BACKGROUND: Artificial intelligence (AI) is increasingly integrated into family medicine research and practice, enhancing diagnostics, data analysis, and care delivery. Yet, its rapid adoption has outpaced the development of standardized editorial po...
As artificial intelligence (AI), particularly large language models (LLMs), continues to progress, its impact on academic publishing, both in manuscript drafting and peer review, has attracted considerable attention. In neurosurgery, where journals s...
IMPORTANCE: The updated race and ethnicity reporting guidelines published in the AMA Manual of Style: A Guide for Authors and Editors highlight the importance of using specific racial and ethnic categories rather than generalized terms, promoting inc...
Questionable journals threaten global research integrity, yet manual vetting can be slow and inflexible. Here, we explore the potential of artificial intelligence (AI) to systematically identify such venues by analyzing website design, content, and p...
Image duplication in scientific articles-accidental or intentional-undermines trust in research, authors, institutions, and publishers. Duplications not only cast doubt on researchers' scientific rigor, but they also raise concerns about potential mi...
OBJECTIVE: This study evaluates the reliability and accuracy of AI-generated text detection tools in distinguishing human-authored academic content from AI-generated texts, highlighting potential challenges and ethical considerations in their applica...
INTRODUCTION: Rapid advancements in artificial intelligence (AI) pose novel ethical and practical challenges for scholarly publishing. Although AI-related policies are emerging in many disciplines, little is known about the extent and clarity of AI g...
In recent years, global accessibility to large 'big data' repositories that enable 'open research' - such as the UK Biobank, National Health and Nutrition Examination Survey (NHANES), and Global Burden of Disease (GBD) datasets - has created unpreced...
Artificial intelligence (AI) has shown its ability to transform academic writing and publishing. It offers significant benefits, including enhancing efficiency, consistency, and integrity, However, these advancements are accompanied by ethical concer...
We aim to characterize gender authorship in urology-related artificial intelligence (AI) research. A retrospective review was performed using MEDLINE, Embase, and Web of Science (Clarivate) databases (2014-2024). First and senior author gender was es...
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.