Hospital-Based Medicine

Latest AI and machine learning research in hospital-based medicine for healthcare professionals.

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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...

Prediction of caesarean section birth using machine learning algorithms among pregnant women in a district hospital in Ghana.

BACKGROUND: Machine learning algorithms may contribute to improving maternal and child health, inclu...

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...

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...

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...

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

BackgroundArtificial Intelligence (AI) is increasingly integrated into healthcare systems, presentin...

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

The role of pharmacists is evolving from medicine dispensing to delivering comprehensive pharmaceuti...

Shift nurses' work quality and job satisfaction after implementing the Inha University hospital nursing AI scheduling system (IH-NASS).

BACKGROUND: Shift work is essential for nurses and is the backbone of the healthcare workforce. Addr...

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

Effective inpatient bed management is critical for optimizing healthcare resource utilization and en...

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...

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 ...

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...

Developed a knowledge base of risk factors for postoperative cognitive dysfunction: a retrospective database study.

Postoperative cognitive dysfunction (POCD), a heterogeneous spectrum of surgery/anesthesia-associate...

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...

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...

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...

Patient radiation safety in the intensive care unit.

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

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...

Bioinspired Intelligent Soft Robotics: From Multidisciplinary Integration to Next-Generation Intelligence.

Soft robotics, distinguished by intrinsic compliance, biomimetic adaptability, and safe human-enviro...

Aortic Stenosis and Mitral Regurgitation: Takeaways From the Heart Valve Collaboratory Workshop on Multivalvular Disease.

The management of multivalvular disease presents increasing challenges in clinical practice caused b...

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