Critical Care

The effects of fatigue on the relation between ocular pursuit and interceptive performance in soccer experts.

Accuracy and duration of ocular pursuit of a target object have been linked to interceptive performance. Yet, previous assessments have not examined this relationship in the context of fatigue. We assessed the relationship between ocular pursuit and interceptive performance under peripheral and central + peripheral fatigue conditions. We determined ventilatory thresholds in n = 17 soccer experts u...

scFNSA: A Factorized Node-Set Attentive Framework for Single-Cell Multi-Omics Integration.

Single-cell multi-omics technologies enable simultaneous interrogation of transcriptional and epigenomic states at single-cell resolution, providing powerful means to dissect cellular heterogeneity and regulatory mechanisms. However, effective integration of single-cell multi-omics data remains challenging due to extreme sparsity, high dimensionality, and cross-modal heterogeneity, which often lea...

AI-driven Predictive Models in Endourological Treatment of Urolithiasis: A Systematic Review of Nomogram Applications from EAU Endourology.

BACKGROUND: Artificial intelligence (AI) is increasingly applied in endourology to enhance surgical planning, risk stratification, and outcome predict...

DFCNet: A Precise Detection Approach for Obstructive Sleep Apnea-Hypopnea Events Using Airflow and Respiratory Effort Signals.

OBJECTIVE: The diagnosis of Sleep Apnea-Hypopnea Syndrome (SAHS) holds significant importance for assessing sleep quality and treating sleep disorders...

Next-generation AI for visually occult pancreatic cancer detection in a low-prevalence setting with longitudinal stability and multi-institutional generalisability.

BACKGROUND: Failure of conventional imaging to detect pancreatic ductal adenocarcinoma (PDA) at its visually occult pre-diagnostic stage is a primary ...

MIMIC-III-Ext-PPG, a PPG-based Benchmark Dataset for Cardiovascular and Respiratory Signal Analysis.

We present MIMIC-III-Ext-PPG, a large-scale, quality-assessed photoplethysmography (PPG) dataset derived from the matched waveform subset of MIMIC-III...

Risk prediction models for imported infectious diseases: A systematic review.

OBJECTIVES: Accurate prediction models for imported infectious diseases are essential for early warning, cross-border surveillance, and resource alloc...

Prospective genomic and epidemiologic surveillance of Klebsiella pneumoniae in a tertiary NICU.

BACKGROUND: Klebsiella pneumoniae complex (Kp) is a relevant neonatal pathogen colonizing preterm infants. While outbreak investigations often focus o...

Artificial intelligence and computerized decision support in adult intensive care: A systematic review of randomized controlled trials.

BACKGROUND: Artificial intelligence (AI) and computerized clinical decision support systems (CDSS) are increasingly applied in intensive care, yet the...

Machine Learning Models Using Hospital Admission Characteristics Do Not Optimally Predict Nosocomial Infection Development in a Global Cirrhosis Cohort.

BACKGROUND: Nosocomial infections (NI) in cirrhosis are associated with high mortality but could be preventable. Logistic regression (LR) models have ...

Enhanced graph attention network by integrating Long Short-Term Memory for artificial emotion representation in multi-modality datasets.

Emotion representation is a critical aspect of artificial intelligence, particularly in human-computer interaction and affective computing. Emotion re...

Identification and multi-layered experimental validation of feature genes related to butyrate metabolism and oxidative stress in sepsis.

The mechanisms underlying sepsis remain poorly understood and specific therapeutic options remain lacking. Accumulating evidence suggests that butyrat...

Real-Time Evaluation of a Large Language Model for Clinical Practice Guideline Development.

BACKGROUND: The purpose of this study was to evaluate the capability of a large language model (LLM) for performing each of the steps of clinical prac...

External Validation of the PIPRA Model for Postoperative Delirium Prediction in a Japanese ICU Cohort: Integrating AI-Based Risk Assessment into Perioperative Care.

BACKGROUND: Postoperative delirium (POD) is a prevalent and serious complication in older surgical patients, linked to prolonged hospitalization, high...

Prediction of the respiratory disease incidence based on environmental factors using machine learning techniques in Penang, Malaysia.

Traditional statistical models often struggle to accurately predict global burden of respiratory diseases due to the complex and interdependent nature...

Automated estimation of drain output in postoperative patients using deep learning on clinical images.

Postoperative drains are essential components of care in general surgery and intensive care units, where accurate monitoring of drain output is critic...

Development and validation of a machine learning model for predicting positive blood cultures using vital signs in ICU patients.

Bloodstream infections require timely and appropriate diagnosis and treatment, as inadequate management is associated with higher mortality. Previous ...

Association between platelet-albumin-bilirubin score and 30-day in-hospital mortality in patients with sepsis: evidence from a large database and machine learning modeling.

A multimodal fusion network for heart sound abnormality detection and classification.

OBJECTIVE: Accurate physiological assessment of cardiac function from heart sounds remains challenging due to background noise, variable heart rat...

Emerging technologies and AI-assisted tools in cardiopulmonary monitoring.

PURPOSE OF REVIEW: Cardiopulmonary monitoring is fundamental to critical care, yet traditional approaches rely on simplified thresholds that capture o...