ARTIFICIAL INTELLIGENCE IN SURGERY AND SURGICAL EDUCATION

Authors

  • E. TARCOVEANU ‟Grigore Popa” University of Medicine and Pharmacy Iași

DOI:

https://doi.org/10.22551/5ctth807

Keywords:

ARTIFICIAL INTELLIGENCE, SURGERY, SURGICAL EDUCATION

Abstract

Modern surgery has undergone an impressive evolution due to advancements in fundamental research, anesthesia, diagnostic tools, genetics, immunology, pharmacology, and especially artificial intelligence (AI). AI is defined as “the study of computations that enable a machine to perceive, reason, and act.” In 1950, Alan Turing described intelligent behavior in computers as the ability to achieve human-level performance in cognitive tasks. Over the past 20 years, interest in AI in the medical field has significantly increased, leading to a true revolution and high expectations.

Author Biography

  • E. TARCOVEANU, ‟Grigore Popa” University of Medicine and Pharmacy Iași

    Romanian Academy of Medical Sciences

References

1. Apetrei E. Artificial Intelligence in Cardiology. Med Surg J - Rev Med Chir Soc Med Nat Iasi 2023; 127(2): 163-169.

2. Ward TM, Meireles O. The Cognitive Revolution. In: Atallah S. (eds) Digital Surgery. Springer, Cham 2021 / doi: 10.1007/978-3-030-49100-0_1

3. Byrd Th, Tignanelli Chr. Artificial intelligence in surgery - a narrative review. Journal of Medical Artificial Intelligence 2024; 7: 1-13 / doi: 10.21037/jmai-24.

4. Varghese C, Harrison EM, O’Grady G, et al. Artificial intelligence in surgery. Nat Med 2024; 30: 1257-1268 / doi: 10.1038/s41591-024-02970-3.

5. 5.Huettl F, Saalfeld P, Hansen C, et al. Virtual reality and 3D printing improve preoperative visuali-zation of 3D liver reconstructions-results from a preclinical comparison of presentation modalities and user’s preference. Ann Transl Med 2021; 9: 1074.

6. Mascagni P, Alapatt D, Sestini L, et al. Computer vision in surgery: from potential to clinical value. NPJ Digit Med 2022; 5: 163.

7. Kok END, Eppenga R, Kuhlmann KFD, et al. Accurate surgical navigation with real-time tumor tracking in cancer surgery. NPJ Precis Oncol 2020; 4: 8.

8. Aasvang EK, Meyhoff CS. The future of postoperative vital sign monitoring in general wards: im-proving patient safety through continuous artificial intelligence-enabled alert formation and reduction. Curr Opin Anaesthesiol 2023; 36: 683-690.

9. Byrd TF 4th, Ho J, Tignanelli CJ. Invited Commentary: Postoperative Artificial Intelligence Model for ICU Triage. J Am Coll Surg 2023; 236: 292-293.

10. Lysaght T, Lim HY, Xafis V, et al. AI-Assisted Decision-making in Healthcare. Asian Bioeth Rev 2019; 11: 299-314.

11. Huriye AZ. The Ethics of Artificial Intelligence: Examining the Ethical Considerations Surrounding the Development and Use of AI. American Journal of Technology 2023; 2(1): 37-44.

12. Târcoveanu E, Moldovanu R. Rezidențiatul în chirurgie - probleme noi, soluții vechi. decalogul pregătirii rezidenților. Jurnalul de Chirurgie, Iași 2009; 5(2): 109-114.

13. Wentink M, Stassen LP, Alwayn I, Hosman RJ, Stassen HG. Rasmussen's model of human behavior in laparoscopy training. Surg Endosc 2003; 17: 1241-1246.

14. Moldovanu R, Târcoveanu E, Dimofte GM, Lupaşcu C, Bradea C. Preoperative warm-up using a virtual reality simulator. JSLS 2011; 15(4): 533-538.

15. Sarofim M. Navigating the inevitable convergence of artificial intelligence and surgical training programs. Surgeon 2024; 22: e155-156.

16. Bates DW, Levine D, Syrowatka A, et al. The potential of artificial intelligence to improve patient safety: a scoping review. NPJ Digit Med 2021; 4: 54 / doi: 10.1038/s41746-021-00423-6

17. Târcoveanu E. Surgery and the surgeon today. Med Surg J - Rev Med Chir Soc Med Nat Iasi 1995; 99(1-2): 11-14.

Additional Files

Published

2025-04-07