AIMC Topic: Periodicals as Topic

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Can we trust academic AI detective? Accuracy and limitations of AI-output detectors.

Acta neurochirurgica
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...

Artificial intelligence policies in bioethics and health humanities: a comparative analysis of publishers and journals.

BMC medical ethics
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...

Journal of Global Health's Guidelines for Reporting Analyses of Big Data Repositories Open to the Public (GRABDROP): preventing 'paper mills', duplicate publications, misuse of statistical inference, and inappropriate use of artificial intelligence.

Journal of global health
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...

Perspectives of Artificial Intelligence Use for In-House Ethics Checks of Journal Submissions.

Journal of Korean medical science
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...

Gender Authorship Among Urology Artificial Intelligence Publications: A 10-Year Retrospective Analysis.

Urology
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...

Evaluating interdisciplinary research: Disparate outcomes for topic and knowledge base.

Proceedings of the National Academy of Sciences of the United States of America
Interdisciplinary research is essential for addressing complex global challenges, but there are concerns that scientific institutions like journals select against it. Prior work has focused largely on how interdisciplinarity relates to outcomes for p...

AIAIAI: AI insights on amassing influence in AI-related publications - an AI-assisted retrospective analysis into AI-related publication.

BMJ health & care informatics
OBJECTIVES: This study analyses the trend of artificial intelligence (AI)-related publications in the medical field over the past decade and demonstrates the potential of AI in automating data analysis. We hypothesise exponential growth in AI-related...

Artificial Intelligence-Generated Editorials in Radiology: Can Expert Editors Detect Them?

AJNR. American journal of neuroradiology
BACKGROUND AND PURPOSE: Artificial intelligence is capable of generating complex texts that may be indistinguishable from those written by humans. We aimed to evaluate the ability of GPT-4 to write radiology editorials and to compare these with human...

Generative artificial intelligence (GAI) usage guidelines for scholarly publishing: a cross-sectional study of medical journals.

BMC medicine
BACKGROUND: Generative artificial intelligence (GAI) has developed rapidly and been increasingly used in scholarly publishing, so it is urgent to examine guidelines for its usage. This cross-sectional study aims to examine the coverage and type of re...

A retrospective analysis of medical student authorship in highest impact radiology journal publications.

Current problems in diagnostic radiology
OBJECTIVES: To assess medical student authorship in radiology research, focusing on the prevalence and impact of student articles, demographic trends, and potential barriers and opportunities for involvement.