Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
BACKGROUND: Improved survival for children with congenital heart disease (CHD) has resulted in an increasing number presenting for noncardiac procedures. Several factors are associated with mortality in these patients, including severity of heart disease, preoperative inotropic support, preoperative ventilatory support, emergency procedure, and comorbidities. Prior literature has relied on multiva...
PURPOSE: This study aimed to evaluate the potential of amino-acid profiles to predict disease progression in patients with Crimean-Congo Hemorrhagic Fever (CCHF) and to identify metabolic biomarkers associated with clinical outcomes and survival. METHODS: Of the 115 confirmed CCHF patients, 18 required intensive care unit (ICU) admission and 16 died. Notably, 15 of the deaths occurred among ICU pa...
BACKGROUND: Emergency department triage is commonly conceptualised as a standardised classification of patient urgency based on vital signs and presen...
BACKGROUND: The objective of this study was to evaluate the performance of multiple machine learning algorithms to provide evidence supporting early i...
OBJECTIVE: To evaluate hippocampal subfield radiomics for identifying aggressive behavior in hospitalized patients with schizophrenia and to validate ...
BACKGROUND: Sepsis-associated acute kidney injury (SA-AKI) is a common and severe complication in intensive care unit (ICU) patients, with high incide...
BACKGROUND: Ambulatory surgery centers now perform more than 60% of the 60 million elective surgical procedures in the United States, yet artificial i...
PURPOSE: Secondary hemophagocytic lymphohistiocytosis (sHLH) is a life-threatening hyperinflammatory condition. While few diagnostic scores are establ...
Artificial intelligence (AI)-based decision support systems are increasingly explored in surgical oncology. However, their concordance with multidisci...
BACKGROUND: Delayed identification of acute kidney injury (AKI) limits timely intervention, as diagnosis often depends on serum creatinine elevation a...
BACKGROUND: Safety planning is recognized as one of the most effective interventions for reducing suicidal behaviors. The quality of safety plans stro...
BACKGROUND: Systematic collection of social determinants of health (SDoH) data remains inconsistent across healthcare settings, despite its critical i...
BACKGROUND: Large language models (LLMs) have shown potential in medical text generation. Senior physician ward round records are critical documents w...
BACKGROUND: Hip fractures are a major global health issue with high mortality and morbidity, especially in older adults. One-year mortality post-surge...
Of 269 pancreatic cancer multidisciplinary team cases, 125 complete structured cases were evaluated. The chat interface model labeled ChatGPT-5.2 matc...
Interstitial lung diseases (ILDs) require early recognition and longitudinal assessment, yet repeated high-resolution computed tomography (HRCT) is of...
BACKGROUND: Cancer screening is a cornerstone of cancer control in Europe yet marked disparities persist in access, implementation, and quality assura...
Primary liver cancer presents substantial management challenges across the surgical trajectory, including high recurrence rates, prolonged rehabilitat...
The brain morphological connectome derived from structural MRI reflects inter-regional morphological relationships, providing a powerful representatio...
BACKGROUND: Postoperative cerebral infarction (POCI) is an uncommon but potentially fatal complication of major non-cardiac surgery and is associated ...