AIMC Topic: Authorship

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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...

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...

Author name disambiguation based on heterogeneous graph neural network.

PloS one
With the dramatic increase in the number of published papers and the continuous progress of deep learning technology, the research on name disambiguation is at a historic peak, the number of paper authors is increasing every year, and the situation o...

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.

Ophthalmology Journals' Guidelines on Generative Artificial Intelligence: A Comprehensive Analysis.

American journal of ophthalmology
PURPOSE: The integration of generative artificial intelligence (GAI) into scientific research and academic writing has generated considerable controversy. Currently, standards for using GAI in academic medicine remain undefined. This study aims to co...

Reply to: The Fate of Individual Tone in the Age of AI Writing.

Annals of surgical oncology
This letter responds to Matsubara's discussion on preserving personal tone in the age of artificial-intelligence-assisted writing. Assistive tools such as large language models (LLMs) can be helpful for busy authors and those who struggle with the En...

Human Capital and Productivity in Surgery Research Across the Globe: A Big Data Analysis Using Artificial Intelligence.

The Journal of surgical research
INTRODUCTION: No investigation of each nation's contribution to knowledge production and human capital in surgery currently exists. Previous studies explored country-level research productivity only in few surgical subspecialties. To identify current...

Reviewer Experience Detecting and Judging Human Versus Artificial Intelligence Content: The Journal Essay Contest.

Stroke
Artificial intelligence (AI) large language models (LLMs) now produce human-like general text and images. LLMs' ability to generate persuasive scientific essays that undergo evaluation under traditional peer review has not been systematically studied...