REFERENCES
2. Wu L, Zhao X, Lu ZD, Yang Y, Ma L, Li P. Accuracy analysis of artificial intelligence-assisted three-dimensional preoperative planning in total hip replacement. Jt Dis Relat Surg. 2023;34:537-47.
3. Hameed BMZ, Shah M, Naik N, et al. The ascent of artificial intelligence in endourology: a systematic review over the last 2 decades. Curr Urol Rep. 2021;22:53.
4. Deol ES, Kavoussi NL. Artificial intelligence applications in kidney stone disease. Artificial intelligence in urology. Elsevier; 2025. pp. 169-91.
5. Shah N, Khalid U, Kavia R, Batura D. Current advances in the use of artificial intelligence in predicting and managing urological complications. Int Urol Nephrol. 2024;56:3427-35.
6. Kapila AK, Georgiou L, Hamdi M. Decoding the impact of AI on microsurgery: systematic review and classification of six subdomains for future development. Plast Reconstr Surg Glob Open. 2024;12:e6323.
7. Kiwan O, Al-Kalbani M, Rafie A, Hijazi Y. Artificial intelligence in plastic surgery, where do we stand? JPRAS Open. 2024;42:234-43.
8. Fortune-Ely M, Achanta M, Song MSH. The future of artificial intelligence in facial plastic surgery. JPRAS Open. 2024;39:89-92.
9. Knoedler L, Odenthal J, Prantl L, et al. Artificial intelligence-enabled simulation of gluteal augmentation: a helpful tool in preoperative outcome simulation? J Plast Reconstr Aesthet Surg. 2023;80:94-101.
10. Kapila AK, Hamdi M. Time to evolve plastic surgery education? Plast Reconstr Surg Glob Open. 2024;12:e5778.
11. Nogueira R, Eguchi M, Kasmirski J, et al. Machine learning, deep learning, artificial intelligence and aesthetic plastic surgery: a qualitative systematic review. Aesthetic Plast Surg. 2025;49:389-99.
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.
13. Shiraishi M, Tanigawa K, Tomioka Y, et al. Blepharoptosis consultation with artificial intelligence: aesthetic surgery advice and counseling from chat generative pre-trained transformer (ChatGPT). Aesthetic Plast Surg. 2024;48:2057-63.
14. Berry CE, Fazilat AZ, Lavin C, et al. Both patients and plastic surgeons prefer artificial intelligence-generated microsurgical information. J Reconstr Microsurg. 2024;40:657-64.
15. Patel I, Om A, Cuzzone D, Garcia Nores G. Comparing ChatGPT vs surgeon-generated informed consent documentation for plastic surgery procedures. Aesthet Surg J Open Forum. 2024;6:ojae092.
16. Patil NS, Huang R, Mihalache A, et al. The ability of artificial intelligence chatbots chatgpt and google bard to accurately convey preoperative information for patients undergoing ophthalmic surgeries. Retina. 2024;44:950-3.
17. Tian WM, Sergesketter AR, Hollenbeck ST. The role of ChatGPT in microsurgery: assessing content quality and potential applications. J Reconstr Microsurg. 2024;40:e1-2.
18. Hassan AM, Rajesh A, Asaad M, et al. Artificial intelligence and machine learning in prediction of surgical complications: current state, applications, and implications. Am Surg. 2023;89:25-30.
19. Rotenstein L, Melnick ER, Iannaccone C, et al. Virtual scribes and physician time spent on electronic health records. JAMA Netw Open. 2024;7:e2413140.
20. van Buchem MM, Boosman H, Bauer MP, Kant IMJ, Cammel SA, Steyerberg EW. The digital scribe in clinical practice: a scoping review and research agenda. NPJ Digit Med. 2021;4:57.
21. Park KW, Diop M, Willens SH, Pepper JP. Artificial intelligence in facial plastics and reconstructive surgery. Otolaryngol Clin North Am. 2024;57:843-52.
23. Loftus TJ, Vlaar APJ, Hung AJ, et al. Executive summary of the artificial intelligence in surgery series. Surgery. 2022;171:1435-9.
24. Driver CN, Bowles BS, Bartholmai BJ, Greenberg-Worisek AJ. Artificial intelligence in radiology: a call for thoughtful application. Clin Transl Sci. 2020;13:216-8.
25. McKinney SM, Sieniek M, Godbole V, et al. International evaluation of an AI system for breast cancer screening. Nature. 2020;577:89-94.
26. Cevik J, Seth I, Rozen WM. Transforming breast reconstruction: the pioneering role of artificial intelligence in preoperative planning. Gland Surg. 2023;12:1271-5.
27. Kapila AK, Kempny T, Knoz M, Holoubek J, Lipovy B, Hamdi M. An algorithm in managing deep inferior epigastric vessel interruption in free flap breast reconstruction. Plast Reconstr Surg Glob Open. 2023;11:e4938.
28. Thimmappa ND. MRA for preoperative planning and postoperative management of perforator flap surgeries: a review. J Magn Reson Imaging. 2024;59:797-811.
29. Lim B, Cevik J, Seth I, et al. Evaluating artificial intelligence’s role in teaching the reporting and interpretation of computed tomographic angiography for preoperative planning of the deep inferior epigastric artery perforator flap. JPRAS Open. 2024;40:273-85.
