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Objectives: To gain insight into the integrity of research in Otolaryngology-Head & Neck Surgery (OHNS) literature through characterising retracted articles, analysing the reason for their retraction, and the trends in the collected data.

Methods: Pubmed, Embase, and Retraction Watch Database were queried for retracted articles published between the dates of 1/31/92 and 9/30/22. Articles with titles relating to OHNS subjects and published in OHNS journals, as determined by Scimago Journal and Country Ranking, were selected for further analysis.

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Introduction: The number of retracted articles in the bio-medical field, including dentistry, is increasing. The objective of this study was to identify retracted articles in endodontic-related literature and outline their main characteristics.

Evidence Acquisition: The Medline and Scopus databases were searched in January 2024.

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Background And Objectives: Artificial intelligence (AI) has been gaining increasing interest in healthcare. During the 2024 International Society of Blood Transfusion (ISBT) Congress, the Clinical Transfusion Working Party (CTWP) conducted a session to explore the exciting intersection of AI in transfusion medicine (TM) practice, education and research. We report here the potential applications and the session outcome.

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Ethics of Writing Personal Statements and Letters of Recommendations with Large Language Models.

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December 2024

Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota.

Large language models are becoming ubiquitous in the editing and generation of written content and are actively being explored for their use in medical education. The use of artificial intelligence (AI) engines to generate content in academic spaces is controversial and has been meet with swift responses and guidance from academic journals and publishers regarding the appropriate use or disclosure of use of AI engines in professional writing. To date, there is no guidance to applicants of graduate medical education programs in using AI engines to generate application content-primarily personal statements and letters of recommendation.

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