Hospital-Based Medicine

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

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Beyond episodic early warning systems: a continuous clinical alert system for early detection of in-hospital deterioration.

Efficient patient monitoring on the medical-surgical wards is crucial to prevent significant in-hosp...

Exploring the Potential of Digital Twins in Cancer Treatment: A Narrative Review of Reviews.

Digital twin (DT) technology, integrated with artificial intelligence (AI) and machine learning (ML...

Strategies to Reduce Hospital Length of Stay: Evidence and Challenges.

Hospital length of stay (HLOS) is a critical healthcare metric influencing patient outcomes, resourc...

New Insights into the Diagnosis and Treatment of Hepatocellular Carcinoma.

Hepatocellular carcinoma remains one of the leading contributors to global cancer mortality, frequen...

Stem Cell and Synthetic Embryo Models: Advances, Applications, and Ethical Considerations.

Independent traditional gametes and recent advances in stem cell biology have made it possible to cr...

Data-Driven Defragmentation: Achieving Value-Based Sarcoma and Rare Cancer Care Through Integrated Care Pathway Mapping.

Sarcomas, a rare and complex group of cancers, require multidisciplinary care across multiple health...

The "Outpatient Arthroplasty Risk Assessment" Score for Same Day Outpatient Primary Total Joint Arthroplasty: A Multicenter Study.

BACKGROUND: The Outpatient Arthroplasty Risk Assessment (OARA) Score was developed to risk-stratify ...

Contemporary Prevention and Management of Postoperative Delirium in Cardiac Surgery Patients.

This review examines the prevention and management of postoperative delirium in cardiac surgery pati...

Applying Machine Learning to the ANZELA-QI Database to Predict Adverse Outcomes for Patients Undergoing Emergency Laparotomy.

BACKGROUND: Emergency laparotomy is associated with high rates of morbidity and mortality. Accurate,...

Dynamic Predictive Models of Cardiogenic Shock in STEMI: Focus on Interventional and Critical Care Phases.

: While early risk stratification in STEMI is essential, the threat of cardiogenic shock (CS) persis...

Use of machine learning to predict creativity among nurses: a multidisciplinary approach.

BACKGROUND: In this era of rapid development in science and technology, creativity has become an imp...

Propofol-associated Hypertriglyceridemia: Development and Multicenter Validation of a Machine-Learning-Based Prediction Tool.

To develop and validate an explainable machine learning (ML) tool to help clinicians predict the ris...

Automated generation of discharge summaries: leveraging large language models with clinical data.

This study explores the use of open-source large language models (LLMs) to automate generation of Ge...

Integrative plasmonics: optical multi-effects and acousto-electric-thermal fusion for biosensing, energy conversion, and photonic circuits.

Surface plasmons, a unique optical phenomenon arising at the interface between metals and dielectric...

Detection of ESBL-producing complex with VITEK 2 system and screening cutoffs for implementing confirmatory tests.

complex (C) are important nosocomial pathogens that can be reservoirs of transmissible extended-spe...

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