REFERENCES

1. Lima DL, Kasakewitch J, Nguyen DQ, et al. Machine learning, deep learning and hernia surgery. Are we pushing the limits of abdominal core health? A qualitative systematic review. Hernia. 2024;28:1405-12.

2. Chilamkurthy S, Ghosh R, Tanamala S, et al. Deep learning algorithms for detection of critical findings in head CT scans: a retrospective study. Lancet. 2018;392:2388-96.

3. Gong D, Wu L, Zhang J, et al. Detection of colorectal adenomas with a real-time computer-aided system (ENDOANGEL): a randomised controlled study. Lancet Gastroenterol Hepatol. 2020;5:352-61.

4. Gulshan V, Peng L, Coram M, et al. Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs. JAMA. 2016;316:2402-10.

5. Esteva A, Kuprel B, Novoa RA, et al. Dermatologist-level classification of skin cancer with deep neural networks. Nature. 2017;542:115-8.

6. Hassan AM, Biaggi-Ondina A, Asaad M, et al. Artificial intelligence modeling to predict periprosthetic infection and explantation following implant-based reconstruction. Plast Reconstr Surg. 2023;152:929-38.

7. Mavioso C, Araújo RJ, Oliveira HP, et al. Automatic detection of perforators for microsurgical reconstruction. Breast. 2020;50:19-24.

8. Kenig N, Monton Echeverria J, De la Ossa L. Identification of key breast features using a neural network: applications of machine learning in the clinical setting of plastic surgery. Plast Reconstr Surg. 2024;153:273e-80e.

9. Loftus TJ, Tighe PJ, Filiberto AC, et al. Artificial intelligence and surgical decision-making. JAMA Surg. 2020;155:148-58.

10. Gumbs AA, Parretta S, d’Allemagne B, Chouillard E. What is artificial intelligence surgery? Artif Intell Surg. 2021;1:1-10.

11. Choi RY, Coyner AS, Kalpathy-Cramer J, Chiang MF, Campbell JP. Introduction to machine learning, neural networks, and deep learning. Transl Vis Sci Technol. 2020;9:14. Available from: https://www.researchgate.net/publication/344419928_Introduction_to_Machine_Learning_Neural_Networks_and_Deep_Learning. [Last accessed on 22 May 2025]

12. TerKonda SP, TerKonda AA, Sacks JM, et al. Artificial intelligence: singularity approaches. Plast Reconstr Surg. 2024;153:204e-17e.

13. Kingsnorth A, LeBlanc K. Hernias: inguinal and incisional. Lancet. 2003;362:1561-71.

14. Deerenberg EB, Harlaar JJ, Steyerberg EW, et al. Small bites versus large bites for closure of abdominal midline incisions (STITCH): a double-blind, multicentre, randomised controlled trial. Lancet. 2015;386:1254-60.

15. Poulose BK, Shelton J, Phillips S, et al. Epidemiology and cost of ventral hernia repair: making the case for hernia research. Hernia. 2012;16:179-83.

16. Holihan JL, Alawadi Z, Martindale RG, et al. Adverse events after ventral hernia repair: the vicious cycle of complications. J Am Coll Surg. 2015;221:478-85.

17. Maloney SR, Schlosser KA, Prasad T, et al. Twelve years of component separation technique in abdominal wall reconstruction. Surgery. 2019;166:435-44.

18. Heniford BT, Ross SW, Wormer BA, et al. Preperitoneal ventral hernia repair: a decade long prospective observational study with analysis of 1023 patient outcomes. Ann Surg. 2020;271:364-74.

19. O’Brien WJ, Ramos RD, Gupta K, Itani KMF. Neural network model to detect long-term skin and soft tissue infection after hernia repair. Surg Infect. 2021;22:668-74.

20. Hassan AM, Lu SC, Asaad M, et al. Novel machine learning approach for the prediction of hernia recurrence, surgical complication, and 30-day readmission after abdominal wall reconstruction. J Am Coll Surg. 2022;234:918-27.

