Page 22 - Read Online
P. 22

Page 267                                                         Collins et al. Art Int Surg. 2025;5:254-69  https://dx.doi.org/10.20517/ais.2024.92

               Ethical approval and consent to participate
               Not applicable.


               Consent for publication
               Not applicable.


               Copyright
               © The Author(s) 2025.


               REFERENCES
               1.       HerniaSurge Group. International guidelines for groin hernia management. Hernia. 2018;22:1-165.  DOI  PubMed  PMC
               2.       Allied Market Research. Hernia repair devices and consumables market size, share, competitive landscape and trend analysis report, by
                   product, surgery type and hernia type : global opportunity analysis and industry forecast, 2020-2027. Available from: https://www.
                   alliedmarketresearch.com/hernia-repair-devices-market. [Last accessed on 17 Apr 2025].
               3.       Wang F, Ma B, Ma Q, Liu X. Global, regional, and national burden of inguinal, femoral, and abdominal hernias: a systematic analysis
                   of prevalence, incidence, deaths, and DALYs with projections to 2030. Int J Surg. 2024;110:1951-67.  DOI  PubMed  PMC
               4.       Smith JM, Kapur SK, Mericli AF, Baumann DP, Butler CE. Parastomal hernia repair. Plast Aesthet Res. 2022;9:10.  DOI
               5.       Köckerling F, Sheen AJ, Berrevoet F, et al. The reality of general surgery training and increased complexity of abdominal wall hernia
                   surgery. Hernia. 2019;23:1081-91.  DOI  PubMed  PMC
               6.       Tuma F, Lopez RA, Varacallo MA. Anatomy, abdomen and pelvis: inguinal region (inguinal canal). Available from: http://www.ncbi.
                   nlm.nih.gov/books/NBK470204/. [Last accessed on 17 Apr 2025].
               7.       Roos MM, Bakker WJ, Schouten N, et al. Higher recurrence rate after endoscopic totally extraperitoneal (TEP) inguinal hernia repair
                   with ultrapro lightweight mesh: 5-year results of a randomized controlled trial (TULP-trial). Ann Surg. 2018;268:241-6.  DOI
               8.       Wu F, Zhang X, Liu Y, Cao D, Yu Y, Ma Y. Lightweight mesh versus heavyweight mesh for laparo-endoscopic inguinal hernia repair:
                   a systematic review and meta-analysis. Hernia. 2020;24:31-9.  DOI
               9.       Bakker WJ, Aufenacker TJ, Boschman JS, Burgmans JPJ. Heavyweight mesh is superior to lightweight mesh in laparo-endoscopic
                   inguinal hernia repair: a meta-analysis and trial sequential analysis of randomized controlled trials. Ann Surg. 2021;273:890-9.  DOI
                   PubMed
               10.      Levy AS, Bernstein JL, Celie KB, Spector JA. Quantifying fascial tension in ventral hernia repair and component separation. Hernia.
                   2021;25:107-14.  DOI  PubMed
               11.      Dietz UA, Kudsi OY, Gokcal F, et al. Excess body weight and abdominal hernia. Visc Med. 2021;37:246-53.  DOI  PubMed  PMC
               12.      de Beaux A, Becker S, Parent T, et al. Hernia Basecamp - a free to use, online hernia learning platform. Analysis of its use since
                   launch in June 2021. J Abdom Wall Surg. 2023;2:11803.  DOI  PubMed  PMC
               13.      Xu Y, Saiding Q, Zhou X, Wang J, Cui W, Chen X. Electrospun fiber-based immune engineering in regenerative medicine. Smart
                   Med. 2024;3:e20230034.  DOI  PubMed  PMC
               14.      Murphy BL, Ubl DS, Zhang J, Habermann EB, Farley DR, Paley K. Trends of inguinal hernia repairs performed for recurrence in the
                   United States. Surgery. 2018;163:343-50.  DOI  PubMed
               15.      Palser TR, Swift S, Williams RN, Bowrey DJ, Beckingham IJ. Variation in outcomes and use of laparoscopy in elective inguinal
                   hernia repair. BJS Open. 2019;3:466-75.  DOI  PubMed  PMC
               16.      Takeuchi M, Collins T, Lipps C, et al. Towards automatic verification of the critical view of the myopectineal orifice with artificial
                   intelligence. Surg Endosc. 2023;37:4525-34.  DOI
               17.      Takeuchi M, Collins T, Ndagijimana A, et al. Automatic surgical phase recognition in laparoscopic inguinal hernia repair with
                   artificial intelligence. Hernia. 2022;26:1669-78.  DOI
               18.      LeCun Y, Bengio Y, Hinton G. Deep learning. Nature. 2015;521:436-44.  DOI  PubMed
               19.      Chan H, Samala RK, Hadjiiski LM, Zhou C. Deep learning in medical image analysis. In: Lee G, Fujita H, editors. Deep learning in
                   medical image analysis. Cham: Springer International Publishing; 2020. pp. 3-21.  DOI  PubMed  PMC
               20.      De Coster M, Shterionov D, Van Herreweghe M, et al. Machine translation from signed to spoken languages: state of the art and
                   challenges. Univ Access Inf Soc. 2024;23:1305-31.  DOI
               21.      Cao H, Tan C, Gao Z, et al. A survey on generative diffusion models. IEEE Trans Knowl Data Eng. 2024;36:2814-30.  DOI
               22.      Bengesi S, El-Sayed H, Sarker MK, Houkpati Y, Irungu J, Oladunni T. Advancements in generative AI: a comprehensive review of
                   GANs, GPT, autoencoders, diffusion model, and transformers. IEEE Access. 2024;12:69812-37.  DOI
               23.      Liu C, Yu H. AI-empowered persuasive video generation: a survey. ACM Comput Surv. 2023;55:1-31.  DOI
               24.      Ning Y, He S, Wu Z, Xing C, Zhang LJ. A review of deep learning based speech synthesis. Appl Sci. 2019;9:4050.  DOI
               25.      ChatGPT. Available: https://chatgpt.com. [Last accessed on 17 Apr 2025].
               26.      Isensee F, Jaeger PF, Kohl SAA, Petersen J, Maier-Hein KH. nnU-Net: a self-configuring method for deep learning-based biomedical
                   image segmentation. Nat Methods. 2021;18:203-11.  DOI  PubMed
               27.      Abadi M, Agarwal A, Barham P, et al. TensorFlow: large-scale machine learning on heterogeneous distributed systems. arXiv 2016,
   17   18   19   20   21   22   23   24   25   26   27