Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
BACKGROUND: Clazosentan reduces angiographic vasospasm after aneurysmal subarachnoid hemorrhage (aSA...
Large language models (LLMs) show great potential for clinical decision-making, yet most application...
AIMS: Heart failure (HF) is characterized by high morbidity and frequent hospital readmissions, high...
Peer supporters represent one of the fastest growing segments of the behavioral health workforce; th...
BACKGROUND: The initial assessment of pediatric emergency patients is challenging due to diverse cli...
OBJECTIVE: Swallowing dysfunction poses significant health risks for older adults. Early detection i...
PURPOSE: To characterize the etiology and clinical course of patients with subcapsular renal hematom...
Surgical patient safety remains a major challenge in resource-limited settings, where preventable ha...
BACKGROUND: Artificial intelligence (AI)-based nursing interventions are increasingly being employed...
BACKGROUND: Extracorporeal cardiopulmonary resuscitation (ECPR) has demonstrated survival benefit in...
AIM: This qualitative study explores how digitalisation primarily through electronic health records ...
STUDY QUESTION: Do women with endometriosis have a higher use of antidepressants and anxiolytics, an...
This study aimed to evaluate the need for intensive care unit (ICU) admission and identify factors a...
Continuous renal replacement therapy (CRRT) is a technically complex, high-risk ICU therapy in which...
BACKGROUND: Heart failure (HF) is a leading cause of hospitalization and readmission. Cardiac implan...
BACKGROUND: The 2016 Comprehensive Addiction and Recovery Act amended the Child Abuse Prevention and...
BACKGROUND: Novice health care staff often write case reports during early clinical training. Howeve...
Ovarian cancer, with high mortality, demands accurate preoperative assessment to guide individualize...
» Artificial intelligence (AI) is increasingly integrated across the total hip and knee arthroplasty...
OBJECTIVES: To determine whether pretreatment radiomics can predict medication-related osteonecrosis...
BACKGROUND AND OBJECTIVE: Accurately predicting outcomes in extremely preterm infants remains a majo...