Latest AI and machine learning research in head trauma for healthcare professionals.
Ureteral stents, introduced in 1960s, are essential for managing upper urinary tract pathologies, ma...
OBJECTIVES: To determine whether an artificial-intelligence-driven Clinical Deterioration Index (CDI...
This study used machine learning to objectively identify seizures in the electroencephalogram of a m...
OBJECTIVE: Traditional readmission risk models relying on static discharge data have limited predict...
BACKGROUND: Objective wound age estimation remains challenging in forensic practice, particularly fo...
Brain fog has raised significant public health concerns as a common neurocognitive impairment in the...
BACKGROUND: Athletes frequently experience potentially traumatic events related to sports injuries, ...
Understanding transplantation outcomes requires an integrated view of immunological, genetic, and cl...
The rapid proliferation of Internet of Medical Things (IoMT) devices in healthcare environments has ...
BACKGROUND AND OBJECTIVE: Single-cell RNA sequencing (scRNA-seq) frameworks lack explainable approac...
INTRODUCTION: Pharmacy students increasingly rely on generative artificial intelligence (AI) for lea...
Liver transplantation is the definitive treatment for end-stage liver disease; however, postoperativ...
PURPOSE: To develop and evaluate a 3D deep learning model for detecting superior mesenteric artery o...
OBJECTIVE: Low-field magnetic resonance imaging (MRI) offers distinct advantages in terms of afforda...
Programmed cell death pathways exacerbate secondary damage after spinal cord injury, yet their share...
Tuberculosis (TB) remains a major cause of infectious disease mortality. Early diagnosis is crucial ...
Neurological prognostication of patients in post-traumatic coma remains challenging due to the pauci...
Splenectomy remains a common operation performed in the setting of trauma, haematological disease, m...
BACKGROUND: Neurodevelopmental disorders, especially attention-deficit/hyperactivity disorder (ADHD)...
BACKGROUND: Nurses in long-term care spend up to one-third of their working time on documentation, c...
STUDY DESIGN: Retrospective imaging evaluation using an artificial intelligence (AI)-generated model...