Critical Care

Wearable fatigue detection system for wheelchair propulsion: Identifying key muscles via an attention-based LSTM Model.

Fatigue induces adverse short- and long-term health risks in wheelchair users. This study aimed to develop a machine learning approach to predict fatigue onset during wheelchair incremental exercise via surface electromyography (sEMG). sEMG from eight upper-limb muscles and oxygen uptake data were collected from nine wheelchair users (3 females, 6 males) performing incremental wheelchair propulsio...

Data-driven subtypes of postoperative delirium in surgical ICU patients: a secondary analysis of a prospective cohort study.

BACKGROUND: Postoperative delirium (POD) is a heterogeneous syndrome associated with adverse outcomes. Traditional classifications may obscure underlying pathophysiological differences. Data-driven subtyping may reveal this heterogeneity and guide more precise management. METHODS: We performed a secondary exploratory analysis of a prospective cohort of adult surgical ICU patients who developed POD...

Design and optimization of deep learning model based on multimodal data fusion for dynamic mental health assessment.

The dynamic assessment of mental health has emerged as a hotspot for study and application due to the rise in social pressure. However, onventional me...

Expert Augmented Prediction of Circulatory and Respiratory Instability from High Resolution Vital Signs.

Timely detection of circulatory and respiratory instability (CRI) is critical in intensive care units (ICUs), yet existing early warning systems often...

Personalized survival prediction in elderly dialysis patients: integrating machine learning with traditional survival analysis.

BACKGROUND: Elderly patients undergoing kidney replacement therapy (KRT) face high mortality rates. Traditional statistical models describe overall su...

[Chinese guideline for the diagnosis and treatment of hospital-acquired pneumonia and ventilator-associated pneumonia in adults (2026 edition): protocol].

This document serves as the protocol for the development of the Chinese Guideline for the Diagnosis and Treatment of Hospital-Acquired Pneumonia and V...

Genotypic-phenotypic concordance of Pasteurella multocida isolated from bovine respiratory disease cases.

Pasteurella multocida is a respiratory pathogen that is frequently isolated from cattle suffering from bovine respiratory disease (BRD), a leading cau...

MXene-Configured Intelligent Mask for Long-Term Sleep Breathing Assessment during Assisted Ventilation.

Positive airway pressure therapy serves as a core therapeutic strategy for sleep-disordered breathing, with its efficacy generally evaluated via sleep...

Semi-supervised ensemble learning with interval type-2 fuzzy-rough sets for Parkinson's disease prediction from multi-omics.

Parkinson's disease (PD) is a disorder involving progressive degeneration of the nervous system. Its clinical signs typically become noticeable only a...

Explainable early prediction of short-term severe deterioration in gallstone-related biliary disease using MIMIC-IV, eICU, and local real-world data.

BACKGROUND: Patients with gallstone-related biliary disease may deteriorate rapidly before definitive source control. This study aimed to develop an i...

Integrating untargeted metabolomics and machine learning to reveal an aberration of sphingolipid metabolism in cardiometabolic HFpEF.

BACKGROUND: Cardiometabolic heart failure with preserved ejection fraction (HFpEF) is a high-risk phenotype primarily driven by metabolic syndrome, wi...

Multiple machine learning models for predicting major adverse cardiovascular events in dialysis with clinical and echocardiographic parameters: a retrospective cohort study.

BACKGROUND: Patients undergoing dialysis are at an elevated risk of cardiovascular events. This study aimed to develop machine learning (ML) predictio...

Artificial Intelligence in Peritoneal Dialysis: Applications, Algorithms, and Future Directions.

BACKGROUND: Peritoneal dialysis (PD) naturally lends itself to artificial intelligence (AI) integration due to its generation of dense, longitudinal a...

Pulmonary nodule prediction in the multi-omics era: integrating radiomics, AI, liquid biopsy, and airway classifiers.

Low-dose CT (LDCT) lung cancer screening significantly reduces mortality but has dramatically increased the detection of pulmonary nodules. Most of th...

Structure-aware fatigue modeling in foot deformities: A digital health framework for tissue-specific running injury risk prediction using multi-modal data.

Hallux Valgus (HV) is a common deformity in runners that reflects altered foot morphology and thereby redistributes mechanical loads along the lower l...

Performance evaluation of five major large language models in tuberculosis Q&A systems: A multidimensional assessment of readability, quality, and reliability.

BACKGROUND: Pulmonary tuberculosis (TB) is a chronic infectious disease that burdens patients and public health systems. Limited reach of traditional ...

A late fusion multi-task learning for respiratory waveform and rate estimation from photoplethysmography.

Continuous respiratory monitoring enables early detection of physiological deterioration, yet conventional capnography remains impractical for prolong...

Bioinformatics analysis reveals the association of bile acid metabolism-related genes with sepsis.

BACKGROUND: Sepsis, is a life-threatening syndrome triggered by infection. Bile acid metabolism may be involved in the pathogenesis of sepsis, the und...

Machine learning approach to analyzing complex care coordination patterns for medically complex children.

BACKGROUND: The number of children with medical complexity (CMC) in Japan has exceeded 20,000, doubling over the past 15 years, forming a significant ...

LWF-YOLO: a lightweight framework based YOLO for blood cell detection.

Accurate detection of blood cells-red blood cells, white blood cells, and platelets-is essential for diagnosing hematological disorders such as anemia...