Critical Care

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

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Showing 2710-2730 of 5,099 articles
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts

Evaluating the quality of synthesized images remains a significant challenge in the development of...

Sharp-It: A Multi-view to Multi-view Diffusion Model for 3D Synthesis and Manipulation

Advancements in text-to-image diffusion models have led to significant progress in fast 3D content...

A Machine Hearing System for Robust Cough Detection Based on a High-Level Representation of Band-Specific Audio Features

Cough is a protective reflex conveying information on the state of the respiratory system. Cough a...

MCBLT: Multi-Camera Multi-Object 3D Tracking in Long Videos

Object perception from multi-view cameras is crucial for intelligent systems, particularly in indo...

Building a Risk Scoring Model for ARDS in Lung Adenocarcinoma Patients Using Machine Learning Algorithms.

Lung adenocarcinoma (LUAD), the predominant form of non-small-cell lung cancer, is frequently compli...

Dec 2024 39656479
A Respiratory Signal Monitoring Method Based on Dual-Pathway Deep Learning Networks in Image-Guided Robotic-Assisted Intervention System.

BACKGROUND: Percutaneous puncture procedures, guided by image-guided robotic-assisted intervention (...

Dec 2024 39718347
Artificial Intelligence-Driven Precision Medicine: Multi-Omics and Spatial Multi-Omics Approaches in Diffuse Large B-Cell Lymphoma (DLBCL).

In this comprehensive review, we delve into the transformative role of artificial intelligence (AI) ...

Nov 2024 39735973
MIN: Multi-channel Interaction Network for Drug-Target Interaction with Protein Distillation

Traditional drug discovery processes are both time-consuming and require extensive professional ex...

Enhancing Glucose Level Prediction of ICU Patients through Hierarchical Modeling of Irregular Time-Series

Accurately predicting blood glucose (BG) levels of ICU patients is critical, as both hypoglycemia ...

Off-Policy Selection for Initiating Human-Centric Experimental Design

In human-centric tasks such as healthcare and education, the heterogeneity among patients and stud...

MixEHR-Nest: Identifying Subphenotypes within Electronic Health Records through Hierarchical Guided-Topic Modeling

Automatic subphenotyping from electronic health records (EHRs)provides numerous opportunities to u...

Comparative Analysis of Multi-Omics Integration Using Advanced Graph Neural Networks for Cancer Classification

Multi-omics data is increasingly being utilized to advance computational methods for cancer classi...

M$^{2}$M: Learning controllable Multi of experts and multi-scale operators are the Partial Differential Equations need

Learning the evolutionary dynamics of Partial Differential Equations (PDEs) is critical in underst...

GATher: Graph Attention Based Predictions of Gene-Disease Links

Target selection is crucial in pharmaceutical drug discovery, directly influencing clinical trial ...

PRAGA: Prototype-aware Graph Adaptive Aggregation for Spatial Multi-modal Omics Analysis

Spatial multi-modal omics technology, highlighted by Nature Methods as an advanced biological tech...

External Testing of a Deep Learning Model to Estimate Biologic Age Using Chest Radiographs.

Purpose To assess the prognostic value of a deep learning-based chest radiographic age (hereafter, C...

Sep 2024 39046324
A tailored machine learning approach for mortality prediction in severe COVID-19 treated with glucocorticoids.

BACKGROUNDThe impact of severe COVID-19 pneumonia on healthcare systems highligh...

Sep 2024 39187998
Explainable Artificial Intelligence for Early Prediction of Pressure Injury Risk.

BACKGROUND: Hospital-acquired pressure injuries (HAPIs) have a major impact on patient outcomes in i...

Sep 2024 39217110
Multi-scale Multi-instance Visual Sound Localization and Segmentation

Visual sound localization is a typical and challenging problem that predicts the location of objec...

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