Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
BACKGROUND: Clazosentan reduces angiographic vasospasm after aneurysmal subarachnoid hemorrhage (aSAH), but functional benefit may vary across patients. We used causal machine learning to explore heterogeneity and derive an interpretable rule. METHODS: In a secondary analysis of the RECOVER dataset [multicenter retrospective cohort of aSAH treated by clipping or coiling within 48 h (N = 506)], we ...
Large language models (LLMs) show great potential for clinical decision-making, yet most applications remain narrow, task-specific chat tools rather than systems integrated into clinical workflows1,2. However, building physician copilots will require models that operate within the electronic health record (EHR), with governed access to patient data and the ability to initiate permitted EHR actions...
AIMS: Heart failure (HF) is characterized by high morbidity and frequent hospital readmissions, highlighting the need for scalable out-of-hospital mon...
AIMS: This multicenter retrospective cohort study aimed to develop 3 predictive models to estimate consciousness status 3 months after admission. Thes...
Peer supporters represent one of the fastest growing segments of the behavioral health workforce; they are increasingly integrated across inpatient, o...
BACKGROUND: The initial assessment of pediatric emergency patients is challenging due to diverse clinical presentations and the limited applicability ...
Neonatal sepsis is a leading cause of infant morbidity and mortality in low- and middle-income countries (LMICs), yet despite this, progress in the de...
OBJECTIVE: Swallowing dysfunction poses significant health risks for older adults. Early detection is crucial to prevent complications such as aspirat...
The widespread occurrence of per- and polyfluoroalkyl substances (PFAS) and emerging substitutes in riverine environments has raised growing concern, ...
There has been mounting pressure on cancer multidisciplinary team (MDT) meetings due to increasing case volumes. Efforts to streamline MDT workflows o...
Surgical patient safety remains a major challenge in resource-limited settings, where preventable harm may be increased by delayed assessment, limited...
BACKGROUND: Artificial intelligence (AI)-based nursing interventions are increasingly being employed to manage chronic illnesses; however, their defin...
BACKGROUND: Extracorporeal cardiopulmonary resuscitation (ECPR) has demonstrated survival benefit in selected patients with out-of-hospital cardiac ar...
AIM: This qualitative study explores how digitalisation primarily through electronic health records and digital documentation systems is experienced b...
STUDY QUESTION: Do women with endometriosis have a higher use of antidepressants and anxiolytics, and more frequent psychiatric hospital contacts due ...
This study aimed to evaluate the need for intensive care unit (ICU) admission and identify factors associated with in-hospital mortality (IHM) in pati...
Continuous renal replacement therapy (CRRT) is a technically complex, high-risk ICU therapy in which preventable interruptions, alarm-related downtime...
BACKGROUND: Heart failure (HF) is a leading cause of hospitalization and readmission. Cardiac implantable electronic devices (CIEDs) continuously capt...
BACKGROUND: The 2016 Comprehensive Addiction and Recovery Act amended the Child Abuse Prevention and Treatment Act (CAPTA), expanding requirements for...
BACKGROUND: Novice health care staff often write case reports during early clinical training. However, many institutions lack structured feedback syst...