Critical Care

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

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Showing 2647-2667 of 5,066 articles
High Resolution Isotropic 3D Cine imaging with Automated Segmentation using Concatenated 2D Real-time Imaging and Deep Learning

Background: Conventional cardiovascular magnetic resonance (CMR) in paediatric and congenital hear...

[Application of multi-scale spatiotemporal networks in physiological signal and facial action unit measurement].

Multi-task learning (MTL) has demonstrated significant advantages in the field of physiological sign...

(2)
Jun 2025 40566778
IntelliLung: Advancing Safe Mechanical Ventilation using Offline RL with Hybrid Actions and Clinically Aligned Rewards

Invasive mechanical ventilation (MV) is a life-sustaining therapy for critically ill patients in t...

IKDiffuser: Fast and Diverse Inverse Kinematics Solution Generation for Multi-arm Robotic Systems

Solving Inverse Kinematics (IK) problems is fundamental to robotics, but has primarily been succes...

Path-specific effects for pulse-oximetry guided decisions in critical care

Identifying and measuring biases associated with sensitive attributes is a crucial consideration i...

Supervised and unsupervised learning for lung perfusion data segmentation in electrical impedance tomography.

: Effective lung gas exchange relies on the balance between alveolar ventilation and perfusion, whic...

(1)
Jun 2025 40472859
[Acoustic technology empowers the diagnosis and treatment of respiratory diseases: challenges, and prospects].

Respiratory diseases is a major challenge to global public health. In recent years, acoustic technol...

Jun 2025 40491139
Primer on large language models: an educational overview for intensivists.

The integration of artificial intelligence (AI) and machine learning-enabled medical technologies in...

Jun 2025 40506762
Noise Conditional Variational Score Distillation

We propose Noise Conditional Variational Score Distillation (NCVSD), a novel method for distilling...

Exploring nanoparticles in lungs under COPD conditions for nanospray drug flow and deposition: CFD simulations and AI predictions.

Chronic obstructive pulmonary disease (COPD) plays a heavy burden on individuals and the social heal...

Jun 2025 40398668
SAFER: A Calibrated Risk-Aware Multimodal Recommendation Model for Dynamic Treatment Regimes

Dynamic treatment regimes (DTRs) are critical to precision medicine, optimizing long-term outcomes...

ICU-TSB: A Benchmark for Temporal Patient Representation Learning for Unsupervised Stratification into Patient Cohorts

Patient stratification identifying clinically meaningful subgroups is essential for advancing pers...

Predicting ICU In-Hospital Mortality Using Adaptive Transformer Layer Fusion

Early identification of high-risk ICU patients is crucial for directing limited medical resources....

Adaptive Differential Denoising for Respiratory Sounds Classification

Automated respiratory sound classification faces practical challenges from background noise and in...

(3)
Predicting Postoperative Stroke in Elderly SICU Patients: An Interpretable Machine Learning Model Using MIMIC Data

Postoperative stroke remains a critical complication in elderly surgical intensive care unit (SICU...

(2)
Development of Machine-Learning-Based Models for Detection of Cognitive Impairment in Patients Receiving Maintenance Hemodialysis.

BACKGROUND: Cognitive impairment is common but frequently undiagnosed in the dialysis population. We...

Jun 2025 40515595
Development and External Validation of a Detection Model to Retrospectively Identify Patients With Acute Respiratory Distress Syndrome.

OBJECTIVE: The aim of this study was to develop and externally validate a machine-learning model tha...

Jun 2025 40197621
Quantifying Healthcare Provider Perceptions of a Novel Deep Learning Algorithm to Predict Sepsis: Electronic Survey.

IMPORTANCE: Sepsis is a major cause of morbidity and mortality, with early intervention shown to imp...

(1)
Jun 2025 40466050
Machine Learning Accurately Predicts Need for Critical Care Support in Patients Admitted to Hospital for Community-Acquired Pneumonia.

OBJECTIVES: Hospitalized community-acquired pneumonia (CAP) patients are admitted for ventilation, v...

(1)
Jun 2025 40443788
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