Latest AI and machine learning research in head trauma for healthcare professionals.
There has been substantial interest in developing techniques for synthesizing CT-like images from MR...
Mindfulness training is associated with improvements in psychological wellbeing and cognition, yet t...
Traumatic brain injury (TBI) disproportionately affects low- and middle-income countries (LMICs). In...
BACKGROUND: Emotions after surviving cancer can be complicated. The survivors may have gained new st...
BACKGROUND: The study aimed to introduce a machine learning model that predicts in-hospital mortalit...
BACKGROUND: Adhesive capsulitis (frozen shoulder) is characterised by pain and loss of range of moti...
We introduce Post-DAE, a post-processing method based on denoising autoencoders (DAE) to improve the...
BACKGROUND: Prolonged length of stay (LOS) and post-acute care after percutaneous coronary intervent...
Recently, deep learning frameworks have rapidly become the main methodology for analyzing medical im...
A leading cause of traumatic brain injury (TBI) is intracranial brain deformation due to mechanical ...
The objective of the study was to assess endoscopic coblation adenoidectomy and conventional cold cu...
Identifying organs/tissue and pathology on radiological and microscopic images can be performed usin...
BACKGROUND: Erector spinae plane (ESP) block is a recently described interfacial block, and since 20...
Diminazene diaceturate (DIM) and isometamidium chloride hydrochloride (ISMM) have been widely used f...
Some patients with acromegaly do not reach the remission standard in the short term after surgery b...
Traumatic brain injury (TBI) is one of the common injuries when the human head receives an impact du...
Few studies have investigated the short-term effects of a very low carbohydrate ketogenic diet (KD) ...
BACKGROUND: Visual and auditory signs of patient functioning have long been used for clinical diagno...
Myocardial perfusion (MP) PET imaging plays a key role in risk assessment and stratification of pati...
OBJECTIVES: We aimed to build a machine learning predictive model to predict the risk of prolonged m...
Traumatic spinal cord injury is a serious neurological disorder. Patients experience a plethora of s...