Critical Care

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

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Dual-domain U-Nets with embedded back projection operators for motion-resolved 4D CBCT reconstruction

Four-dimensional cone beam CT (4D CBCT) is important for image-guided radiation therapy of thoracic ...

MultiCompose: Multi-Concept Personalized Composition with Per-Subject Attribute Binding

Text-to-image diffusion models enable personalization of specific visual concepts from a small numbe...

Federated generative event models for tokenized electronic health records

Electronic health record foundation models are limited by institutionally siloed data and substantia...

Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search

Multi-agent systems (MAS) are increasingly deployed to solve complex tasks. In case of incorrect or ...

DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation

Multi-phase Contrast-Enhanced Computed Tomography (CECT) plays a central role in the diagnosis and c...

Genetic regulation of right ventricular trabeculation identifies developmental and cardiopulmonary pathways

Right ventricular (RV) trabeculation may reflect adaptation to loading conditions and imprinting of ...

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UMI3D: Robust 3D Generation on Unconstrained Multi-Image Inputs via Simultaneous Focus Cross-Attention Routing

Recent 3D foundation models can generate high-quality assets from a single image, but degrade marked...

Learning shared forecast-error structure to improve ensemble forecasts of seasonal respiratory outbreaks

Real-time forecasts of seasonal respiratory outbreaks are critical for public health preparedness an...

ExpertVerse: A General-Purpose Benchmark for Expert-Level Reasoning in Knowledge-Intensive Visual Synthesis

Recent advances in multimodal generative models have enabled instruction-based image generation to m...

Interpretable Machine Learning for Air Pollution and Respiratory Health Prediction: A Socioeconomic Subgroup Analysis

Air pollution and climate-related stressors are increasingly important concerns for respiratory heal...

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models

Recent research in clinical machine learning, focusing on outcome predictions in intensive care unit...

The Swiss Integrated Care (INCA) Study: Description of a Novel Prospective Cohort of Patients and Caregivers in Reimbursed Informal Care

Methods INCA is a prospective, single-center cohort study with nationwide recruitment. Participation...

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PAUSE-Agents: A Clinician-in-the-Loop Multi-Agent AI Pipeline for ICU-to-Ward Handoff Briefs

ICU-to-ward transfers are high-risk transitions marked by information loss and burdensome handoff pr...

Beyond isolated cough events: AI-based tuberculosis screening through temporal analysis of cough sounds

Tuberculosis (TB) is a major global health challenge, with many cases remaining undiagnosed due to l...

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Optimally Predicting Mortality in Patients with Abdominal Aortic Aneurysms

Abdominal aortic aneurysm (AAA) patients in the ICU represent a heterogeneous, high-risk population ...

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Automated Phenotypic Characterization in Rare Hematologic Malignancies Using a Large Language Model-Based Framework

Background. Diagnosis and risk stratification in rare hematologic malignancies such as myeloprolifer...

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