Critical Care

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

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Subcategories: Sepsis
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MT-RCAF: A Multi-Task Residual Cross Attention Framework for EEG-based emotion recognition and mood disorder detection.

BACKGROUND AND OBJECTIVE: Prolonged abnormal emotions can gradually evolve into mood disorders such ...

Multi-positive contrastive learning-based cross-attention model for T cell receptor-antigen binding prediction.

BACKGROUND AND OBJECTIVE: T cells play a vital role in the immune system by recognizing and eliminat...

A systematic review of AI as a digital twin for prostate cancer care.

Artificial Intelligence (AI) and Digital Twin (DT) technologies are rapidly transforming healthcare,...

Intelligent Recognition of Goji Berry Pests Using CNN With Multi-Graphic-Occlusion Data Augmentation and Multiple Attention Fusion Mechanisms.

Goji berry is an important economic crop, yet pest infestations pose a significant threat to its yie...

Severe community-acquired pneumonia (sCAP): advances in management and future directions.

Severe community-acquired pneumonia (sCAP) is a major global health challenge, with high morbidity a...

Rapid diagnosis of lung cancer by multi-modal spectral data combined with deep learning.

Lung cancer is a malignant tumor that poses a serious threat to human health. Existing lung cancer d...

spaLLM: enhancing spatial domain analysis in multi-omics data through large language model integration.

Spatial multi-omics technologies provide valuable data on gene expression from various omics in the ...

Mechanically assisted non-invasive ventilation for liver SABR: Improve CBCT, treat more accurately.

BACKGROUND AND PURPOSE: Cone-beam computed tomography (CBCT) for image-guided radiotherapy (IGRT) du...

Time-series deep learning and conformal prediction for improved sepsis diagnosis in primarily Non-ICU hospitalized patients.

PURPOSE: Sepsis, a life-threatening condition from an uncontrolled immune response to infection, is ...

Data-driven multi-hazard susceptibility and community perceptions assessment using a mixed-methods approach.

Assessing multi-hazard susceptibility and understanding community insights are important for effecti...

MHS U-Net: Multi-scale hybrid subtraction network for medical image segmentation.

Medical image segmentation plays a critical role in modern clinical diagnosis. However, existing met...

Ultra-low-power System-on-Chip for automated screening of central apnea and hypopnea via chin electromyography.

Central Apnea (CA) and Central Hypopnea (CH) are sleep disorders arising from the brain's inability ...

Integrating AI/ML and multi-omics approaches to investigate the role of TNFRSF10A/TRAILR1 and its potential targets in pancreatic cancer.

Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal malignancies, with a five-yea...

Diagnostic tools in respiratory medicine (Review).

Recent advancements in diagnostic technologies have significantly transformed the landscape of respi...

Predictive modeling of ARDS mortality integrating biomarker/cytokine, clinical and metabolomic data.

Acute Respiratory Distress Syndrome (ARDS), characterized by the rapid onset of respiratory failure ...

Machine learning in biofluid mechanics: A review of recent developments.

This review paper comprehensively examines recent advancements in machine learning (ML) applications...

Novel robotic tools used for the detection of faecal shedding of Escherichia coli resistant to critically important antimicrobials in healthy dogs.

Escherichia coli recovered from dogs with clinical conditions such as urinary tract infections are o...

Precision medicine applications in dilated cardiomyopathy: Advancing personalized care.

Dilated cardiomyopathy (DCM) is a prevalent cardiac disorder affecting 1 in 250-500 individuals, cha...

Next-generation surgical navigation: Marker-less multi-view 6DoF pose estimation of surgical instruments.

State-of-the-art research of traditional computer vision is increasingly leveraged in the surgical d...

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