Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
BACKGROUND: The advent of health technologies associated with artificial intelligence (AI) is deemed a transformative shift in the delivery of medical care within our lifetime. Nevertheless, there is a communication gap between intelligent models and clinical experts. Transitioning towards Human-Centered AI can serve as a means to bridge this gap. METHODS: This study introduces a human-centered ru...
BACKGROUND: Since 2020, Lebanon has faced a succession of financial, health, and security crises that have severely weakened its hospital system. In this context, marked by armed conflicts and recurrent disasters, the resilience of healthcare facilities has emerged as a major public health and human security concern. This study aims to assess the resilience of Lebanese hospitals in the context of ...
AIMS: Rising healthcare demand is increasingly outpacing available outpatient capacity in cardiology, where follow-up is often scheduled at fixed inte...
BACKGROUND: Postoperative delirium (POD) is a prevalent complication among older surgical patients; however, accurately predicting its occurrence usin...
INTRODUCTION: Ischemic stroke remains a leading cause of death in the United States, with the COVID-19 pandemic exacerbating disparities. Prior studie...
Saphenous vein graft (SVG) percutaneous coronary intervention (PCI) remains technically challenging and clinically high risk due to the friable, throm...
OBJECTIVE: Based on multicenter clinical data, this study aimed to develop and validate a predictive model for chronic low back pain (CLBP) after lumb...
Polypharmacy in post-acute and long-term care (PA/LTC) is common and is associated with falls, delirium, hospitalization, functional decline, and mort...
Falls risk is multifactorial, involving a combination of clinical and sociodemographic factors. Although guidelines acknowledge this complexity, most ...
Sudden Cardiac Death (SCD) remains a leading cause of mortality worldwide, with outcomes critically dependent on the effective implementation of the "...
Emergency department (ED) triage of older adults is challenging because standard early warning scores are often insensitive to atypical presentations....
PURPOSE: Healthcare spending for patients with inflammatory bowel disease (IBD) has steadily increased over the past few decades. While some of the in...
BACKGROUND: The clinical relevance of concordance between multidisciplinary tumor board (MDT) decisions and artificial intelligence (AI)-based treatme...
INTRODUCTION: The management of rectal adenocarcinoma requires navigation of complex, branching guideline pathways encompassing neoadjuvant sequencing...
Growing evidence indicates that disruption of the microbiota-gut-brain (MGB) axis is a key factor in autism spectrum disorder (ASD), affecting neurode...
BACKGROUND: Sex estimation is the first and most important step in establishing a reliable biological identity during the examination of skeletal rema...
Accurate streamflow data are essential for managing water resources and enhancing climate resilience worldwide. Yet, existing global streamflow datase...
BACKGROUND: Acute myocardial infarction (AMI) in critically ill patients is associated with high mortality. The glucose-to-platelet ratio (GPR), deriv...
BACKGROUND: Artificial intelligence (AI) is increasingly being integrated into healthcare systems; however, nurses' knowledge, attitudes, and perceive...
BACKGROUND: Meningiomas, particularly large temporocorneal meningiomas, pose significant surgical challenges due to their proximity to critical brain ...