21. Ortega-Deballon P, Renard Y, de Launay J, Lafon T, Roset Q, Passot G. Incidence, risk factors, and burden of incisional hernia repair after abdominal surgery in France: a nationwide study. Hernia. 2023;27:861-71.

22. Choi JH, Janjua H, Cios K, et al. Machine learning analysis of postlaparoscopy hernias and “I’m leaving you to close” strategy. J Surg Res. 2023;290:171-7.

23. Esteva A, Robicquet A, Ramsundar B, et al. A guide to deep learning in healthcare. Nat Med. 2019;25:24-9.

24. Rajpurkar P, Lungren MP. The current and future state of AI interpretation of medical images. N Engl J Med. 2023;388:1981-90.

25. Elhage SA, Deerenberg EB, Ayuso SA, et al. Development and validation of image-based deep learning models to predict surgical complexity and complications in abdominal wall reconstruction. JAMA Surg. 2021;156:933-40.

26. Ayuso SA, Elhage SA, Zhang Y, et al. Predicting rare outcomes in abdominal wall reconstruction using image-based deep learning models. Surgery. 2023;173:748-55.

27. McAuliffe PB, Desai AA, Talwar AA, et al. Preoperative computed tomography morphological features indicative of incisional hernia formation after abdominal surgery. Ann Surg. 2022;276:616-25.

28. Talwar AA, Desai AA, McAuliffe PB, et al. Optimal computed tomography-based biomarkers for prediction of incisional hernia formation. Hernia. 2024;28:17-24.

29. Wilson HH, Ma C, Ku D, et al. Deep learning model utilizing clinical data alone outperforms image-based model for hernia recurrence following abdominal wall reconstruction with long-term follow up. Surg Endosc. 2024;38:3984-91.

30. Mayol J. Transforming abdominal wall surgery with generative artificial intelligence. J Abdom Wall Surg. 2023;2:12419.

31. Lima DL, Nogueira R, Liu J, et al. How appropriate are recommendations of online chat-based artificial intelligence (ChatGPT) to common questions on ventral hernia repair? J Laparoendosc Adv Surg Tech A. 2024;34:365-7.

32. Haug CJ, Drazen JM. Artificial intelligence and machine learning in clinical medicine, 2023. N Engl J Med. 2023;388:1201-8.

33. Restrepo-Rodas G, Barajas-Gamboa JS, Ortiz Aparicio FM, et al. The role of AI in modern hernia surgery: a review and practical insights. Surg Innov. 2025;32:301-11. Available from: https://pubmed.ncbi.nlm.nih.gov/40104921/. [Last accessed on 22 May 2025]

34. Choksi S, Szot S, Zang C, et al. Bringing artificial intelligence to the operating room: edge computing for real-time surgical phase recognition. Surg Endosc. 2023;37:8778-84.

35. Warren JA, Blackhurst D, Ewing JA, Carbonell AM. Open versus robotic retromuscular ventral hernia repair: outcomes of the ORREO prospective randomized controlled trial. Surg Endosc. 2024;38:7466-74.

36. Atkinson CJ, Seth I, Xie Y, et al. Artificial intelligence language model performance for rapid intraoperative queries in plastic surgery: ChatGPT and the deep inferior epigastric perforator flap. J Clin Med. 2024;13:900.

37. Shiraishi M, Tomioka Y, Miyakuni A, et al. Generating informed consent documents related to blepharoplasty using ChatGPT. Ophthalmic Plast Reconstr Surg. 2024;40:316-20.

Artificial Intelligence Surgery
ISSN 2771-0408 (Online)
Follow Us

Portico

All published articles will be preserved here permanently:

https://www.portico.org/publishers/oae/

Portico

All published articles will be preserved here permanently:

https://www.portico.org/publishers/oae/