Hospital-Based Medicine

Intensivists

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

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Showing 463-483 of 4,771 articles
Personalized sepsis mortality prediction: An interpretable machine learning nomogram.

PURPOSE: Sepsis remains a major cause of mortality in ICU patients, requiring accurate prognostic to...

Feb 2026 41691972
A Machine Learning-Based Prognostic Model for Sepsis-Associated Liver Injury Using Routine Indicators.

OBJECTIVE: Sepsis-associated liver injury (SALI) occurs in approximately 40% of sepsis cases and is ...

Feb 2026 41689832
A machine learning model to identify pulmonary embolism in patients admitted to intensive care.

BACKGROUND: Pulmonary embolism (PE) is a leading cause of preventable death, yet statistical predict...

Feb 2026 41690253
Beyond handcrafted radiomics in oncologic imaging: Innovations in deep, explainable, multi-site and multi-omics radiomics approaches.

Radiomics seeks to convert medical images into quantitative biomarkers capable of capturing tumor ph...

Feb 2026 41690886
Clinical Applications of Data Science and Machine Learning in the Pediatric Cardiac Intensive Care Unit.

To synthesize and critically appraise applications of machine learning (ML) in pediatric cardiac int...

(3)
Feb 2026 41677864
Development and evaluation of a prediction model for adult ICU hemorrhage using only continuous cardiorespiratory data.

Develop and evaluate whether a model trained to detect the physiological signature of hemorrhage in ...

Feb 2026 41678967
Emerging Artificial Intelligence Technologies for Evaluation of Dental Composite Restorations: A Scoping Review.

Artificial intelligence (AI) is increasingly applied in restorative dentistry, but its role in asses...

(1)
Feb 2026 41679711
Artificial intelligence and predictive analytics in obstetric anesthesia: early warning for maternal complications.

PURPOSE OF REVIEW: Maternal morbidity and mortality remain largely preventable, yet current risk-ass...

Feb 2026 41684266
Machine learning for hemodynamic instability prediction and hemorrhage management in trauma and perioperative care.

PURPOSE OF REVIEW: Hemodynamic instability and uncontrolled hemorrhage remain leading causes of prev...

(1)
Feb 2026 41684263
Practical machine learning model for early and accurate prediction of disseminated intravascular coagulation before its progression to an overt stage.

BACKGROUND AND AIMS: In patients with sepsis, anticoagulant therapy is expected to have maximal effi...

(1)
Feb 2026 41667115
Artificial intelligence-driven predictive analytics for postoperative management and recovery in trauma patients.

PURPOSE OF REVIEW: Post-traumatic care is evolving from a reactive, protocol-driven paradigm to a pr...

(2)
Feb 2026 41661189
Plasma metabolomic signatures in patients with multidrug-resistant bacterial sepsis.

BACKGROUND AND OBJECTIVE: Multidrug-resistant (MDR) bacterial infections are a leading cause of seps...

Feb 2026 41663846
Development and internal validation of machine learning in predicting prognosis of acute kidney injury patients in resource-limited setting.

BACKGROUND: Machine learning models for predicting acute kidney injury (AKI) prognosis have primaril...

Feb 2026 41655404
Governance Framework for Safe and Ethical Implementation of Artificial Intelligence in Surgery: A Modified-Delphi Consensus.

BACKGROUND: Artificial intelligence (AI)-enabled clinical decision support systems (CDSS) demonstrat...

(1)
Feb 2026 41641894
Explainable machine learning-based 28-day mortality prediction model for elderly patients with acute kidney injury.

Elderly patients with acute kidney injury (AKI) face a significantly increased mortality risk. Recen...

Feb 2026 41645134
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