Critical Care

Development and evaluation of a multi-source machine learning model to predict critical illness and death in patients with substance misuse.

OBJECTIVES: Patients with substance misuse are at high risk for clinical deterioration, and pre-hospital encounters constitute important risk factors. We sought to incorporate these risk factors into a novel prediction model using linked electronic health record, emergency medical services (EMSs), and claims data. MATERIALS AND METHODS: Using 23 454 hospital encounters, we developed machine-learni...

Cross-Silo Federated Learning for Predicting Successful Mechanical Ventilation Weaning Across 5 Intensive Care Unit Databases: Retrospective Database Analysis.

BACKGROUND: The prediction of weaning from mechanical ventilation (MV) can support clinical decision-making and help reduce the risk of weaning failure in intensive care units (ICUs). Cross-silo federated learning (FL) offers a promising approach to developing robust predictive models across multiple institutions without requiring the sharing of patient-level data. OBJECTIVE: This study aimed to e...

"Early Stratification of Risk for Poor Neurological Outcome After Cardiac Arrest Is Improved with Processed EEG Data".

AIM: To evaluate the impact of adding early processed quantitative EEG biomarkers to health record data for early neurological risk stratification aft...

Clinical Utility of LLM-assisted Chart Review for the Detection of Bleeding Events.

INTRODUCTION: Red blood cell (RBC) transfusions are frequently administered in the intensive care unit (ICU) and are independently associated with inc...

Characterization of prostate MRI focal lesions by combining human reading, artificial intelligence and prostate-specific antigen density: A multi-reader study.

PURPOSE: The purpose of this study was to compare, across readers with varying experience, the characterisation of prostate MRI lesions as grade group...

Interpretable modeling for material transportation process in an industrial cement vertical roller mill.

Vertical roller mills (VRMs) dominate cement finish grinding because of their high efficiency and dry operation. However, the interaction among ventil...

Research progress of confocal laser endomicroscopy in malignant respiratory diseases: A review.

The diagnosis and monitoring of malignant respiratory diseases are heavily reliant on imaging techniques and tissue biopsies. Confocal laser endomicro...

Exploring Senior Dental Students' Readiness and Perceptions of Artificial Intelligence in Dentistry: Insights From a Cross-Sectional Study.

BACKGROUND: Artificial intelligence (AI) is increasingly influencing dentistry; however, senior dental students' readiness to understand and use AI re...

Artificial intelligence research in journals indexed in the web of science "infectious diseases" category: a bibliometric analysis, 2016-2025.

PURPOSE: Artificial intelligence (AI) is increasingly being applied in the field of infectious diseases. This study aimed to characterize publication ...

A large language model-driven multidisciplinary AI agent system predicts delirium in emergency critically ill patients.

Delirium occurs frequently in emergency departments and is associated with poor outcomes and increased burden. Early delirium risk prediction is cruci...

Moral distress risk profiling in ICU nurses: A cross-sectional study.

BackgroundMoral distress is common among ICU nurses and has been linked to burnout, diminished care quality, and turnover. Which factors matter most -...

Development and Validation of a Machine Learning-Based Bedside Score (IPA-2T2C2DW) for Invasive Pulmonary Aspergillosis in Critically Ill Non-Neutropenic Immunocompromised Hosts.

OBJECTIVE: To develop and validate machine learning-based diagnostic models for IPA using data available within 24 hours of ICU admission, construct t...

Physics-Aware Machine-Learning-Driven Inverse Design of Broadband Ultra-Open Acoustic Metamaterials.

Ventilated acoustic silencers combining strong sound attenuation with high ventilation are pivotal for advanced noise control. However, balancing atte...

Seismo-Mat: mattress-embedded inertial sensors for unobtrusive monitoring of heart rate, respiratory rate, and bed occupancy during sleep.

OBJECTIVE: Continuous monitoring of heart rate (HR) and respiratory rate (RR) during sleep may support longitudinal assessment and the identification ...

Rapid Resolution of Hypoxemia is Common and Associated with Lower Mortality Among Intubated Patients with Acute Hypoxemic Respiratory Failure.

ObjectiveTo evaluate the prevalence, clinical trajectory, and biologic phenotype of patients with rapidly improving acute hypoxemic respiratory failur...

A multi-scale fusion model based on multi-phase contrast-enhanced CT for predicting pancreatic cancer resectability.

Purpose Develop a multi-scale fusion model (MSFM) based on multi-phase contrast-enhanced computed tomography (CECT) to predict pancreatic cancer (PC) ...

A Large Language Model-Based Simulation Protocol Using ChatGPT for Training Novice Critical Care Nurses in Family Crisis Communication and De-escalation.

High-stress conversations with family members in distress are a common part of the intensive care unit (ICU) nursing environment. Novice critical care...

PRIMEdit: Probability Redistribution for Instance-Aware Multi-Object Video Editing With a New Benchmark Dataset.

Recent Artificial Intelligence (AI)-based video editing has enabled users to edit videos through simple text prompts, significantly simplifying the ed...

Perspective: The Future of Peritoneal Dialysis in the Era of Telemedicine and Artificial Intelligence.

Peritoneal dialysis (PD) represents one of the major modalities for home-based renal replacement therapy, offering autonomy and flexibility to patient...

Clonal hematopoiesis of undetermined potential as an emerging determinant of inflammageing, and age-related diseases: potential role as biomarker and target.

Clonal hematopoiesis of undetermined potential (CHIP), initially discovered as a mere hematological curiosity, now represents a clinically significant...