Hospital-Based Medicine

A machine learning framework for multimodal temporal prediction of neurological outcome after out-of-hospital cardiac arrest.

Neurological prognostication after out-of-hospital cardiac arrest (OHCA) remains challenging. Existi...

Clinical and Sustainability Outcomes of Humanitarian Otolaryngology Programs: A Scoping Review.

OBJECTIVE: To investigate clinical outcomes, safety, and sustainability of humanitarian otolaryngolo...

Machine Learning Prediction of Heart Failure Readmissions: Insights From a Multicenter Emergency Department Trial.

BACKGROUND: Heart failure (HF) readmissions remain common and costly, yet existing prediction models...

Diagnostic yield of electroencephalographyin the emergency department: protocol for the EMINENCE-M multicentre retrospective observational study.

INTRODUCTION: Emergency EEG (emEEG) is increasingly used in the emergency department (ED), but its d...

Patient Trust in AI-generated Medication Information and the Role of Clinical Pharmacists in Preventing Medication-related Safety Risks: A Cross-sectional Survey.

BACKGROUND: To assess patient trust in AI-generated medication information, examine associated behav...

Global Research Trends and Thematic Evolution in Robotic Surgery for Obstructive Sleep Apnoea: A Bibliometric and Visualisation Study.

To systematically identify research trends, collaborative patterns, thematic developments and emergi...

Identifying Patients at Elevated Risk of Stroke After.

BACKGROUND: Transcarotid artery revascularization (TCAR) has assumed a significant role in the surgi...

Integrating 2.5D multi-modal CT imaging with serum triglycerides for early risk stratification in hypertriglyceridemia-induced acute pancreatitis: A multicenter study.

OBJECTIVES: To develop and externally validate a clinical-radiological framework that fuses 2.5D dee...

Interpretable Machine Learning for Early Risk Stratification of Carbapenem Resistance Among ICU Patients with Sterile-Site Pseudomonas aeruginosa Isolates: Development and Internal Validation Using MIMIC-IV.

OBJECTIVES: We developed and internally validated an interpretable machine learning model to stratif...

Development of a Knowledge Map for Managing Symptoms of Graft-Versus-Host Disease in Patients Undergoing Hematopoietic Stem Cell Transplantation.

BACKGROUND: Graft-versus-host disease (GVHD) remains a critical complication affecting patients unde...

Modeling antiretroviral therapy adherence among people living with HIV: a cross-sectional study at Pantang Hospital, Ghana.

BACKGROUND: Poor adherence to antiretroviral therapy (ART) continues to undermine HIV treatment outc...

Correction: Introducing artificial intelligence in acute psychiatric inpatient care: qualitative study of its use to conduct nursing observations.

AMI-SSS01 portable phonocardiographic examination with AI-assisted assessment for detecting heart failure exacerbations in home-based medical care in Japanese primary care clinics: a study protocol for a randomised controlled feasibility trial.

INTRODUCTION: The global prevalence of heart failure continues to increase, particularly in ageing p...

Deep learning-based RUL and SOH prediction of lithium-ion batteries using LOCO.

Degradation in lithium-ion batteries negatively affects the reliability, safety, and cost-effectiven...

A deep learning-based automated Solar-Powered Fish Monitoring System.

Green fish farming represents an integrated aquaculture approach that rears aquatic organisms in con...

Risk stratification for in-hospital mortality in sepsis-associated acute kidney injury patients receiving continuous renal replacement therapy: an interpretable, externally validated machine learning study.

Patients with sepsis-associated acute kidney injury (SA-AKI) requiring continuous renal replacement ...

Reproducible bicarbonate thresholds predict critically ill patient mortality in an international personalized survival study.

Bicarbonate abnormalities are common in intensive care unit (ICU) patients, but prior mortality stud...

Identification of depression types and key influencing factors among rural elderly in China: a comprehensive analysis based on machine learning and network analysis.

BACKGROUND: Depression poses a severe public health challenge for older adults, especially in rural ...

Dual-view cross-semantic graph neural network for predicting intraoperative complications in patients with acute myocardial infarction undergoing percutaneous coronary intervention.

For acute myocardial infarction (AMI) patients undergoing percutaneous coronary intervention (PCI), ...

Postoperative Inflammatory and Nutritional Biomarkers for Predicting Anastomotic Leakage After Ovarian Cancer Surgery: A Multicenter Study.

BackgroundUltra-radical cytoreductive surgery is frequently performed for patients with advanced ova...

Artificial Intelligence-Enabled Serial Electrocardiograms for Prediction of All-Cause Mortality in Secondary Care Settings.

BACKGROUND: Prognostic assessment in secondary care settings remains challenging and may influence c...