Critical Care

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

5,092 articles
Stay Ahead - Weekly Critical Care research updates
Subscribe
Browse Categories
Subcategories: Sepsis
Showing 2206-2226 of 5,092 articles
CARE: Towards Clinical Accountability in Multi-Modal Medical Reasoning with an Evidence-Grounded Agentic Framework

Large visual language models (VLMs) have shown strong multi-modal medical reasoning ability, but mos...

VGGT-Det: Mining VGGT Internal Priors for Sensor-Geometry-Free Multi-View Indoor 3D Object Detection

Current multi-view indoor 3D object detectors rely on sensor geometry that is costly to obtain (i.e....

Development of a Multi-Trait Polygenic Score for Intrinsic Capacity

Background: Intrinsic capacity (IC) is a key marker of healthy ageing, which captures an individuals...

OmniZip: Learning a Unified and Lightweight Lossless Compressor for Multi-Modal Data

Lossless compression is essential for efficient data storage and transmission. Although learning-bas...

Learning to Fuse and Reconstruct Multi-View Graphs for Diabetic Retinopathy Grading

Diabetic retinopathy (DR) is one of the leading causes of vision loss worldwide, making early and ac...

RelA-Diffusion: Relativistic Adversarial Diffusion for Multi-Tracer PET Synthesis from Multi-Sequence MRI

Multi-tracer positron emission tomography (PET) provides critical insights into diverse neuropatholo...

A Statistical Approach for Modeling Irregular Multivariate Time Series with Missing Observations

Irregular multivariate time series with missing values present significant challenges for predictive...

CardioPulmoNet: Modeling Cardiopulmonary Dynamics for Histopathological Diagnosis

Objective: This study investigates whether incorporating physiological coupling concepts into neural...

Machine Intelligence-Driven Forecasting for ED Triage and Dynamic Hospital Patient Routing

Overcrowding of emergency departments (ED) is now a problem of global health care concern due to the...

Formally Verifying and Explaining Sepsis Treatment Policies with COOL-MC

Safe and interpretable sequential decision-making is critical in healthcare, yet reinforcement learn...

MILD: Multi-Intent Learning and Disambiguation for Proactive Failure Prediction in Intent-based Networking

In multi-intent intent-based networks, a single fault can trigger co-drift where multiple intents ex...

Noradrenergic neuromodulation produces a NMDAR-dependent network state of respiratory rhythmogenesis in the preBotzinger Complex

Norepinephrine (NE) is an important mediator of sympathetic activity that influences breathing. At t...

Development and Validation of the Intensive Documentation Index for ICU Mortality Prediction: A Temporal Validation Study

Background: Nursing documentation patterns may reflect patient acuity and clinical deterioration, ye...

Deep Learning-Based Missing Value Imputation for Heart Failure Data from MIMIC-III: A Comparative Study of DAE, SAITS, and MICE+LightGBM

Background: Inadequate data in electronic health records can create problems for clinical decision s...

Enhancing Predictability of Multi-Tenant DNN Inference for Autonomous Vehicles' Perception

Autonomous vehicles (AVs) rely on sensors and deep neural networks (DNNs) to perceive their surround...

Interpretable machine learning model for predicting kidney failure among CAKUT children in multicenter large-scale study

Congenital anomalies of the kidney and urinary tract (CAKUT) are the leading cause of pediatric kidn...

How Much Reasoning Do Retrieval-Augmented Models Add beyond LLMs? A Benchmarking Framework for Multi-Hop Inference over Hybrid Knowledge

Large language models (LLMs) continue to struggle with knowledge-intensive questions that require up...

Browse Categories