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@article{185100,
        author = {VAISHALI KAMBLE and PRATIBHA TAKSANDE},
        title = {MEDICAL ETHICS AND ARTIFICIAL INTELLIGENCE A BIBLIOMETRIC ANALYSIS OF THE SCIENTIFIC PUBLICATIONS},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {5},
        pages = {268-274},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=185100},
        abstract = {This bibliometric analysis examines the scientific literature on the interface of medical ethics and artificial intelligence. We examine publication growth, top journals, nations, institutions, highly cited works, and research hotspots (keywords and thematic clusters) using recently published bibliometric papers and studies based on Scopus, PubMed, and Web of Science as references. The findings indicate that the industry has grown rapidly since 2015, with significant attention spikes following 2018–2020. The United States and Europe have made focused contributions, and East Asia has seen an increase in output. Bias/fairness, explainability/interpretability, data governance/privacy, accountability/liability, and publication & research ethics are the main topic clusters. In order to better link AI development with medical-ethical concepts, we conclude with recommendations for future research and policy goals},
        keywords = {Artificial intelligence, medical ethics, bibliometrics, publication trends, data governance, explainability, bias, research ethics, etc},
        month = {October},
        }