Hospital-Based Medicine

Infection Control

Latest AI and machine learning research in infection control for healthcare professionals.

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How do machine learning algorithms perform in predicting hospital choices? evidence from changing environments.

Researchers have found that machine learning methods are typically better at prediction than econome...

Improving hospital readmission prediction using individualized utility analysis.

OBJECTIVE: Machine learning (ML) models for allocating readmission-mitigating interventions are typi...

The use of a UV-C disinfection robot in the routine cleaning process: a field study in an Academic hospital.

BACKGROUND: Environmental surface decontamination is a crucial tool to prevent the spread of infecti...

Leveraging electronic health record data to inform hospital resource management : A systematic data mining approach.

Early identification of resource needs is instrumental in promoting efficient hospital resource mana...

Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge.

Deep learning architectures have an extremely high-capacity for modeling complex data in a wide vari...

OASIS +: leveraging machine learning to improve the prognostic accuracy of OASIS severity score for predicting in-hospital mortality.

BACKGROUND: Severity scores assess the acuity of critical illness by penalizing for the deviation of...

Development of the Joint Commission of Taiwan's Smart Healthcare Standard.

It is well known that information technology (IT) can play a pivotal role in enhancing healthcare qu...

COVID-Classifier: an automated machine learning model to assist in the diagnosis of COVID-19 infection in chest X-ray images.

Chest-X ray (CXR) radiography can be used as a first-line triage process for non-COVID-19 patients w...

Application of machine learning in predicting hospital readmissions: a scoping review of the literature.

BACKGROUND: Advances in machine learning (ML) provide great opportunities in the prediction of hospi...

Reducing Loneliness in Stationary Geriatric Care with Robots and Virtual Encounters-A Contribution to the COVID-19 Pandemic.

The bans on visiting nursing homes during the COVID-19 pandemic, while intended to protect residents...

The Use of Artificial Neural Networks to Determine In-Hospital Mortality After Coronary Artery Bypass Surgery.

OBJECTIVES: The aim of this study was to present an artificial neural network (ANN) model for the ac...

Optimization on Medical Material Distribution Management System Based on Artificial Intelligence Robot.

The traditional medical material distribution management system method lacks systematic analysis and...

Should Peritoneal Re-Approximation Be Performed After Transperitoneal Robot-Assisted Radical Prostatectomy?

The aim of the study is to examine the effect of peritoneal re-approximation or non-approximation o...

AI-based mobile application to fight antibiotic resistance.

Antimicrobial resistance is a major global health threat and its development is promoted by antibiot...

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