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REFERENCES
1. Poole D, Mackworth AK, Goebel R. Computational intelligence: a logical approach. Oxford University Press; 1998. Available from:
https://www.researchgate.net/publication/220689680_Computational_Intelligence_A_Logical_Approach. [Last accessed on 24 Jun
2025].
2. OpenAI. ChatGPT (Version 4) Large language model. OpenAI. 2024. Available from: https://chatgpt.com/. [Last accessed on 24 Jun
2025].
3. Nagi F, Salih R, Alzubaidi M, et al. Applications of artificial intelligence (AI) in medical education: a scoping review. Stud Health
Technol Inform. 2023;305:648-51. DOI PubMed
4. Luce EA. The future of plastic surgery resident education. Plast Reconstr Surg. 2016;137:1063-70. DOI PubMed
5. Farid Y, Fernando Botero Gutierrez L, Ortiz S, et al. Artificial intelligence in plastic surgery: insights from plastic surgeons, education
integration, ChatGPT’s survey predictions, and the path forward. Plast Reconstr Surg Glob Open. 2024;12:e5515. DOI PubMed
PMC
6. Kapila AK, Hamdi M. Time to evolve plastic surgery education? Integrating robotic techniques and artificial intelligence into training
curricula. Plast Reconstr Surg Glob Open. 2024;12:e5778. DOI PubMed PMC
7. St John A, Cooper L, Kavic SM. The role of artificial intelligence in surgery: what do general surgery residents think? Am Surg.
2024;90:541-9. DOI PubMed
8. Tricco AC, Lillie E, Zarin W, et al. PRISMA extension for scoping reviews (PRISMA-ScR): checklist and explanation. Ann Intern
Med. 2018;169:467-73. DOI PubMed
9. DiDonna N, Shetty PN, Khan K, Damitz L. Unveiling the potential of AI in plastic surgery education: a comparative study of leading
AI platforms’ performance on in-training examinations. Plast Reconstr Surg Glob Open. 2024;12:e5929. DOI PubMed PMC
10. Gupta R, Herzog I, Park JB, et al. Performance of ChatGPT on the plastic surgery inservice training examination. Aesthet Surg J.
2023;43:NP1078-82. DOI PubMed
11. Hubany SS, Scala FD, Hashemi K, et al. ChatGPT-4 surpasses residents: a study of artificial intelligence competency in plastic surgery
in-service examinations and its advancements from ChatGPT-3.5. Plast Reconstr Surg Glob Open. 2024;12:e6136. DOI PubMed
PMC
12. Humar P, Asaad M, Bengur FB, Nguyen V. ChatGPT is equivalent to first-year plastic surgery residents: evaluation of ChatGPT on
the plastic surgery in-service examination. Aesthet Surg J. 2023;43:NP1085-9. DOI PubMed
13. Koljonen V. What could we make of AI in plastic surgery education. J Plast Reconstr Aesthet Surg. 2023;81:94-6. DOI PubMed
14. Saadya A, Davis CR. Revolutionizing plastic surgery education: leveraging artificial intelligence for an innovative podcast learning
platform. Plast Reconstr Surg. 2024;154:847e-8e. DOI PubMed
15. Shah P, Bogdanovich B, Patel PA, Boyd CJ. Assessing the plastic surgery knowledge of three natural language processor artificial
intelligence programs. J Plast Reconstr Aesthet Surg. 2024;88:193-5. DOI PubMed
16. Zhang A, Dimock E, Gupta R, Chen K. The new frontier: utilizing ChatGPT to expand craniofacial research. Arch Craniofac Surg.
2024;25:116-22. DOI PubMed PMC
17. Hui Z, Zewu Z, Jiao H, Yu C. Application of ChatGPT-assisted problem-based learning teaching method in clinical medical education.
BMC Med Educ. 2025;25:50. DOI PubMed PMC
18. Li TP, Slocum S, Sahoo A, et al. Socratic artificial intelligence learning (SAIL): the role of a virtual voice assistant in learning