30. Cevik J, Seth I, Hunter-Smith DJ, Rozen WM. A history of innovation: tracing the evolution of imaging modalities for the preoperative planning of microsurgical breast reconstruction. J Clin Med. 2023;12:5246.
31. Mavioso C, Araújo RJ, Oliveira HP, et al. Automatic detection of perforators for microsurgical reconstruction. Breast. 2020;50:19-24.
32. Kim J, Lee SM, Kim DE, et al. Development of an automated free flap monitoring system based on artificial intelligence. JAMA Netw Open. 2024;7:e2424299.
33. Chartier C, Watt A, Lin O, Chandawarkar A, Lee J, Hall-Findlay E. BreastGAN: artificial intelligence-enabled breast augmentation simulation. Aesthet Surg J Open Forum. 2022;4:ojab052.
34. Parsa S, Basagaoglu B, Mackley K, Aitson P, Kenkel J, Amirlak B. Current and future photography techniques in aesthetic surgery. Aesthet Surg J Open Forum. 2022;4:ojab050.
35. Eldaly AS, Avila FR, Torres-Guzman RA, et al. Simulation and artificial intelligence in rhinoplasty: a systematic review. Aesthetic Plast Surg. 2022;46:2368-77.
36. Şimşek İ, Şirolu C. Analysis of surgical outcome after upper eyelid surgery by computer vision algorithm using face and facial landmark detection. Graefes Arch Clin Exp Ophthalmol. 2021;259:3119-25.
37. Baecher H, Hoch CC, Knoedler S, et al. From bench to bedside - current clinical and translational challenges in fibula free flap reconstruction. Front Med. 2023;10:1246690.
38. Liang Y, Huan J, Li JD, Jiang C, Fang C, Liu Y. Use of artificial intelligence to recover mandibular morphology after disease. Sci Rep. 2020;10:16431.
39. Yang WF, Su YX. Artificial intelligence-enabled automatic segmentation of skull CT facilitates computer-assisted craniomaxillofacial surgery. Oral Oncol. 2021;118:105360.
40. Rokhshad R, Keyhan SO, Yousefi P. Artificial intelligence applications and ethical challenges in oral and maxillo-facial cosmetic surgery: a narrative review. Maxillofac Plast Reconstr Surg. 2023;45:14.
41. Fung E, Patel D, Tatum S. Artificial intelligence in maxillofacial and facial plastic and reconstructive surgery. Curr Opin Otolaryngol Head Neck Surg. 2024;32:257-62.
42. Fazilat AZ, Brenac C, Kawamoto-Duran D, et al. Evaluating the quality and readability of ChatGPT-generated patient-facing medical information in rhinology. Eur Arch Otorhinolaryngol. 2025;282:1911-20.
44. Sutherland LM, Middleton PF, Anthony A, et al. Surgical simulation: a systematic review. Ann Surg. 2006;243:291-300.
45. Agrawal N, Turner A, Grome L, et al. Use of simulation in plastic surgery training. Plast Reconstr Surg Glob Open. 2020;8:e2896.
46. 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.
47. Abi-Rafeh J, Bassiri-Tehrani B, Kazan R, et al. Preoperative patient guidance and education in aesthetic breast plastic surgery: a novel proposed application of artificial intelligence large language models. Aesthet Surg J Open Forum. 2024;6:ojae062.
48. Souza S, Bhethanabotla RM, Mohan S. Applications of artificial intelligence in facial plastic and reconstructive surgery: a systematic review. Curr Opin Otolaryngol Head Neck Surg. 2024;32:222-33.
49. Murphy DC, Saleh DB. The annals of the royal college of surgeons of england. 2020;102:577. Available from: https://scholar.google.com/scholar?cluster=6979955655115776717&hl=zh-CN&as_sdt=5,48&sciodt=0,48. [Last accessed on 24 Apr 2025].
50. Cobianchi L, Verde JM, Loftus TJ, et al. Artificial intelligence and surgery: ethical dilemmas and open issues. J Am Coll Surg. 2022;235:268-75.
51. Power D. Ethical considerations in the era of AI, automation, and surgical robots: there are plenty of lessons from the past. Discov Artif Intell. 2024;4:166.
52. Copeland-Halperin LR, Oppikofer C. Artificial intelligence, data protection, privacy, and doxxing. Aesthet Surg J. 2025;45:223-4.
53. Capelli G, Verdi D, Frigerio I, et al; Artificial Intelligence Surgery Editorial Board Study Group on Ethics. White paper. Ethics and trustworthiness of artificial intelligence in clinical surgery. 2023. Available from: https://iris.uniroma1.it/handle/11573/1685251. [Last accessed on 24 Apr 2025].
54. O’Sullivan S, Nevejans N, Allen C, et al. Legal, regulatory, and ethical frameworks for development of standards in artificial intelligence (AI) and autonomous robotic surgery. Int J Med Robot. 2019;15:e1968.
55. Kenig N, Monton Echeverria J, Muntaner Vives A. Human beauty according to artificial intelligence. Plast Reconstr Surg Glob Open. 2023;11:e5153.
56. Bernal IC, Andre J, Patel M, Newman MI. Beauty re-defined: a comparative analysis of artificial intelligence-generated ideals and traditional standards. Cureus. 2024;16:e71026. Available from: https://assets.cureus.com/uploads/original_article/pdf/248904/20241108. [Last accessed on 24 Apr 2025].
