AI Medical Compendium Topic

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Academic publisher guidelines on AI usage: A ChatGPT supported thematic analysis.

F1000Research
BACKGROUND: As Artificial Intelligence (AI) technologies such as Generative AI (GenAI) have become more common in academic settings, it is necessary to examine how these tools interact with issues of authorship, academic integrity, and research metho...

Best Practices for Using AI Tools as an Author, Peer Reviewer, or Editor.

Journal of medical Internet research
The ethics of generative artificial intelligence (AI) use in scientific manuscript content creation has become a serious matter of concern in the scientific publishing community. Generative AI has computationally become capable of elaborating researc...

A model-independent redundancy measure for human versus ChatGPT authorship discrimination using a Bayesian probabilistic approach.

Scientific reports
The academic and scientific world in general is increasingly concerned about their inability to determine and ascertain the identity of the writer of a text. More and more often the question arises as to whether a scientific article or work handed in...

Transparency in research: An analysis of ChatGPT usage acknowledgment by authors across disciplines and geographies.

Accountability in research
This investigation systematically reviews the recognition of generative AI tools, particularly ChatGPT, in scholarly literature. Utilizing 1,226 publications from the Dimensions database, ranging from November 2022 to July 2023, the research scrutini...

Meta-research on reporting guidelines for artificial intelligence: are authors and reviewers encouraged enough in radiology, nuclear medicine, and medical imaging journals?

Diagnostic and interventional radiology (Ankara, Turkey)
PURPOSE: To determine how radiology, nuclear medicine, and medical imaging journals encourage and mandate the use of reporting guidelines for artificial intelligence (AI) in their author and reviewer instructions.

Human versus artificial intelligence-generated arthroplasty literature: A single-blinded analysis of perceived communication, quality, and authorship source.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Large language models (LLM) have unknown implications for medical research. This study assessed whether LLM-generated abstracts are distinguishable from human-written abstracts and to compare their perceived quality.