Hospital-Based Medicine

Identifying Patients at Elevated Risk of Stroke After.

BACKGROUND: Transcarotid artery revascularization (TCAR) has assumed a significant role in the surgical treatment of extracranial carotid occlusive disease in current practice. Yet, TCAR specific factors which predispose to periprocedural stroke remain poorly characterized. The purpose of this analysis was to identify factors which may inherently predispose to adverse outcomes in patients undergoi...

From technology adoption to noise reduction: Behavioral and psychological dimensions of clinical artificial intelligence deployment.

For more than five decades, patients with the same condition have received markedly different care depending on which clinician they happen to see. This unwarranted clinical variation has been documented in nearly every field of medicine, and decades of standardization efforts have not eliminated it. Artificial intelligence (AI) seemed to promise a fix: an algorithm would give the same answer ever...

Multimedia ecological risk deciphering and sediment source apportionment of potentially toxic elements in a typical coastal bay: A combined PMF-SOM-GIS approach.

As transitional zones of landsea interactions, bays are facing increasingly severe anthropogenic pollution pressures. To systematically assess these i...

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 deep learning features from dual-phase computed tomog...

Improving Nitrogen Use Efficiency in Wheat: Integrating Agronomic, Genomics, and Remote Sensing for Sustainable Production.

Improving nitrogen use efficiency (NUE) in wheat is critical for addressing the dual challenges of global food security and environmental sustainabili...

Standardizing PSMA PET/CT reporting in prostate cancer: from structured frameworks to AI-assisted interpretation.

PSMA PET/CT is increasingly used for prostate cancer staging, restaging, treatment selection, and therapy response assessment. In parallel, several in...

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 stratify carbapenem-resistance probability among ICU pati...

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 undergoing hematopoietic stem cell transplantation (HS...

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 outcomes in sub-Saharan Africa, including Ghana. OBJEC...

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 populations. Many older patients receiving home-bas...

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-effectiveness of modern energy storage systems, making accur...

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

Green fish farming represents an integrated aquaculture approach that rears aquatic organisms in controlled environments to improve production efficie...

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 therapy (CRRT) have a high risk of in-hospital mor...

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 studies neglected critical illness pathophysiology. Th...

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 China. In rural settings, the heavy burden of chro...

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), accurate prediction of intraoperative complication...

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 ovarian cancer (OC). However, anastomotic leakage (AL...

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 clinical decision-making and follow-up. Artificial ...

Development and validation of artificial intelligence-assisted volumetric response criteria in pleural mesothelioma (ARTIMES): a retrospective, multicohort, multicentre study.

BACKGROUND: Response evaluation in pleural mesothelioma is challenging because its crescent growth pattern is poorly captured by diameter-based criter...