Critical Care

Latest AI and machine learning research in critical care for healthcare professionals.

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Heat to hypoxia cross-adaptation: Effects of 6-week post-exercise hot-water immersion on exercise performance in acute hypoxia.

Cross-adaptation occurs when exposure to one environmental stressor (e.g., heat) induces protective ...

Multi-response optimization and validation analysis in the detection of acetochlor and butachlor by HPLC based on D-optimal design methodology.

Acetochlor and butachlor, widely used herbicides, pose environmental and health risks through water ...

Single-port laparoscopic cholecystectomy with indocyanine green: A propensity score study.

INTRODUCTION: This study aims to compare the clinical efficacy of single-incision laparoscopic chole...

Respiratory Exposure to Agriculture Dust Extract Alters Gut Commensal Species and Key Metabolites in Mice.

Exposure to agricultural dust containing antimicrobial-resistant pathogens poses significant health ...

A correlational study of plasma galectin-3 as a potential predictive marker of postoperative delirium in patients with acute aortic dissection.

This study aimed to demonstrate whether plasma galectin-3 could predict the development of postopera...

Radiomic analysis based on machine learning of multi-sequences MR to assess early treatment response in locally advanced nasopharyngeal carcinoma.

ObjectiveThe prediction of early response in locally advanced nasopharyngeal carcinoma (LA-NPC) afte...

Multimodal interpretable data-driven models for early prediction of multidrug resistance using multivariate time series.

Electronic Health Records (EHRs) serve as a comprehensive repository of multimodal patient health da...

MC-ASFF-ShipYOLO: Improved Algorithm for Small-Target and Multi-Scale Ship Detection for Synthetic Aperture Radar (SAR) Images.

Synthetic aperture radar (SAR) ship detection holds significant application value in maritime monito...

Analysis of collapse risks under cut and cover method based on multi-state fuzzy Bayesian network.

The collapse accidents under cut and cover method in metro station construction occurred frequently,...

Sentences, entities, and keyphrases extraction from consumer health forums using multi-task learning.

PURPOSE: Online consumer health forums offer an alternative source of health-related information for...

MLDA-Net: Multi-Level Deep Aggregation Network for 3D Nuclei Instance Segmentation.

Segmentation of cell nuclei from three-dimensional (3D) volumetric fluorescence microscopy images is...

Progressive Distillation With Optimal Transport for Federated Incomplete Multi-Modal Learning of Brain Tumor Segmentation.

Multi-modal Magnetic Resonance Imaging (MRI) provide sufficient complementary information for brain ...

Hypercomplex Graph Neural Network: Towards Deep Intersection of Multi-Modal Brain Networks.

The multi-modal neuroimage study has provided insights into understanding the heteromodal relationsh...

A Lesion-Fusion Neural Network for Multi-View Diabetic Retinopathy Grading.

As the most common complication of diabetes, diabetic retinopathy (DR) is one of the main causes of ...

PMMNet: A Dual Branch Fusion Network of Point Cloud and Multi-View for Intracranial Aneurysm Classification and Segmentation.

Intracranial aneurysm (IA) is a vascular disease of the brain arteries caused by pathological vascul...

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