Patient safety / Risk Management

Understanding purchase intention for genAI-enabled museum cultural and creative products using a SOR model.

Generative artificial intelligence (GenAI) is reshaping cultural and creative design and raising new...

Navigating the artificial intelligence (AI) revolution in radiology: a practical guide to medical-legal and ethical imperatives for the practising radiologist.

Artificial intelligence (AI) is now routinely integrated into radiology workflows, including worklis...

How to Evaluate the Accuracy of Symptom Checkers and Diagnostic Decision Support Systems: Symptom Checker Accuracy Reporting Framework (SCARF).

Symptom checkers are apps and websites that assist medical laypeople in diagnosing their symptoms an...

AI outperforms humans in establishing interpersonal closeness in emotionally engaging interactions, but only when labelled as human.

With the increasing accessibility of large language models to the public, questions arise about whet...

Can OMFS experts distinguish AI from human manuscripts? A double-blind evaluation using ChatGPT-4.

OBJECTIVE: As generative AI tools like ChatGPT-4 gain traction in academic writing, questions arise ...

When and how to disclose AI use in academic peer review.

Using Artificial Intelligence (AI) to review academic papers is happening and cannot be ignored by j...

An Ensemble Learning Artificial Intelligence Model for Alzheimer's Disease Detection Using OCT.

PURPOSE: There has been significant progress in detecting Alzheimer's disease (AD) using retinal ima...

The artificial intelligence disclosure penalty: Humans persistently devalue AI-generated creative writing.

Although preliminary evidence suggests that humans often react aversely to artificial intelligence (...

Standardizing disclosure of artificial intelligence in radiology reports: a proposed framework.

Can Large Language Models Be a Viable Tool for Consensus Working Groups? Experience of the Ventral Rectopexy Expert Consensus Group.

BACKGROUND: The Ventral Rectopexy International Expert Panel recently published a consensus update o...

Automated Nonperfusion Quantification in Diabetic Retinopathy on Ultra-Widefield Swept-Source OCT Angiography.

PURPOSE: To evaluate the performance of a customized deep learning algorithm for automated segmentat...

When and how to disclose AI use in academic publishing: AMEE Guide No.192.

Generative Artificial Intelligence (GenAI) tools are increasingly integrated into research and acade...

KLiP: A neural network-based surveillance tool for early identification of listening difficulties in children aged 3-6 years.

PURPOSE: To develop and validate a neural network-based Kid's Listening Performance Checklist (KLiP)...

Publishing Policies on AI-Generated Content in Nursing: An Evidence Base for Shaping Educational Policy and Upholding Academic Integrity.

BACKGROUND: The rapid integration of generative AI into scholarly writing has created an inconsisten...

Cost-effectiveness of artificial intelligence tools in radiology: a systematic review.

OBJECTIVES: To systematically review the evidence on the cost-effectiveness of artificial intelligen...

The use of Artificial Intelligence in neurosurgical manuscript writing: Journal specific policies and their implementation.

INTRODUCTION: The use of Artificial Intelligence (AI) has grown dramatically in recent years. In add...

Neural correlates of child temperament: The role of brain network connectivity in psychopathology risk.

BACKGROUND: Early temperament has been shown to predict socioemotional outcomes, but its neural corr...

Methodological Variations in 24-Hour Urine Collection for Nephrolithiasis: A Systematic Review of Reporting Practices and Clinical Implications.

BACKGROUND: A 24-hour urine collection is central to the metabolic evaluation and prevention of neph...

LI-RADS-aligned artificial intelligence for liver cancer diagnosis: methods, evidence, and clinical readiness.

Liver tumor diagnosis relies heavily on imaging, and the liver imaging reporting and data system (LI...

AI-Generated Text in Orthopaedic Articles: A Cross-Sectional Analysis.

BACKGROUND: Large language models are increasingly being used in scientific writing, but their use i...

Self-Disclosure of Mental Health via Deepfakes: Testing the Effects of Self-Deepfakes on Affective Resistance and Intention to Seek Mental Health Support.

This study examines the use of deepfakes in self-disclosure interventions within mental health conte...