Latest AI and machine learning research in head trauma for healthcare professionals.
INTRODUCTION: Traumatic bone marrow lesions (BML) are frequently identified on knee MRI scans in pat...
Traumatic brain injury (TBI) poses a significant global public health challenge necessitating a prof...
Predicting postpartum hemorrhage (PPH) before delivery is crucial for enhancing patient outcomes, en...
Smooth interaction with a disaster-affected community can create and strengthen its social capital, ...
BACKGROUND: Extracting research of domain criteria (RDoC) from high-risk populations like those with...
INTRODUCTION: Intracerebral hemorrhage represents 15Â % of all strokes and it is associated with a hi...
Post-traumatic stress disorder (PTSD) lacks clear biomarkers in clinical practice. Language as a pot...
In this retrospective study, we aimed to assess the objective and subjective image quality of differ...
This study explores the progression of intracerebral hemorrhage (ICH) in patients with mild to moder...
OBJECTIVE: The machine-learning head model (MLHM) to accelerate the calculation of brain strain and ...
The post-effects of the COronaVIrus Disease (COVID-19) vary depending on socioeconomic and biologica...
BACKGROUND: Traumatic brain injury (TBI) has become a major source of disability worldwide, increasi...
This study investigates the application of cavitation in non-invasive abdominal fat reduction and bo...
In contact sports such as rugby, players are at risk of sustaining traumatic brain injuries (TBI) du...
This study aimed to compare the accuracy of IFN-Ï„ stimulated gene abundance (ISGs) in peripheral blo...
BACKGROUND: Post-traumatic stress disorder (PTSD) poses a global public health challenge. Evidence-b...
This retrospective study applied machine-learning models to predict treatment outcomes of women unde...
COVID-19 is an infectious respiratory disease that has had a significant impact, resulting in a rang...
INTRODUCTION: Assessing the cumulative degree of bowel injury in ileal Crohn's disease (CD) is diffi...
BACKGROUND: Deep learning model trained on a large image dataset, can be used to detect and discrimi...
The mechanisms underlying the many phenotypic manifestations of post-acute COVID-19 syndrome (PACS) ...