Patient safety / Risk Management

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...

Entrustment and EPAs for Artificial Intelligence (AI): A Framework to Safeguard the Use of AI in Health Professions Education.

In this article, the authors propose a repurposing of the concept of entrustment to help guide the u...

AI as your ally: The effects of AI-assisted venting on negative affect and perceived social support.

In recent years, artificial intelligence (AI) chatbots have made significant strides in generating h...

Patient Consent and The Right to Notice and Explanation of AI Systems Used in Health Care.

Given the need for enforceable guardrails for artificial intelligence (AI) that protect the public a...

Generative artificial intelligence and ethical considerations in health care: a scoping review and ethics checklist.

The widespread use of Chat Generative Pre-trained Transformer (known as ChatGPT) and other emerging ...

Leveraging AI and patient metadata to develop a novel risk score for skin cancer detection.

Melanoma of the skin is the 17th most common cancer worldwide. Early detection of suspicious skin le...

Not just disclosure of generative artificial intelligence like ChatGPT in scientific writing: peer-review process also needs.

The simplification of the symptom Checklist-90 scale utilizing machine learning techniques.

The Symptom Checklist-90 (SCL-90), widely utilized for psychological assessments, faces challenges d...

Ethics of Writing Personal Statements and Letters of Recommendations with Large Language Models.

Large language models are becoming ubiquitous in the editing and generation of written content and a...

Multidisciplinary cancer disease classification using adaptive FL in healthcare industry 5.0.

Emerging Industry 5.0 designs promote artificial intelligence services and data-driven applications ...

A Secure High-Order Gene Interaction Detection Algorithm Based on Deep Neural Network.

Identifying high-order Single Nucleotide Polymorphism (SNP) interactions of additive genetic model i...

Identification of Psychological Treatment Dropout Predictors Using Machine Learning Models on Italian Patients Living with Overweight and Obesity Ineligible for Bariatric Surgery.

According to the main international guidelines, patients with obesity and psychiatric/psychological ...

An abbreviated Chinese dyslexia screening behavior checklist for primary school students using a machine learning approach.

To increase early identification and intervention of dyslexia, a prescreening instrument is critical...

Artificial intelligence in total and unicompartmental knee arthroplasty.

The application of Artificial intelligence (AI) and machine learning (ML) tools in total (TKA) and u...

Self-learning activation functions to increase accuracy of privacy-preserving Convolutional Neural Networks with homomorphic encryption.

The widespread adoption of cloud computing necessitates privacy-preserving techniques that allow inf...

Information disclosure, multifaceted collaborative governance, and carbon total factor productivity-An evaluation of the effects of the 'environmental information disclosure pilot' policy based on double machine learning.

As an environmental institutional arrangement related to the information factor of the diversified p...

Rise of the Machines: The Prevalence and Disclosure of Artificial Intelligence-Generated Text in High-Impact Orthopaedic Journals.

INTRODUCTION: While most orthopaedic journals permit the use of artificial intelligence (AI) in arti...

Systematic review of machine learning models in predicting the risk of bleed/grade of esophageal varices in patients with liver cirrhosis: A comprehensive methodological analysis.

Esophageal varices (EV) in liver cirrhosis carry high mortality risks. Traditional endoscopy, which ...

Feature group partitioning: an approach for depression severity prediction with class balancing using machine learning algorithms.

In contemporary society, depression has emerged as a prominent mental disorder that exhibits exponen...

Can Artificial Intelligence Accurately Detect Urinary Stones? A Systematic Review.

To perform a systematic review on artificial intelligence (AI) performances to detect urinary stone...

Identifying ESG types of Chinese solid waste disposal companies based on machine learning methods.

In the context of China's efforts to combat climate change and promote sustainable development, the ...