Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
BACKGROUND: Discharge planning (DP) is crucial for care continuity after a hospital stay but remains...
Recent rapid developments in artificial intelligence (AI) technologies are leading to significant ch...
Artificial Intelligence (AI) is transforming medicine, providing unprecedented opportunities to enha...
INTRODUCTION: Since the post-antibiotic era, there has been significant difficulty in treating infec...
In the rapidly emerging field of transferring healthcare from hospitals to patients' homes, it is es...
Pharmacovigilance in Latin America has witnessed notable progress in recent years, marked by advance...
BACKGROUND: Tuberculous pericardial effusion (TPE) presents significant diagnostic challenges due to...
Artificial intelligence (AI) has the potential to transform health care; however, successful integra...
BACKGROUND: Pancreatic cancer requires nuanced, multidisciplinary treatment planning typically condu...
BACKGROUND: Extracting accurate medication information from Thai hospital records presents challenge...
OBJECTIVE: To evaluate the efficacy of a clinical decision support system (CDSS) on stroke care qual...
OBJECTIVE: The COVID-19 pandemic significantly altered treatment strategies and healthcare utilizati...
Early-stage infectious disease outbreaks impose acute pressure on hospital supply systems, particula...
INTRODUCTION: High bleeding risk (HBR) affects over one-third of patients undergoing percutaneous co...
BACKGROUND: Drug-related deaths worldwide are most commonly attributed to opioids. Opioids and other...
BACKGROUND: Traditional patient education often lacks personalization and engagement, potentially li...
BACKGROUND: Hospital Italiano de Buenos Aires (HIBA) has progressively integrated artificial intelli...
OBJECTIVES: The overwhelmed situation under the COVID-19 pandemic has worsened the quality of emerge...
Liver transplantation (LT) remains the optimal life-saving intervention for patients with end-stage ...
BACKGROUND: The present study aims to develop and validate an interpretable machine learning (ML) mo...
AIMS: Congenital heart disease is the most common birth defect and significantly impacts health, mor...