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Subcategories: Hospitalists Infection Control Intensivists Nursing Risk Management Surveillance

Showing 736-756 of 8,356 articles

How well does GPT-4 perform on an emergency medicine board exam? A comparative assessment.

BACKGROUND: Recent advancements in artificial intelligence have shown promise in enhancing diagnosti...

Jul 2025 40610779

Development and external validation of machine learning models for the early prediction of malnutrition in critically ill patients: a prospective observational study.

BACKGROUND: Early detection of malnutrition in critically ill patients is crucial for timely interve...

Jul 2025 40611154

Bridging the gap between models and reality: development of a research environment for an object-oriented hospital information system to integrate artificial intelligence and robotics into clinical practice.

INTRODUCTION: Hospital information systems (HISs) are the main access opportunity for medical profes...

Jul 2025 40608222

Predicting Unplanned Intubations in Rib Fracture Patients: An Interpretable Machine Learning Approach.

BackgroundTraumatic rib fractures can lead to respiratory complications necessitating unplanned intu...

Jul 2025 40608905

Artificial Intelligence in Diagnosis and Prognosis of Cognitive Impairment in Parkinson's Disease.

Parkinson's disease (PD), a progressive neurodegenerative disorder, affects millions globally, with ...

Jul 2025 40609519

Machine learning for the prediction of urosepsis using electronic health record data.

Urosepsis, a medical condition resulting from the progression of urinary tract infection (UTI), is a...

Jul 2025 40608890

Clinical decision support using pseudo-notes from multiple streams of EHR data.

Electronic health records (EHR) contain data from disparate sources, spanning various biological and...

Jul 2025 40604255

Development and validation of a transformer model-based early warning score for real-time prediction of adverse outcomes in the emergency department.

This study aimed to develop and validate a transformer-based early warning score (TEWS) system for p...

Jul 2025 40593229

Soft Robotics for Parkinson's Disease Supported by Functional Materials and Artificial Intelligence.

Progressive neurodegenerative disease known as Parkinson's disease (PD) is characterized by both mot...

Jul 2025 40606522

Artificial intelligence-driven streamlining of prostate cancer multidisciplinary team recommendations in a tertiary NHS centre in the UK.

OBJECTIVES: To evaluate the effectiveness of a rules-based artificial intelligence (AI) clinical dec...

Jul 2025 40590412

Patient radiation safety in the intensive care unit.

The aim of this commentary review was to summarize the main research evidences on radiation exposure...

Jul 2025 40591456

Predictive model of ulcerative colitis syndrome with ensemble learning and interpretability methods.

In recent years, the prevalence of chronic diseases such as Ulcerative Colitis (UC) has increased, b...

Jul 2025 40593010

Identifying real time surveillance indicators to estimate COVID-19 hospital admissions in Colorado during and after the public health emergency.

Questions remain about how best to focus surveillance efforts for COVID-19 and other emerging respir...

Jul 2025 40593931

Modeling the prediction of spontaneous rupture and bleeding in hepatocellular carcinoma via machine learning algorithms.

This study aimed to identify the risk factors associated with spontaneous rupture and bleeding in he...

Jul 2025 40594721

Machine learning to improve predictive performance of prehospital early warning scores.

Early warning scores are used to assess acute patients' risk of being in a critical situation, allow...

Jul 2025 40594836

Development of a machine learning model to identify the predictors of the neonatal intensive care unit admission.

Scientists aim to create a system that can predict the likelihood of newborns being admitted to the ...

Jul 2025 40596456

Profiling short-term longitudinal severity progression and associated genes in COVID-19 patients using EHR and single-cell analysis.

Here we propose CovSF, a deep learning model designed to track and forecast short-term severity prog...

Jul 2025 40596577

Browse Categories

How well does GPT-4 perform on an emergency medicine board exam? A comparative assessment.

Development and external validation of machine learning models for the early prediction of malnutrition in critically ill patients: a prospective observational study.

Bridging the gap between models and reality: development of a research environment for an object-oriented hospital information system to integrate artificial intelligence and robotics into clinical practice.

Predicting Unplanned Intubations in Rib Fracture Patients: An Interpretable Machine Learning Approach.

Artificial Intelligence in Diagnosis and Prognosis of Cognitive Impairment in Parkinson's Disease.

Machine learning for the prediction of urosepsis using electronic health record data.

Clinical decision support using pseudo-notes from multiple streams of EHR data.

Development and validation of a transformer model-based early warning score for real-time prediction of adverse outcomes in the emergency department.

Soft Robotics for Parkinson's Disease Supported by Functional Materials and Artificial Intelligence.

Artificial intelligence-driven streamlining of prostate cancer multidisciplinary team recommendations in a tertiary NHS centre in the UK.

Patient radiation safety in the intensive care unit.

Predictive model of ulcerative colitis syndrome with ensemble learning and interpretability methods.

Identifying real time surveillance indicators to estimate COVID-19 hospital admissions in Colorado during and after the public health emergency.

Modeling the prediction of spontaneous rupture and bleeding in hepatocellular carcinoma via machine learning algorithms.

Machine learning to improve predictive performance of prehospital early warning scores.

Development of a machine learning model to identify the predictors of the neonatal intensive care unit admission.

Profiling short-term longitudinal severity progression and associated genes in COVID-19 patients using EHR and single-cell analysis.

An interval type-2 fuzzy multi-criteria decision-making approach for patient bed allocation.

medicX-KG: a knowledge graph for pharmacists' drug information needs.

Artificial Intelligence in Palliative Care: A Scoping Review of Current Applications, Challenges, and Future Directions.

Enhancing out-of-hospital cardiac arrest survival in China through the 5-minute social rescue circle implementation.

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