Hospital-Based Medicine

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

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Impact of dielectric barrier discharge cold plasma on Dendrobium officinale polysaccharides: Physicochemical and functional properties.

Dendrobium officinale has garnered significant attention due to its notable bioactivity and health b...

Promethazine for nausea and vomiting prevention after gynaecological laparoscopic surgery: A randomized controlled trial.

Postoperative nausea and vomiting (PONV) represent significant concerns for patients undergoing surg...

A Review of Cross-Species Transmission Mechanisms of Influenza Viruses.

The cross-species transmission of influenza viruses represents a critical link in the pandemic of zo...

Experiencing digital technologies: The importance of feeling safe in healthcare - A qualitative participatory design.

Digital technologies are increasingly used in healthcare. In this context, perceived safety plays a ...

Anomaly Detection in Electronic Health Records Across Hospital Networks: Integrating Machine Learning With Graph Algorithms.

In a large hospital system, a network of hospitals relies on electronic health records (EHRs) to mak...

The Role of Large Language Models (LLMs) in Breast Imaging Today and in the Near Future.

This narrative review focuses on the integration of large language models (LLMs), such as GPT-4 and ...

Point-counterpoint: What is the best strategy for developing generative AI for hospital medicine?

Generative Artificial Intelligence (Gen AI) shows significant promise as a technology that could imp...

Building competency in artificial intelligence and bias mitigation for nurse scientists and aligned health researchers.

Healthcare systems are increasingly integrating artificial intelligence and machine learning (AI/ML)...

Characterization of Effective Half-Life for Instant Single-Time-Point Dosimetry Using Machine Learning.

Single-time-point (STP) image-based dosimetry offers a more convenient approach for clinical practic...

Exploring Suitability of Low-Severity Rating Hospital Incident Reports for Machine Learning.

Electronic incident reporting is a key quality and a safety process for healthcare organizations tha...

Perception and Knowledge of Hospital Workers Toward Using Artificial Intelligence: A Descriptive Study.

OBJECTIVE: This study aims to assess the perception and knowledge of hospital workers toward using a...

Predicting 30-day survival after in-hospital cardiac arrest: a nationwide cohort study using machine learning and SHAP analysis.

OBJECTIVE: In-hospital cardiac arrest (IHCA) presents a critical challenge with low survival rates a...

Monitoring Amphetamine and Methamphetamine Mixtures Based on Deep Learning Involves Colorimetric Sensing.

Precise recognition and discrimination of highly similar analytes (either in structure or property) ...

Assessing artificial intelligence-generated patient discharge information for the emergency department: a pilot study.

BACKGROUND: Effective patient discharge information (PDI) in emergency departments (EDs) is vital an...

FusionXNet: enhancing EEG-based seizure prediction with integrated convolutional and Transformer architectures.

. Effective seizure prediction can reduce patient burden, improve clinical treatment accuracy, and l...

Effect of AI-based pre-hospital health education via QR code on APAIS scores in patients with breast nodules: A retrospective study.

PURPOSE: To explore the effect of AI-based pre-hospital health education via QR code on preoperative...

ChatGPT-4o outperforms gemini advanced in assisting multidisciplinary decision-making for advanced gastric cancer.

BACKGROUND & AIMS: The treatment of advanced gastric cancer (GC) requires precise and comprehensive ...

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