and genetics to identify ...
Machine learning head models (MLHMs) are developed to estimate brain deformation from sensor-based k...
has traditionally been used as a poultice to alleviate local inflammation and painful diseases. Thi...