Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
BACKGROUND: Parkinson's disease (PD) still lacks therapies that can simultaneously improve symptoms and slow neurodegenerative progression, making the screening of natural products with well‑defined mechanisms of action a promising strategy. The biflavonoid amentoflavone (AMF), which is present in plants including Ginkgo biloba L., has been shown to exert neuroprotective effects in PD models. Howe...
PURPOSE OF THE REVIEW: This review aims to address the unique challenges in nonoperating room anesthesia (NORA) locations, emphasizing the importance of patient selection, risk stratification, and comprehensive preoperative evaluation to ensure safe anesthetic care for increasingly complex patients. RECENT FINDINGS: The volume of NORA procedures has risen significantly, with patients often present...
BACKGROUND: This is an updated component network meta-analysis to evaluate efficacy and safety of various therapeutic approaches and their combination...
Coronary computed tomography angiography (CCTA) can be used beyond diagnostic purposes to support the preprocedural planning of percutaneous coronary ...
BACKGROUND: Medical errors pose significant risks to patient safety and public health. Automated unit dose drug dispensing systems (UDDSs) have emerge...
BACKGROUND: Smart bioelectronics are electronic medical devices that combine hardware and artificial intelligence (AI)-based software. These convergen...
OBJECTIVES: We evaluated the concordance between the Dutch National Triage Standard (NTS) triage classification and the triage of an artificial intell...
Neurological prognostication after out-of-hospital cardiac arrest (OHCA) remains challenging. Existing clinical scores rely on static, single-timepoin...
Diabetic foot is a severe chronic complication of diabetes, mainly resulting from peripheral neuropathy and vasculopathy, and may progress to ulcers, ...
Managing phosphorus (P) pollution in hydrologically complex lake systems requires clarifying whether groundwater acts as a source or sink of P to surf...
OBJECTIVE: To investigate clinical outcomes, safety, and sustainability of humanitarian otolaryngology outreach programs in low- and middle-income cou...
BACKGROUND: Heart failure (HF) readmissions remain common and costly, yet existing prediction models show limited clinical utility, particularly at th...
OBJECTIVE: To develop artificial intelligence (AI)-based intelligent review rules to accurately screen samples that require retests or blood smear mic...
INTRODUCTION: Emergency EEG (emEEG) is increasingly used in the emergency department (ED), but its diagnostic yield remains uncertain. This protocol d...
INTRODUCTION: Knee osteoarthritis is a leading cause of pain and disability and frequently results in total knee arthroplasty (TKA). Decisions about s...
BACKGROUND: To assess patient trust in AI-generated medication information, examine associated behavioral safety risks, and evaluate patient expectati...
Complex algorithms and prediction models are increasingly being developed, investigated and applied for clinical use in medical laboratories and beyon...
To systematically identify research trends, collaborative patterns, thematic developments and emerging areas of interest in the field of robotic surge...
INTRODUCTION: Dynamic Digital Radiography (DDR) is a novel bedside imaging modality that enables real-time visualization of pulmonary motion with mini...
The appendix is involved in a diverse spectrum of inflammatory, infectious, benign, and malignant conditions that extend far beyond acute appendicitis...