Artificial intelligence (AI) is increasingly applied across all disciplines of medicine, including
dentistry. Oral health research is experiencing a rapidly increasing use of machine learning …

For safety-critical industries, human error (HE) presents continual risks to system
productivity, reliability and safety. Artificial intelligence (AI) and machine learning (ML) …

Purpose The purpose of this study is to comprehensively examine the ethical implications
surrounding generative artificial intelligence (AI). Design/methodology/approach Leveraging …

This article explores the multifaceted implications of integrating advanced generative AI
technologies, specifically ChatGPT, into academic writing and research. It delves into the …

Objectives This study aims to evaluate the performance of the latest large language models
(LLMs) in answering dental multiple choice questions (MCQs), including both text-based …

Background The detection and early diagnosis of root fractures can be challenging; this
difficulty applies particularly to newly qualified dentists. Aside from clinical examination …

This research emphasises the significance of scientific literacy for policymakers about the
future trajectory of artificial intelligence. The ethical concerns surrounding the development …

The integration of Large Language Models (LLMs) into healthcare diagnostics offers a
promising avenue for clinical decision-making. This study outlines the development of a …

Generative AI offers transformative potential in healthcare, enabling advancements from
data augmentation to drug discovery. However, its adoption poses ethical, technical, and …

This research paper presents a comprehensive exploration of the generation of synthetic
medical datasets, leveraging advanced generative models to produce high‐quality, privacy …