Artificial Intelligence and Medical Ethics
A Bibliometric Analysis of the 100 Most Cited Research Articles
Keywords:
Artificial Intelligence, Medical Ethics, Bibliometric, Citation, High Cited ArticlesAbstract
Introduction: As Artificial Intelligence (AI) technologies continue to advance rapidly, understanding their ethical dimensions has become increasingly crucial. This study examines 100 highly cited articles in the fields of artificial intelligence and medical ethics, aiming to identify key trends and insights that can inform future research and practice.
Methods: A comprehensive bibliometric analysis was conducted utilizing data from the Web of Science database. Articles were selected based on citation counts, focusing on both review and original research articles that relate to AI and medical ethics. The analysis encompassed various aspects, including publication trends, geographical distribution, keyword analysis, and sources of the publications, which were performed by Biblioshiny software.
Results: The findings indicate a significant increase in publications since 2018, with a peak observed in 2022. The United States emerged as the leading country in scientific output, contributing 121 articles. Germany with 54 and, Australia with 45 were next in line with the highest production of articles in this field. Key themes identified throughout the analysis include ethics, machine learning, AI applications, and decision-making processes. The keyword analysis revealed distinct clusters surrounding critical ethical issues associated with AI technologies. Notably, prominent journals such as the “Journal of Medical Ethics” and the “American Journal of Bioethics” were highlighted for their substantial contributions to the discourse in this field. "SALLOCH S" had the most activity with 7 articles. Among the categories, ethics, medical ethics and social sciences, biomedical were the most frequent categories.
Conclusion: This bibliometric analysis underscores the growing importance of addressing the ethical challenges associated with AI in healthcare. The intersection of artificial intelligence and medical ethics is emerging as a significant and vital area of research, necessitating further exploration and discussion to ensure responsible and ethical advancements in technology.
References
1. Singh S, Healy NA. The top 100 most-cited articles on artificial intelligence in breast radiology: A bibliometric analysis. Insights Imaging. 2024; 15(1): 297. PMID: 39666106 DOI: 10.1186/s13244-024-01869-4
2. Maassen O, Fritsch S, Palm J, Deffge S, Kunze J, Marx G, et al. Future medical artificial intelligence application requirements and expectations of physicians in German university hospitals: Web-based survey. J Med Internet Res. 2021; 23(3): e26646. PMID: 33666563 DOI: 10.2196/26646
3. Jiang X, Wells A, Brufsky A, Neapolitan R. A clinical decision support system learned from data to personalize treatment recommendations towards preventing breast cancer metastasis. PLoS One. 2019; 14(3): e0213292. PMID: 30849111 DOI: 10.1371/journal.pone.0213292
4. Patil B, Upadhyay S, Pawar A. Integrating artificial inteligence and healthcare: Diagnostics and treatment outcome. International Research Journal of Modernization in Engineering Technology and Science. 2024; 6(4): 15-22.
5. Mitra PK, Mitra P, Ghosh T. Medical ethics amongst medical intern students: A study from the eastern part of India. Global Bioethics Enquiry. 2017; 5(2): 73-7.
6. Ranasinghe AW, Fernando B, Sumathipala A, Gunathunga W. Medical ethics: knowledge, attitude and practice among doctors in three teaching hospitals in Sri Lanka. BMC Med Ethics. 2020; 21(1): 69. PMID: 32758219 DOI: 10.1186/s12910-020-00511-4
7. Karimian G, Petelos E, Evers SM. The ethical issues of the application of artificial intelligence in healthcare: A systematic scoping review. AI and Ethics. 2022; 2(4): 539-51.
8. Tang L, Li J, Fantus S. Medical artificial intelligence ethics: A systematic review of empirical studies. Digit Health. 2023; 9: 20552076231186064. PMID: 37434728 DOI: 10.1177/20552076231186064
9. Bailey Z, Mahoney P, Miron M, Bricknell M. Thematic analysis of military medical ethics publications from 2000 to 2020: A bibliometric approach. Mil Med. 2022; 187(7-8): e837-45. PMID: 34331064 DOI: 10.1093/milmed/usab317
10. Floridi L, Cowls J, Beltrametti M, Chatila R, Chazerand P, Dignum V, et al. AI4People - an ethical framework for a good AI society: Opportunities, risks, principles, and recommendations. Minds Mach (Dordr). 2018; 28(4): 689-707. PMID: 30930541 DOI: 10.1007/s11023-018-9482-5
11. Morley J, Machado CC, Burr C, Cowls J, Joshi I, Taddeo M, et al. The ethics of AI in health care: A mapping review. Soc Sci Med. 2020; 260: 113172. PMID: 32702587 DOI: 10.1016/j.socscimed.2020.113172
12. Mittelstadt BD, Allo P, Taddeo M, Wachter S, Floridi L. The ethics of algorithms: Mapping the debate. Big Data & Society. 2016; 3(2): 2053951716679679.
13. Secinaro S, Calandra D, Secinaro A, Muthurangu V, Biancone P. The role of artificial intelligence in healthcare: A structured literature review. BMC Med Inform Decis Mak. 2021; 21(1): 125. PMID: 33836752 DOI: 10.1186/s12911-021-01488-9
14. Haeussler C, Sauermann H. Division of labor in collaborative knowledge production: The role of team size and interdisciplinarity. Research Policy. 2020; 49(6): 103987.
15. Murphy K, Di Ruggiero E, Upshur R, Willison DJ, Malhotra N, Cai JC, et al. Artificial intelligence for good health: A scoping review of the ethics literature. BMC Med Ethics. 2021; 22(1): 14. PMID: 33588803 DOI: 10.1186/s12910-021-00577-8
16. Asan A, Aslan A. Quartile scores of scientific journals: Meaning, importance and usage. Acta Medica Alanya. 2020; 4(1): 102-8.
17. Hami A, Khazaee-Nasirabadi MH, Mirzaee Khalilabadi R, Bazi A, Mousavi Sh, Sadatmoosavi A. The scientometric analysis of highly-cited articles in hematology published from 2010 to 2020. Journal of Medical Library and Information Science. 2024; 5: e58.
18. Azadi Ahmadabadi G. Examining the effects of various scientific collaborations on the quality of Iranian scientific publications in biotechnology. Caspian Journal of Scientometrics. 2023; 10(2): 65-76.
19. Busch F, Adams LC, Bressem KK. Biomedical ethical aspects towards the implementation of artificial intelligence in medical education. Med Sci Educ. 2023; 33(4): 1007-12. PMID: 37546190 DOI: 10.1007/s40670-023-01815-x
20. Jobin A, Ienca M, Vayena E. The global landscape of AI ethics guidelines. Nature Machine Intelligence. 2019; 1(9): 389-99.
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