Latest AI and machine learning research in military medicine for healthcare professionals.
This review explores the transformative role of artificial intelligence (AI) in the early detection ...
Artificial intelligence (AI) has impacted healthcare at urban and academic medical centers globally....
Artificial intelligence (AI) is increasingly used to support clinical decision-making, particularly ...
We present a real-world deployment of a large language model-powered colonoscopy recall pipeline tha...
The ongoing war in Ukraine has exposed young adults to sustained psychological stress, elevating the...
One of the most difficult challenges in pediatric telemedicine is to accurately discriminate between...
Most evaluations of artificial intelligence (AI) in medicine rely on static, multiple-choice benchma...
Sepsis remains a leading cause of mortality in intensive care units (ICUs) worldwide, underscoring t...
Unplanned hospital admissions impose substantial strain on healthcare systems, yet predictive models...
GAI tools are increasingly used informally for health, yet evidence from low- and middle-income coun...
Standardized assessment of clinical quality measures from electronic health records (EHRs) is challe...
Hospital readmissions represent a persistent challenge for healthcare systems, often stemming from i...
Artificial intelligence (AI) applied to routine electrocardiograms (ECGs) offers promise for screeni...
Primary care artificial intelligence adoption among United States (US) physicians accelerated from 3...
Large language models (LLMs) demonstrate strong performance on medical reasoning tasks, but current ...
Atrial fibrillation (AFib) represents a critical diagnostic challenge in clinical cardiology, callin...
Large language models (LLMs) are rapidly entering clinical care, yet their definitionally probabilis...
The clinical promise of Large Language Models (LLMs) is often unrealized due to pro-hibitive computa...
Intubation and mechanical ventilation are associated with high mortality. Accurately predicting whic...
Computational pathology increasingly relies on foundation models pre-trained on large-scale histopat...
In order to enhance the accuracy of rice leaf disease detection in complex farmland environments, an...