Hospital-Based Medicine

Intensivists

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

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Showing 1156-1176 of 4,973 articles
Attention-Based Offline Reinforcement Learning and Clustering for Interpretable Sepsis Treatment

Sepsis remains one of the leading causes of mortality in intensive care units, where timely and accu...

Prediction of peripheral blood lymphocyte subpopulations after renal transplantation.

Immune monitoring is essential for maintaining immune homeostasis after renal transplantation (RT). ...

Dec 2025 40369954
Managing waste for production of low-carbon concrete mix using uncertainty-aware machine learning model.

This study introduces an uncertainty-aware AI-driven optimization framework for designing sustainabl...

Aug 2025 40409446
ViLU: Learning Vision-Language Uncertainties for Failure Prediction

Reliable Uncertainty Quantification (UQ) and failure prediction remain open challenges for Vision-...

ViLU: Learning Vision-Language Uncertainties for Failure Prediction

Reliable Uncertainty Quantification (UQ) and failure prediction remain open challenges for Vision-...

Stable-Hair v2: Real-World Hair Transfer via Multiple-View Diffusion Model

While diffusion-based methods have shown impressive capabilities in capturing diverse and complex ...

Bridging Data Gaps of Rare Conditions in ICU: A Multi-Disease Adaptation Approach for Clinical Prediction

Artificial Intelligence has revolutionised critical care for common conditions. Yet, rare conditio...

Cooperative Mapping, Localization, and Beam Management via Multi-Modal SLAM in ISAC Systems

Simultaneous localization and mapping (SLAM) plays a critical role in integrated sensing and commu...

Multi-modal Representations for Fine-grained Multi-label Critical View of Safety Recognition

The Critical View of Safety (CVS) is crucial for safe laparoscopic cholecystectomy, yet assessing ...

Multi-modal Representations for Fine-grained Multi-label Critical View of Safety Recognition

The Critical View of Safety (CVS) is crucial for safe laparoscopic cholecystectomy, yet assessing ...

M$^3$-Med: A Benchmark for Multi-lingual, Multi-modal, and Multi-hop Reasoning in Medical Instructional Video Understanding

With the rapid progress of artificial intelligence (AI) in multi-modal understanding, there is inc...

BlowPrint: Blow-Based Multi-Factor Biometrics for Smartphone User Authentication

Biometric authentication is a widely used security mechanism that leverages unique physiological o...

Rapid diagnosis of lung cancer by multi-modal spectral data combined with deep learning.

Lung cancer is a malignant tumor that poses a serious threat to human health. Existing lung cancer d...

Jul 2025 40073660
Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration

Edge computing enables real-time data processing closer to its source, thus improving the latency ...

CHRONIC CRITICAL ILLNESS IN BONE TRAUMA PATIENTS: AN AI-BASED APPROACH FOR INTENSIVE CARE UNIT HEALTHCARE PROVIDERS.

Background: Chronic critical illness (CCI) is a serious condition characterized by a prolonged cours...

Jul 2025 39965586
GLOBAL TRENDS IN ARTIFICIAL INTELLIGENCE AND SEPSIS-RELATED RESEARCH: A BIBLIOMETRIC ANALYSIS.

Background: In the field of bibliometrics, although some studies have conducted literature reviews a...

Jul 2025 40267504
A systematic methodological evaluation of sepsis guidelines: Protocol for quality assessment and consistency of recommendations.

BACKGROUND: Sepsis is a leading cause of mortality worldwide, characterized by a dysregulated host r...

Jul 2025 40357564
Predictive modeling of ARDS mortality integrating biomarker/cytokine, clinical and metabolomic data.

Acute Respiratory Distress Syndrome (ARDS), characterized by the rapid onset of respiratory failure ...

Jul 2025 40419238
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