Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
OBJECTIVE: Emergency department (ED) triage determines patient prioritization, early risk recognition, and allocation of limited resources. Artificial intelligence (AI) has been explored to support triagerelated decision-making, but the evidence remains heterogeneous. This scoping review aimed to map applications of AI-assisted triage in EDs and summarize reported outcomes, safety, equity, and imp...
BACKGROUND: Heart rate variability (HRV) analysis powered by artificial intelligence (AI) offers a rapid, non-invasive, and objective approach for acute coronary syndrome (ACS) risk stratification in the emergency department (ED). The objective of this study was to evaluate the feasibility and impact of aiTriage™, an AI HRV-guided tool for chest pain triage, compared with standard care. METHODS: I...
Femicide is a pervasive and structurally rooted form of violence, yet it remains significantly underexplored using quantitative and computational appr...
In our practice, the treatment of pelvic bone tumors should begin with a multidisciplinary sarcoma-board evaluation that integrates biopsy-proven hist...
PURPOSE: Adolescent idiopathic scoliosis (AIS) is the most common spinal deformity affecting adolescents, yet comprehensive analysis of global researc...
BACKGROUND: Large language models (LLMs) are increasingly integrated into clinical artificial intelligence (AI) workflows, with emerging applications ...
INTRODUCTION: Cardiovascular disease (CVD) remains a leading cause of preventable morbidity and mortality. Most existing CVD prediction tools use a ba...
AIM: To describe the rapid evolution of emerging digital technologies in oncology nursing and clarify the essential informatics competencies required ...
BACKGROUND: Metastatic disease remains the leading cause of cancer-related death, yet most precision oncology strategies still emphasize profiling pri...
With the development of next-generation energy storage systems focusing on green, safe, and sustainable devices, aqueous magnesium (Mg)-air batteries ...
The proliferation of hospital surveillance data in China has not been matched by publicly available, machine-readable datasets suitable for artificial...
Out-of-hospital cardiac arrest remains a major public health challenge worldwide, with survival largely determined by the timeliness, quality, and org...
BACKGROUND AND AIMS: Acute Type A aortic dissection (ATAAD) is a surgical emergency in which delays in diagnosis, transfer, and operative activation i...
BACKGROUND: Incidental pulmonary nodules (IPNs) are frequently identified on computed tomography (CT) scans but are often associated with poor rates o...
Artificial intelligence (AI) demonstrates potential throughout the cancer care continuum, with evidence supporting its application in medical imaging ...
The occurrence of acute kidney injury (AKI) in hospitalized patients with atrial fibrillation (AF) significantly increases the mortality risk. Current...
BACKGROUND: Long-term garment-type wearable Holter electrocardiographic (ECG) monitoring is frequently affected by noise contamination, which complica...
BACKGROUND: Ambient artificial intelligence scribes (AI scribes) are emerging as tools to optimize clinical documentation, although the need persists ...
The accurate and timely diagnosis of inherited retinal diseases (IRDs) represents an unmet clinical need in ophthalmology, as the current pathways rel...
Medicaid care-management programs typically allocate scarce outreach capacity to beneficiaries with the highest predicted risk of an acute event, assu...