Use of Artificial Intelligence as a “Second Opinion” and Its Influence on the Autonomy of Clinical Physicians

Authors

  • Marilia Pinheiro Palmejani Universidade Anhanguera-UNIDERP
  • Samuel Felipe Almeida Silva Universidade Anhanguera-UNIDERP
  • Fernando Barraca de Jesus Meche Universidade Anhanguera-UNIDERP
  • Isabela Azambuja Miotto Centro Universitário São Camilo

DOI:

https://doi.org/10.5281/zenodo.19375750

Keywords:

Artificial intelligence, Clinical decision-making, Medical autonomy, Decision support systems, Clinical practice

Abstract

This study aimed to analyze, through a systematic literature review, the use of artificial intelligence as a “second opinion” tool and its influence on the autonomy of clinical physicians. This is a descriptive and analytical review conducted through searches in PubMed/MEDLINE, Scopus, Web of Science, and Embase databases, using descriptors related to artificial intelligence, clinical decision support systems, physicians, autonomy, and decision-making. Original studies available in full text that evaluated the interaction between artificial intelligence tools and the medical decision-making process were included. The results demonstrated a growing use of artificial intelligence as a support tool in clinical decision-making, with a significant impact on diagnostic accuracy and standardization of care. However, it was observed that the use of these technologies may influence medical autonomy both positively, by increasing decision-making confidence, and negatively, by promoting technological dependence and reduced critical thinking in certain contexts. Additionally, factors such as professional experience, trust in technology, and clinical environment were found to influence this relationship. It is concluded that artificial intelligence is a promising tool in clinical practice; however, its use must be balanced with the preservation of medical autonomy, requiring guidelines to ensure its ethical and safe integration.

Author Biographies

Marilia Pinheiro Palmejani, Universidade Anhanguera-UNIDERP

Graduanda em Medicina.

Samuel Felipe Almeida Silva, Universidade Anhanguera-UNIDERP

Graduando em Medicina.

Fernando Barraca de Jesus Meche, Universidade Anhanguera-UNIDERP

Graduando em Medicina.

Isabela Azambuja Miotto, Centro Universitário São Camilo

Graduanda em Medicina.

References

1. Ploug T, Holm S. The right to a second opinion on artificial intelligence diagnosis—remedying the inadequacy of a risk-based regulation. Bioethics. 2023;37(3):303–311. doi:10.1111/bioe.13124.

2. Samhammer D, Roller R, Hummel P, Osmanodja B, Burchardt A, Mayrdorfer M, et al. “Nothing works without the doctor:” Physicians’ perception of clinical decision-making and artificial intelligence. Front Med (Lausanne). 2022;9:1016366. doi:10.3389/fmed.2022.1016366.

3. Montanari Vergallo G, Campanozzi LL, Gulino M, Bassis L, Ricci P, Zaami S, et al. How could artificial intelligence change the doctor–patient relationship? A medical ethics perspective. Healthcare. 2025;13(18):2340. doi:10.3390/healthcare13182340.

4. Malta KC, Lamy M. The challenges of patient autonomy in the face of the use of artificial intelligence in health. Cad Ibero Am Direito Sanit. 2025;14(4). doi:10.17566/ciads.v14i4.1348

.

5. Dai T, Singh S. Using artificial intelligence as gatekeeper or second opinion: designing patient pathways for artificial intelligence augmented healthcare. Prod Oper Manag. 2025;0(0).

6. Heinrichs H, Kies A, Nagel SK, Kiessling F. Physicians’ attitudes toward artificial intelligence in medicine: mixed methods survey and interview study. J Med Internet Res. 2025;27:e74187. doi:10.2196/74187.

7. Ziethmann P, Stieler F, Kranz Walter S, et al. Enhancing trust and agency: integrating citizen perspectives into AI-assisted shared decision-making in medicine. AI Soc. 2026. doi:10.1007/s00146-026-02906-0.

8. Duffourc MN, Giovanniello DS. The autonomous AI physician: medical ethics and legal liability. In: Sousa Antunes H, Freitas PM, Oliveira AL, Martins Pereira C, Vaz de Sequeira E, Barreto Xavier L, editors. Multidisciplinary perspectives on artificial intelligence and the law. Cham: Springer; 2024. p. [intervalo de páginas]. doi:10.1007/978-3-031-41264-6_11.

9. Lombi L, Rossero E. How artificial intelligence is reshaping the autonomy and boundary work of radiologists: a qualitative study. Sociol Health Illn. 2023;46(2):200–218. doi:10.1111/1467-9566.13702.

10. Robertson C, Woods A, Bergstrand K, Findley J, Balser C, Slepian MJ. Diverse patients’ attitudes towards artificial intelligence (AI) in diagnosis. PLOS Digit Health. 2023;2(5):e0000237. doi:10.1371/journal.pdig.0000237.

Published

2026-03-31

How to Cite

Palmejani, M. P., Silva, S. F. A., Meche, F. B. de J., & Miotto, I. A. (2026). Use of Artificial Intelligence as a “Second Opinion” and Its Influence on the Autonomy of Clinical Physicians. International Journal of Health and Surgical Research, 2(3), 53–63. https://doi.org/10.5281/zenodo.19375750