Latest AI and machine learning research in emergency medicine for healthcare professionals.
A large quantity of high throughput screening (HTS) data for antimalarial activity has become availa...
Understanding the processes of mitochondrial dynamics (fission, fusion, biogenesis, and mitophagy) h...
Adverse drug reactions (ADRs) are noxious and unexpected effects during normal drug therapy. They ha...
BACKGROUND: Modeling drug interactions is important for illustrating combined drug actions and for p...
OBJECTIVES: (1) To develop an automated eligibility screening (ES) approach for clinical trials in a...
Background Emergency department (ED) triage is a high-stakes clinical decision process that determin...
Title and abstract screening limit the timeliness of systematic reviews used for clinical guidelines...
Osteoporosis is often called a silent disease because it progresses without symptoms until a fractur...
Our study evaluated whether a deep learning auto segmentation model combined with machine learning t...
Background: Stroke is a time-sensitive neurological emergency in which early EMS activation and pres...
Objective: Survival analysis is central to medical prediction, yet large language models (LLMs) are ...
Pathological assessment guides lung cancer diagnosis, treatment selection, and prognostic evaluation...
Urgent suspected colorectal cancer (CRC) referrals create operational bottlenecks because semi-struc...
Background: With growing impetus to integrate artificial intelligence (AI) tools into radiology, cli...
Hospital antimicrobial resistance (AMR) emanates from an array of complex interactions between patie...
Presurgical mapping of key white matter (WM) fiber tracts is crucial for intracerebral hemorrhage (I...
Motivation: The ToxCast database is a valuable resource for computational toxicology and new approac...
AI-assisted clinical care may compound, rather than correct, existing health inequities. We applied ...
Background: Mental health systems face escalating demand that exceeds clinician capacity, making acc...
Background: Per- and polyfluoroalkyl substances (PFAS), particularly perfluorooctane sulfonate (PFOS...
Drug-induced arrhythmias, particularly Torsades de Pointes (TdP), pose a significant risk to patient...