Critical Care

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

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Showing 2374-2394 of 5,066 articles
A new machine learning approach for predicting the response to anemia treatment in a large cohort of End Stage Renal Disease patients undergoing dialysis.

Chronic Kidney Disease (CKD) anemia is one of the main common comorbidities in patients undergoing E...

Mar 2015 25864164
[Robot-assisted surgery in visceral and thoracic surgery gynaecology, urology--importantanaesthetic considerations].

Robot-assisted surgery, as a development of laparoscopic surgery, has an increasing field of applica...

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Feb 2015 25723602
Development of system using beam's eye view images to measure respiratory motion tracking errors in image-guided robotic radiosurgery system.

The accuracy of the CyberKnife Synchrony Respiratory Tracking System (SRTS) is considered to be pati...

(2)
Jan 2015 25679160
Mortality prediction in intensive care units with the Super ICU Learner Algorithm (SICULA): a population-based study.

BACKGROUND: Improved mortality prediction for patients in intensive care units is a big challenge. M...

Nov 2014 25466337
A robust method for online heart sound localization in respiratory sound based on temporal fuzzy c-means.

This work presents a detailed framework to detect the location of heart sound within the respiratory...

Oct 2014 25326867
Procalcitonin Strip Test as an Independent Predictor in Acute Pancreatitis.

Plasma procalcitonin (PCT) is a highly specific marker for the diagnosis of bacterial infection and ...

(2)
Jun 2014 27011501
Cholesterol Paradox: Multi-point Heart Failure Prediction from Lipid Panels in Electronic Health Records

In cardiovascular medicine, low-density lipoprotein cholesterol (LDL-C) is the main lipid marker use...

Digital Twin Workflow for Continuous Glucose Forecasting: Real-Time Data Assimilation Using Reinforcement Learning

Digital twins for physiological forecasting require robust mechanisms for continuously assimilating ...

Canonical Klebsiella pneumoniae virulence factors and strain lineage are not primary drivers of patient mortality

Background: Klebsiella pneumoniae is a global pathogen with significant rates of antimicrobial resis...

LeakBench: Auditing Reward Hacking through Prediction-Time Leakage in Clinical Modeling Agents

Autonomous clinical-modeling agents can optimize predictive performance while violating conditions t...

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ClinSDT: LLM-Encoded Clinical Semantic Guidance for Sepsis Treatment via Decision Transformer

Offline sepsis treatment aims to learn treatment policies from retrospective ICU trajectories. Decis...

PCXR-Copilot: Device-aware pediatric chest radiographic analysis with segmentation, suppression, and edema-related cues

Patients admitted to pediatric ICU and cardiac ICU often require intensive perioperative support and...

From Clinical Risk Prediction to Operational Decisions: An Uncertainty-Aware Framework for ICU Staffing

Advances in electronic health records (EHR) and large-scale critical care databases have enabled the...

Learning Who Benefits Most: Multi-Treatment Causal Ranking for Population Health Stratification

Population health stratification frameworks, such as the Italian DM77, organize patients by clinical...

DoReMe: Dual optimization of Reconstruction and Motion estimation for self-navigated free-breathing abdominal MRI using Gaussian Splatting

Purpose: Free-breathing abdominal MRI is limited by respiratory motion, which introduces image artif...

Dual-Domain Sparse-View 4D CBCT Reconstruction with Spatial-Temporal Consistency Learning

Four-dimensional cone-beam computed tomography (4D CBCT) provides phase-resolved volumetric images f...

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TextVBench: Evaluating Text Rendering and Preservation in Video Generation

Modern video generators can synthesize convincing scenes while rendering a few characters incorrectl...

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