Latest AI and machine learning research in domestic violence for healthcare professionals.
BACKGROUND: Early detection of rare genetic diseases, including velocardiofacial syndrome (VCFS), is...
Trauma is very common and associated with significant co-morbidity world-wide, particularly PTSD and...
BACKGROUND: Prehospital trauma triage is essential to get the right patient to the right hospital. H...
BACKGROUND: Acute traumatic coagulopathy (ATC) is a well-described phenomenon known to begin shortly...
Drug-induced Torsade de Pointes (TdP), a life-threatening polymorphic ventricular tachyarrhythmia, e...
PURPOSE: To employ bioinformatics and machine learning to predict the characteristics of immune cell...
Repurposing utilizes existing drugs with known safety profiles and discovers new uses by combining e...
While substantial investment has been made in the early identification of mental and behavioural hea...
PURPOSE: The implementation of artificial intelligence (AI) in health care is gaining popularity. Ma...
Pediatric head trauma is a significant cause of morbidity and mortality, with children, particularly...
BACKGROUND AND AIMS: Cecal intubation in colonoscopy relies on self-reporting. We developed an artif...
RATIONALE AND OBJECTIVES: Traumatic neuroradiological emergencies necessitate rapid and accurate dia...
The manufacturing of pharmaceutical solid dosage forms, such as tablets involves a large number of s...
(1) Background: Unruptured Intracranial Aneurysms (UIAs) are common blood vessel malformations, occu...
Current imaging methods for diagnosing breast cancer (BC) are associated with limited sensitivity an...
OBJECTIVE: To identify HBV-related genes (HRGs) implicated in osteoporosis (OP) pathogenesis and dev...
INTRODUCTION: VEXAS is a syndrome described in 2020, caused by mutations of the UBA1 gene, and displ...
BACKGROUND AND OBJECTIVE: It is unknown whether large language models (LLMs) may facilitate time- an...
We aimed to evaluate the ability of deep learning (DL) models to identify patients from a paired che...
OBJECTIVE: This study aimed to assess reporting quality of machine learning (ML) algorithms in the h...
Protein design and directed evolution have separately contributed enormously to protein engineering....