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    Large Language Models in Healthcare: A Bibliometric Analysis and Examination of Research Trends by Gencer G, Gencer K

    Published 2025-01-01
    “…Gülcan Gencer,1 Kerem Gencer2 1Department of Biostatistics and Medical Informatics, Afyonkarahisar Health Sciences University, Faculty of Medicine, Afyonkarahisar, Turkey; 2Department of Computer Engineering, Afyon Kocatepe University, Faculty of Engineering, Afyonkarahisar, TurkeyCorrespondence: Gülcan Gencer, Department of Biostatistics and Medical Informatics, Afyonkarahisar Health Sciences University, Faculty of Medicine, Afyonkarahisar, Turkey, Email gencergulcan@gmail.comBackground: The integration of large language models (LLMs) in healthcare has generated significant interest due to their potential to improve diagnostic accuracy, personalization of treatment, and patient care efficiency.Objective: This study aims to conduct a comprehensive bibliometric analysis to identify current research trends, main themes and future directions regarding applications in the healthcare sector.Methods: A systematic scan of publications until 08.05.2024 was carried out from an important database such as Web of Science.Using bibliometric tools such as VOSviewer and CiteSpace, we analyzed data covering publication counts, citation analysis, co-authorship, co- occurrence of keywords and thematic development to map the intellectual landscape and collaborative networks in this field.Results: The analysis included more than 500 articles published between 2021 and 2024. …”
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