Hospital-Based Medicine

Risk Management

Latest AI and machine learning research in risk management for healthcare professionals.

13,622 articles
Stay Ahead - Weekly Risk Management research updates
Subscribe
Browse Specialties
Showing 232-252 of 13,622 articles
AI-assisted detection for chest X-rays (AID-CXR): a multi-reader multi-case study protocol.

INTRODUCTION: A chest X-ray (CXR) is the most common imaging investigation performed worldwide. Adva...

How do machine learning models perform in the detection of depression, anxiety, and stress among undergraduate students? A systematic review.

Undergraduate students are often impacted by depression, anxiety, and stress. In this context, machi...

Protocol for artificial intelligence-guided neural control using deep reinforcement learning and infrared neural stimulation.

Closed-loop neural control is a powerful tool for both the scientific exploration of neural function...

QUAIDE - Quality assessment of AI preclinical studies in diagnostic endoscopy.

Artificial intelligence (AI) holds significant potential for enhancing quality of gastrointestinal (...

An explainable deep learning platform for molecular discovery.

Deep learning approaches have been increasingly applied to the discovery of novel chemical compounds...

Acoustic Sensors data transmission integrity and endurance with IoT-enabled location-aware framework.

Environmental monitoring and disaster mitigation are critical applications of underwater acoustic se...

Artificial intelligence (AI) for paediatric fracture detection: a multireader multicase (MRMC) study protocol.

INTRODUCTION: Paediatric fractures are common but can be easily missed on radiography leading to pot...

Inclusive AI for radiology: Optimising ChatGPT-4 with advanced prompt engineering.

This letter responds to the article "Encouragement vs. liability: How prompt engineering influences ...

AI-enabled clinical decision support tools for mental healthcare: A product review.

The review seeks to promote transparency in the availability of regulated AI-enabled Clinical Decisi...

Using Machine Learning to Fight Child Acute Malnutrition and Predict Weight Gain During Outpatient Treatment with a Simplified Combined Protocol.

BACKGROUND/OBJECTIVES: Child acute malnutrition is a global public health problem, affecting 45 mill...

AI-CADR: Artificial Intelligence Based Risk Stratification of Coronary Artery Disease Using Novel Non-Invasive Biomarkers.

Coronary artery disease (CAD) is one of the most common causes of sudden cardiac arrest, accounting ...

CPRS: a clinical protocol recommendation system based on LLMs.

BACKGROUND: As fundamental documents in clinical trials, clinical trial protocols are intended to en...

Exploring the potential of large language models for integration into an academic statistical consulting service-the EXPOLS study protocol.

BACKGROUND: The advancement of Artificial Intelligence, particularly Large Language Models (LLMs), i...

Using Artificial Intelligence to Detect Risk of Family Violence: Protocol for a Systematic Review and Meta-Analysis.

BACKGROUND: Despite the implementation of prevention strategies, family violence continues to be a p...

Artificial intelligence applied in human health technology assessment: a scoping review protocol.

OBJECTIVE: This scoping review aims to map studies that applied artificial intelligence (AI) tools t...

Systematic review of ChatGPT accuracy and performance in Iran's medical licensing exams: A brief report.

ChatGPT has demonstrated significant potential in various aspects of medicine, including its perform...

Browse Specialties