Latest AI and machine learning research in head trauma for healthcare professionals.
OBJECTIVE: Early and accurate prediction of neurological outcomes and mortality in comatose patients after cardiac arrest remains challenging. Multimodal data integrating heart and brain electrophysiological signals may improve prognostic accuracy, but distinct predictive patterns underlying neurological recovery versus survival are not well characterized. METHODS: We analyzed 331 patients from th...
Artificial intelligence (AI) has emerged as a transformative force in liver transplantation (LT), spanning patient selection, donor-recipient matching, intraoperative management, and post-transplant care. Historically, applications have relied on traditional machine learning (ML) and deep learning (DL) techniques trained on structured clinical datasets to improve risk stratification and outcome pr...
INTRODUCTION: Anatomy teaching in preclinical medical education has become increasingly compressed, making it more difficult for students to integrate...
Reliable and secure transmission of medical images is essential for telemedicine, remote diagnosis, and distributed healthcare systems. However, medic...
BACKGROUND: Endovascular thrombectomy (EVT) has improved outcomes in patients with acute ischemic stroke due to large vessel occlusion (AIS-LVO); howe...
Suicide screening in military primary care settings is often conducted with a small number of self-report questions. The PRImary care Screening Method...
Median fins in fish-like swimmers critically govern linear acceleration and maneuvering performance, yet their function remains underexplored in untet...
BACKGROUND: Artificial intelligence (AI) offers new opportunities in healthcare research; however, faculty often lack structured training on its effec...
BACKGROUND: Lysine malonylation (Kmal) is a reversible post-translational modification involved in metabolic regulation and other essential biological...
In response to correspondence from Cognivue, Inc. regarding our publication (Jannati et al., 2025), we clarify that our analysis employed a rigorous p...
BACKGROUND: Minimally invasive biomarkers predicting immunotherapy response in head and neck squamous cell carcinoma (HNSCC) remain an unmet clinical ...
BACKGROUND: Facial attractiveness influences social and professional perceptions, including competence and employability. With the increasing use of a...
The process of migration of IoMT systems in healthcare into post-quantum cryptographic systems is expected to be a gradual one. Here, existing ECC-bas...
Free flap compromise after head and neck reconstruction requires rapid recognition and structured escalation. Large language models have shown potenti...
BACKGROUND: Intracranial hypertension is a life-threatening complication of acute brain injuries such as traumatic brain injury (TBI), subarachnoid he...
BACKGROUND: Acute lung injury and its severe form, acute respiratory distress syndrome (ARDS), represent life-threatening conditions with high mortali...
Molecular simulations are invaluable for analysing molecular systems, but existing post-processing tools are often limited by a lack of customization,...
As the domain of network security keeps on evolving rapidly, especially in sensitive areas such as healthcare systems, the demand for reliable device ...
BACKGROUND AND OBJECTIVES: Adults with sickle cell disease (SCD) are at risk of decline in brain health and cognition, even without clinical stroke. S...
Morphologic risk stratification for anterior cruciate ligament injury has historically relied upon isolated two-dimensional radiographic parameters (e...