Hospital-Based Medicine

Diagnosing facial synkinesis using artificial intelligence to advance facial palsy care.

Facial palsy (FP) can lead to significant psychological and physical burdens such as facial synkines...

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...

A Comprehensive Review of Terahertz Time-Domain Spectroscopy for Agri-Food Safety Detection: Enhanced Sensing Performance Through Multidisciplinary Technology Integration.

The development of efficient and accurate methods for detecting contamination in agri-foods is criti...

Implementing Artificial Intelligence in Critical Care Medicine: a consensus of 22.

Artificial Intelligence (AI) is rapidly transforming the landscape of critical care, offering opport...

Multi-task reinforcement learning and explainable AI-Driven platform for personalized planning and clinical decision support in orthodontic-orthognathic treatment.

This study presents a novel clinical decision support platform for orthodontic-orthognathic treatmen...

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, ...

Development and Validation of a Rule-Based Natural Language Processing Algorithm to Identify Falls in Inpatient Records of Older Adults: Retrospective Analysis.

BACKGROUND: In order to address fall underestimation by the International Classification of Diseases...

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...

Simulation of emitter discharge along drip laterals under drip fertigation system using artificial neural network.

Simulation of emitter discharge under a drip fertigation system is important for capturing the varia...

Fairness of machine learning readmission predictions following open ventral hernia repair.

INTRODUCTION: Few models have predicted readmission following open ventral hernia repair (VHR), and ...

Machine learning approaches for predicting heart failure readmissions.

PURPOSE: This study aims to develop and evaluate machine learning (ML) models to predict the likelih...

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...

Machine learning-based predictive tools and nomogram for in-hospital mortality in critically ill cancer patients: development and external validation using retrospective cohorts.

BACKGROUND: The incidence of intensive care unit (ICU) admissions and the corresponding mortality ra...

Enhancing diagnostic innovation by leveraging the co-creation approach.

Digital innovation in precision diagnostics requires addressing complex challenges, such as implemen...

Development and external validation of machine learning models for the early prediction of malnutrition in critically ill patients: a prospective observational study.

BACKGROUND: Early detection of malnutrition in critically ill patients is crucial for timely interve...

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

How well does GPT-4 perform on an emergency medicine board exam? A comparative assessment.

BACKGROUND: Recent advancements in artificial intelligence have shown promise in enhancing diagnosti...

Artificial Intelligence in Diagnosis and Prognosis of Cognitive Impairment in Parkinson's Disease.

Parkinson's disease (PD), a progressive neurodegenerative disorder, affects millions globally, with ...

Predicting Unplanned Intubations in Rib Fracture Patients: An Interpretable Machine Learning Approach.

BackgroundTraumatic rib fractures can lead to respiratory complications necessitating unplanned intu...

Bridging the gap between models and reality: development of a research environment for an object-oriented hospital information system to integrate artificial intelligence and robotics into clinical practice.

INTRODUCTION: Hospital information systems (HISs) are the main access opportunity for medical profes...

Artificial Intelligence-Assisted Conductive Hydrogel Dressings for Refractory Wounds Monitoring.

Refractory wounds cause significant harm to the health of patients and the most common treatments in...