Hospital-Based Medicine

Intensivists

Latest AI and machine learning research in intensivists for healthcare professionals.

4,775 articles
Stay Ahead - Weekly Intensivists research updates
Subscribe
Browse Categories
Showing 1282-1302 of 4,775 articles
DataEvolver: Self-Evolving Multi-Agent Data Construction for Text-Rich Image Generation

Text-rich image generation is one of the most challenging settings in image generation, since models...

Cross-LLM AI platform meta-research: Non-inferiority of bovine milk-based fortifiers to human milk-based fortifiers

Necrotizing enterocolitis (NEC), frequently resulting in sepsis, is among the leading causes of morb...

A Reproducible Clinical Decision-Support Suite on MIMIC-IV

Most published clinical-AI results are single models on a single dataset, difficult to reproduce, an...

Automated EEG Classification to Track Levels of Consciousness

Precise prognostication in acute brain injury is limited by a lack of reliable biomarkers of conscio...

Information from coincidences

We prove a single algebraic mixed coincidence identity that unifies a broad swath of information-the...

Label-free Pathogen Identification with Microscopy Imaging and Deep Learning

Rapid and accurate pathogen identification is crucial for the clinical management of infectious dise...

Venice-H1: Failure-Aware Query Re-Ranking with Multi-Scale Grid Signatures for Referring Image Segmentation

Modern Referring Image Segmentation (RIS) systems generate multiple candidate masks per expression b...

Evaluation of EEG Foundation Models for Event-Based Burst-Suppression Detection in ICU

Burst suppression (BS) is a clinically relevant electroencephalographic (EEG) pattern used to monito...

Risk Stratification for ICU Delirium using Pervasive Ambient Sensing Information

Delirium is a common and serious complication in the Intensive Care Unit (ICU), associated with incr...

SPHINX: First Explain, Then Explore

Generating adversarial driving scenarios is critical for evaluating and improving autonomous vehicle...

LegalHalluLens: Typed Hallucination Auditing and Calibrated Multi-Agent Debate for Trustworthy Legal AI

AI systems deployed in legal workflows hallucinate at rates that aggregate metrics report at ~52%, b...

Heterogeneity of Treatment Effect of Aspirin and Clinically Significant Bleeding in Older Adults

Aim: The global population of older adults is growing, and older age is linked to higher bleeding ri...

Vision-Assisted Foundation Model for Solving Multi-Task Vehicle Routing Problems

Multi-task vehicle routing problems play a critical role in enhancing efficiency across various indu...

Can Image Models Imagine Time? ImageTime: A Novel Benchmark for Probing Visual World Modeling Through Spatiotemporal Consistency

Image generation models now produce high-quality static images, yet their ability to represent how a...

IMUG-Bench: Benchmarking Unified Multimodal Models on Interleaved Understanding and Generation

In recent years, unified multimodal models (UMMs) have emerged to support both understanding and gen...

A robust PPG foundation model using multimodal physiological supervision

Photoplethysmography (PPG), a non-invasive measure of changes in blood volume, is widely used in bot...

Calibrated and Interpretable Machine Learning for ICU Mortality Prediction Using First 24-Hour Clinical Data

Objective: To develop, calibrate, and interpret machine learning models for predicting in-hospital m...

A Pan-Cancer Multi-Omic SuperLearner for Regulated Cell Death Survival Topologies

Introduction: Regulated cell death (RCD) pathways profoundly influence tumor progression and immune ...

Browse Categories