Hospital-Based Medicine

Deep learning on brief interictal intracranial recordings can accurately characterize seizure onset zones.

OBJECTIVE: Epilepsy is a debilitating disorder affecting more than 50 million people worldwide, and ...

Future Perspectives of Liver Research in the Asia-Pacific Region: Focus on Hepatitis B and C.

The Asia-Pacific region faces serious liver health challenges, primarily because of the comparativel...

Automated biodiversity research critically requires multidisciplinary expertise.

Data-driven computational methods in taxonomy, ecology, and conservation biology are revolutionising...

Leveraging Hospital Information Data for Effective Antibiotic Stewardship.

Clinical informatics has emerged as a valuable approach to enhance antimicrobial stewardship program...

Electronic Health (eHealth) and Artificial Intelligence-based Tools to Optimize In-hospital Patient Flow: A Scoping Review.

OBJECTIVES: Congested hospitals are increasingly common. Electronic health (eHealth) and artificial ...

Development and validation of a machine learning model for in-hospital mortality prediction in children under 5 years with heart failure.

BACKGROUND: Heart failure (HF) in children under five years of age carries a high risk of in-hospita...

Continuous glucose monitoring combined with artificial intelligence: redefining the pathway for prediabetes management.

Prediabetes represents an early stage of glucose metabolism disorder with significant public health ...

AI-Based Predictive Models for Cardiogenic Shock in STEMI: Real-World Data for Early Risk Assessment and Prognostic Insights.

Cardiogenic shock (CS) is a life-threatening complication of ST-elevation myocardial infarction (ST...

Predicting Mortality in Atrial Fibrillation Patients Treated with Direct Oral Anticoagulants: A Machine Learning Study Based on the MIMIC-IV Database.

Atrial fibrillation (AF) is a common arrhythmia linked to increased mortality and significant healt...

The two ends of the spectrum: comparing chronic schizophrenia and premorbid latent schizotypy by actigraphy.

Motor activity alterations are key symptoms of psychiatric disorders like schizophrenia. Actigraphy,...

Analysis of the heterogeneous treatment effect of vasoactive drug dosage and time on hospital mortality across different sepsis phenotypes: a retrospective cohort study.

BACKGROUND: The heterogeneity of sepsis poses challenges for the individualized treatment of vasoact...

Predictive machine learning model for 30-day hospital readmissions in a tertiary healthcare setting.

MOTIVATION: Hospital readmissions represent a major challenge for healthcare systems due to their im...

Performance of Machine Learning Models in Predicting 30-Day General Medicine Readmissions Compared to Traditional Approaches in Australian Hospital Setting.

: Hospital readmissions are a key quality metric impacting both patient outcomes and healthcare cost...

Long COVID's Hidden Complexity: Machine Learning Reveals Why Personalized Care Remains Essential.

Long COVID can develop in individuals who have had COVID-19, regardless of the severity of their in...

Effectiveness of hypotension prediction index software in reducing intraoperative hypotension in prolonged prone-position spine surgery: a single-center clinical trial.

Intraoperative hypotension (IOH) is associated with morbidity and mortality. The Hypotension Predict...

Prediction and optimization of hardness in AlSi10Mg alloy produced by laser powder bed fusion using statistical and machine learning approaches.

The primary objective of this study is to evaluate the influence of critical process parameters on t...

Optimizing external validation of deep neural networks for interictal discharge detection.

Reply to: Optimizing external validation of deep neural networks for interictal discharge detection.

Using interpretable survival analysis to assess hospital length of stay.

Accurate in-hospital length of stay prediction is a vital quality metric for hospital leaders and he...

Using Traditional and Deep Machine Learning to Predict Emergency Room Triage Levels.

Accurate triage in emergency rooms is crucial for efficient patient care and resource allocation. We...

The silent epidemic of non-adherence - insights from the 2024 a:care congress.

Medication non-adherence is a global challenge with profound implications for patient health outcome...