Latest AI and machine learning research in head trauma for healthcare professionals.
Refined understanding of the association of retinal microstructure with current and future (post-tre...
An ambulatory elder with SCI, AIS C, balance deficits, and right ankle-foot-orthosis participated. R...
PURPOSE: Post-stroke cognitive impairment can affect up to one third of stroke survivors. Since cogn...
OBJECTIVE: Previous studies have shown that excess weight (including obesity and overweight) can inc...
Artificial intelligence (AI) is a branch of computer science with a variety of subfields and techniq...
OBJECTIVE: The aim of this study was to evaluate an automatic, deep learning based method (Augmented...
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...
The growing interest in deep learning approaches to video surveillance raises concerns about the acc...
Cryo-EM maps are valuable sources of information for protein structure modeling. However, due to the...
In this study, algorithms to detect post-falls were evaluated using the cross-dataset according to f...
To study and explore the adoption value of magnetic resonance imaging (MRI) in the diagnosis of ante...
In the human resource system of modern enterprises, human-post matching big data occupies an importa...
The work investigates neural network model for prediction of post-surgical treatment risks. The desc...
INTRODUCTION: To develop an image-based deep learning model for predicting pathological response in ...
INTRODUCTION: Gastrointestinal endoscopic quality is operator-dependent. To ensure the endoscopy qua...