Critical Care

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

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Two-Stream Thermal Imaging Fusion for Enhanced Time of Birth Detection in Neonatal Care

Around 10% of newborns require some help to initiate breathing, and 5\% need ventilation assistanc...

Benchmarking ensemble machine learning algorithms for multi-class, multi-omics data integration in clinical outcome prediction.

The complementary information found in different modalities of patient data can aid in more accurate...

Mar 2025 40116658
Federated transfer learning with differential privacy for multi-omics survival analysis.

Multi-omics data often suffer from the "big $p$, small $n$" problem where the dimensionality of feat...

Mar 2025 40230038
Development of a Deep Learning Model for the Prediction of Ventilator Weaning

The issue of failed weaning is a critical concern in the intensive care unit (ICU) setting. This s...

Bridging Spectral-wise and Multi-spectral Depth Estimation via Geometry-guided Contrastive Learning

Deploying depth estimation networks in the real world requires high-level robustness against vario...

Artificially Generated Visual Scanpath Improves Multi-label Thoracic Disease Classification in Chest X-Ray Images

Expert radiologists visually scan Chest X-Ray (CXR) images, sequentially fixating on anatomical st...

Multiple Linked Tensor Factorization

In biomedical research and other fields, it is now common to generate high content data that are b...

Improving Representation Learning of Complex Critical Care Data with ICU-BERT

The multivariate, asynchronous nature of real-world clinical data, such as that generated in Inten...

A Reliable, Time-Predictable Heterogeneous SoC for AI-Enhanced Mixed-Criticality Edge Applications

Next-generation mixed-criticality Systems-on-chip (SoCs) for robotics, automotive, and space must ...

Nonlinear Sparse Generalized Canonical Correlation Analysis for Multi-view High-dimensional Data

Motivation: Biomedical studies increasingly produce multi-view high-dimensional datasets (e.g., mu...

Exploring proteomic signatures in sepsis and non-infectious systemic inflammatory response syndrome

Background: The search for new biomarkers that allow an early diagnosis in sepsis has become a nec...

Benchmarking Retrieval-Augmented Generation in Multi-Modal Contexts

This paper introduces Multi-Modal Retrieval-Augmented Generation (M^2RAG), a benchmark designed to...

AI-driven health analysis for emerging respiratory diseases: A case study of Yemen patients using COVID-19 data.

In low-income and resource-limited countries, distinguishing COVID-19 from other respiratory disease...

Feb 2025 40083282
Composable Strategy Framework with Integrated Video-Text based Large Language Models for Heart Failure Assessment

Heart failure is one of the leading causes of death worldwide, with millons of deaths each year, a...

Unmasking Societal Biases in Respiratory Support for ICU Patients through Social Determinants of Health

In critical care settings, where precise and timely interventions are crucial for health outcomes,...

M4SC: An MLLM-based Multi-modal, Multi-task and Multi-user Semantic Communication System

Multi-modal Large Language Models (MLLMs) are capable of precisely extracting high-level semantic ...

One-step Diffusion Models with $f$-Divergence Distribution Matching

Sampling from diffusion models involves a slow iterative process that hinders their practical depl...

Prediction of Clinical Complication Onset using Neural Point Processes

Predicting medical events in advance within critical care settings is paramount for patient outcom...

Multi-Turn Multi-Modal Question Clarification for Enhanced Conversational Understanding

Conversational query clarification enables users to refine their search queries through interactiv...

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