Hospital-Based Medicine

Intensivists

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

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Showing 64-84 of 4,771 articles
Dedicated Endoscopy for Barrett's Oesophagus With Higher Dysplasia Yield May Reduce Seattle Protocol Biopsies: Results From UK Multicentre Study.

BACKGROUND: Dedicated service for Barrett's oesophagus (BO) surveillance may be more effective than ...

(1)
Sep 2026 42528176
Harnessing Artificial Intelligence to Strengthen Acute and Critical Care Nursing Practice: A Systematic Review.

BACKGROUND: Artificial intelligence (AI) is reshaping clinical decision support systems (CDSSs). In ...

(6)
Sep 2026 42563433
The Role of Machine Learning and Artificial Intelligence in Enhancing Critical Care Nursing Practice: A Scoping Review.

BACKGROUND: Artificial intelligence (AI) and machine learning (ML) are emerging as transformative to...

(3)
Sep 2026 42638190
Multi-level Transcriptomic and Machine-learning Analyses Identify MZT1 as a Proliferation-associated Prognostic Marker in Lung Adenocarcinoma.

BACKGROUND/AIM: Lung adenocarcinoma (LUAD) exhibits substantial molecular heterogeneity and variable...

(2)
Sep 2026 42674820
Prospective economic evaluation of a predictive artificial intelligence model for sepsis: Effects on hospital costs and return on investment.

Early sepsis detection is essential for improving outcomes and reducing costs, but traditional rule-...

(1)
Aug 2026 42672083
Glucose-to-albumin ratio and mortality in ICU patients with acute pancreatitis.

OBJECTIVES: Acute pancreatitis (AP) carries a high mortality risk in ICU patients. The glucose-to-al...

(3)
Aug 2026 42666811
Identification of RING finger protein-related biomarkers in sepsis based on explainable machine learning: A comprehensive analysis.

OBJECTIVE: To systematically identify RING finger protein (RNF) biomarkers with diagnostic value in ...

(2)
Aug 2026 42691628
Real-Time Dynamic Prediction of Mortality and Renal Replacement Therapy After Cardiac Surgery Using a Time-Series Deep Learning Model.

OBJECTIVE: Predicting postoperative deterioration following cardiac surgery remains challenging. Con...

(1)
Aug 2026 42668112
Development of a machine-learning risk stratification tool for vasoactive medication need after two-bolus fluid resuscitation in pediatric suspected sepsis.

BACKGROUND: Timely vasopressor initiation is critical in fluid-refractory pediatric septic shock, ye...

(2)
Aug 2026 42668278
The LoVe score: Development and validation of a bedside clinical index to identify patients at risk for prolonged invasive mechanical ventilation.

BACKGROUND: Early management decisions after intubation, such as humidification strategy or initiati...

(1)
Aug 2026 42668746
Traumatic Brain Injury: Multi-Omics Insights into Brain Aging, Neurodegeneration, and Precision Therapeutics.

Traumatic brain injury (TBI) is a major cause of mortality and persistent neurological disability an...

(1)
Aug 2026 42660464
Comparison of Machine Learning-Based Reporting with Surgeon Reporting of Postoperative Complication in Cardiothoracic Morbidity and Mortality Conferences.

BACKGROUND: Traditional morbidity and mortality (M&M) conferences incompletely capture postoperative...

(5)
Aug 2026 42657859
Completely free-breathing cardiac MRI using deep learning reconstruction reduces sedation and scan time in children.

BACKGROUND: Traditional cardiac magnetic resonance (CMR) imaging scan times are long and require bre...

(1)
Aug 2026 42658264
Leveraging ECG foundation models in critical care for sinus rhythm and atrial fibrillation classification.

BACKGROUND: Recent advances in deep learning have led to the development of ECG foundation models (E...

(2)
Aug 2026 42645736
[Development and validation of an explainable machine learning-based model for predicting mortality risk in polytrauma patients].

Polytrauma is commonly defined as multisystem trauma involving at least two body regions with an Abb...

(1)
Aug 2026 42656108
ICU Open-Access Databases for Artificial Intelligence in Sepsis: Balancing Innovation With Data Quality Challenges.

OBJECTIVES: To evaluate the suitability of three major open-access ICU databases (Medical Informatio...

(1)
Aug 2026 42635479
Artificial count enhancement in lung scintigraphy for acquisition acceleration and pseudo-planar generation.

Ventilation-perfusion (V/Q) planar scintigraphy remains widely used for diagnosing pulmonary em...

(2)
Aug 2026 42628570
Machine learning prediction of the change in sleepiness following continuous positive airway pressure in obstructive sleep apnea: a multi-cohort analysis.

STUDY OBJECTIVES: To predict the improvement in sleepiness following continuous positive airway pres...

(1)
Aug 2026 42623284
Pulmonary function estimation and reliability assessment using hybrid-optimized ensemble learning.

Objective.Pulmonary function tests are central to assessing ventilatory impairment but are often lim...

Aug 2026 42561996
Severity scoring systems in intensive care: new models, or continuous recalibration?

PURPOSE OF REVIEW: To review how ICU illness severity scoring systems perform across settings and ov...

(1)
Aug 2026 42625358
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