Infection Control

Gated recurrent unit with decay has real-time capability for postoperative ileus surveillance and offers cross-hospital transferability.

BACKGROUND: Ileus, a postoperative complication after colorectal surgery, increases morbidity, costs...

Integrating genomic and pathological characteristics to enhance prognostic precision in advanced NSCLC.

Although immunotherapy combined with chemotherapy (ICT) is the standard treatment for advanced non-s...

Machine learning based CAGIB score predicts in-hospital mortality of cirrhotic patients with acute gastrointestinal bleeding.

Acute gastrointestinal bleeding (AGIB) is a potentially lethal complication in cirrhosis. In this pr...

Economic evaluation of a robotic chemotherapy compounding system and its service expansion to network hospital in Thailand.

BACKGROUND: Robotic systems for chemotherapy preparation offer improved accuracy and staff safety bu...

An artificial intelligence model to predict mortality among hemodialysis patients: A retrospective validated cohort study.

Hemodialysis stands as the most prevalent renal replacement therapy globally. Accurately identifying...

Predicting Emergency Severity Index (ESI) level, hospital admission, and admitting ward in an emergency department using data-driven machine learning.

INTRODUCTION: Emergency departments (EDs) are critical for ensuring timely patient care, especially ...

Predicting In-Hospital Mortality in Intensive Care Unit Patients Using Causal SurvivalNet With Serum Chloride and Other Causal Factors: Cross-Country Study.

BACKGROUND: Incorporating initial serum chloride levels as a prognostic indicator in the intensive c...

Artificial intelligence platform to predict children's hospital care for respiratory disease using clinical, pollution, and climatic factors.

BACKGROUND: Hospitals and health care systems may benefit from artificial intelligence (AI) and big ...

Predicting Hospital Readmission Rates Using Data Mining Techniques.

: Due to the high costs of patient hospitalization, the increasing demand for readmission has led to...

Integrating artificial intelligence into the hospital supply chain to ensure the availability of medications.

Evaluating large language models on hospital health data for automated emergency triage.

PURPOSE: Large language models (LLMs) have a significant potential in healthcare due to their abilit...

[Artificial intelligence in hospital logistics and operational processes].

The implementation of artificial intelligence (AI) solutions in hospital logistics is becoming incre...

Development and external validation of a machine learning model for predicting drug-induced immune thrombocytopenia in a real-world hospital cohort.

BACKGROUND: Drug-induced immune thrombocytopenia (DITP) is a rare but potentially life-threatening a...

Interpretable prediction of hospital mortality in bleeding critically ill patients based on machine learning and SHAP.

BACKGROUND: Hemorrhage is a prevalent and critical condition in the intensive care unit (ICU), chara...

Predicting patient risk of leaving without being seen using machine learning: a retrospective study in a single overcrowded emergency department.

Emergency department (ED) overcrowding has become a critical issue in hospital management, leading t...

Machine learning-selected minimal features drive high-accuracy rule-based antibiotic susceptibility predictions for via metagenomic sequencing.

Antimicrobial resistance (AMR) represents a critical global health challenge, demanding rapid and ac...

Advantages and effectiveness of AI three-dimensional reconstruction technology in the preoperative planning of total hip arthroplasty.

In order to explore the application effect of artificial intelligence (AI) 3D reconstruction technol...

Citywide metagenomic surveillance of food centres reveals local microbial signatures and antibiotic resistance gene enrichment.

The distribution of microorganisms in built environments with high human traffic, such as food centr...

Toward Cross-Hospital Deployment of Natural Language Processing Systems: Model Development and Validation of Fine-Tuned Large Language Models for Disease Name Recognition in Japanese.

BACKGROUND: Disease name recognition is a fundamental task in clinical natural language processing, ...

Application of Transformer Neural Networks for Data Cleaning in Emergency Room Logs: A Case Study from the Bordeaux University Hospital.

Emergency Rooms (ERs) are at the center of various optimization research due to the growing number o...

Benchmarking Ensemble Models to Predict Prolonged Hospital Stay in Traumatic Brain Injury: A Single-Institution Study.

INTRODUCTION: Prolonged length of stay (PLOS) in hospitals is a critical metric representing quality...