Page 115 - Read Online
P. 115

Page 157                                                              Shen et al. Art Int Surg. 2025;5:150-9  https://dx.doi.org/10.20517/ais.2024.71

               Ethical approval and consent to participate
               Not applicable.


               Consent for publication
               Not applicable.

               Copyright
               © The Author(s) 2025.


               REFERENCES
               1.       Roy N, Downes MH, Ibelli T, et al. The psychological impacts of post-mastectomy breast reconstruction: a systematic review. Ann
                   Breast Surg. 2024;8:19-19.  DOI  PubMed  PMC
               2.       Mavioso C, Araújo RJ, Oliveira HP, et al. Automatic detection of perforators for microsurgical reconstruction. Breast. 2020;50:19-24.
                   DOI  PubMed  PMC
               3.       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.  DOI  PubMed  PMC
               4.       O'Neill AC, Yang D, Roy M, Sebastiampillai S, Hofer SOP, Xu W. Development and evaluation of a machine learning prediction
                   model for flap failure in microvascular breast reconstruction. Ann Surg Oncol. 2020;27:3466-75.  DOI  PubMed
               5.       Chen W, Lu Z, You L, Zhou L, Xu J, Chen K. Artificial intelligence-based multimodal risk assessment model for surgical site
                   infection (AMRAMS): development and validation study. JMIR Med Inform. 2020;8:e18186.  DOI
               6.       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.  DOI  PubMed  PMC
               7.       La Padula S, Pensato R, D'Andrea F, et al. Assessment of patient satisfaction using a new augmented reality simulation software for
                   breast augmentation: a prospective study. J Clin Med. 2022;11:3464.  DOI  PubMed  PMC
               8.       Hammond DC, Kim K, Bageris MH, Chaudhry A. Use of three-dimensional imaging to assess the effectiveness of volume as a critical
                   variable in breast implant selection. Plast Reconstr Surg. 2022;149:70-9.  DOI  PubMed
               9.       Kwong JW, Tijerina JD, Choi S, et al. Assessing the accuracy of a 3-dimensional surface imaging system in breast volume estimation.
                   Ann Plast Surg. 2020;84:S311-7.  DOI
               10.      Amini S, Kersten-Oertel M. Augmented reality mastectomy surgical planning prototype using the HoloLens template for healthcare
                   technology letters. Healthc Technol Lett. 2019;6:261-5.  DOI  PubMed  PMC
               11.      Stern CS, Plotsker EL, Rubenstein R, et al. Three-dimensional surface analysis for preoperative prediction of breast volume: a
                   validation study. Plast Reconstr Surg. 2023;152:1153-62.  DOI  PubMed  PMC
               12.      Vles MD, Terng NCO, Zijlstra K, Mureau MAM, Corten EML. Virtual and augmented reality for preoperative planning in plastic
                   surgical procedures: a systematic review. J Plast Reconstr Aesthet Surg. 2020;73:1951-9.  DOI  PubMed
               13.      Shafarenko MS, Catapano J, Hofer SOP, Murphy BD. The role of augmented reality in the next phase of surgical education. Plast
                   Reconstr Surg Glob Open. 2022;10:e4656.  DOI  PubMed  PMC
               14.      Sacks JM, Nguyen AT, Broyles JM, Yu P, Valerio IL, Baumann DP. Near-infrared laser-assisted indocyanine green imaging for
                   optimizing the design of the anterolateral thigh flap. Eplasty. 2012;12:e30.  PubMed  PMC
               15.      Singaravelu A, Dalli J, Potter S, Cahill RA. Artificial intelligence for optimum tissue excision with indocyanine green fluorescence
                   angiography for flap reconstructions: proof of concept. JPRAS Open. 2024;41:389-93.  DOI  PubMed  PMC
               16.      DeFazio MV, Arribas EM, Ahmad FI, et al. Application of three-dimensional printed vascular modeling as a perioperative guide to
                   perforator mapping and pedicle dissection during abdominal flap harvest for breast reconstruction. J Reconstr Microsurg.
                   2020;36:325-38.  DOI
               17.      Meier EL, Ulrich DJO, Hummelink S. Projected augmented reality in DIEP flap breast reconstruction: projecting perforators on the
                   skin using dynamic infrared thermography. J Plast Reconstr Aesthet Surg. 2024;94:83-90.  DOI  PubMed
               18.      Pinto-Coelho L. How artificial intelligence is shaping medical imaging technology: a survey of innovations and applications.
                   Bioengineering. 2023;10:1435.  DOI  PubMed  PMC
               19.      De La Hoz EC, Verstockt J, Verspeek S, et al. Automated thermographic detection of blood vessels for DIEP flap reconstructive
                   surgery. Int J Comput Assist Radiol Surg. 2024;19:1733-41.  DOI
               20.      Saxena E. Deep learning for personalized preoperative planning of microsurgical free tissue transfers. In: Sycara K, Honavar V, Spaan
                   M, editors. Proceedings of the 36th AAAI Conference on Artificial Intelligence; 2022 Feb 22-Mar 1; Vancouver, Canada. AAAI Press;
                   2022. p. 13140-1.  DOI
               21.      AI-enabled segmentation | materialise mimics. Available from: https://www.materialise.com/en/healthcare/mimics-innovation-suite/ai-
                   enabled-segmentation. [Last accessed on 30 Dec 2024].
               22.      Seth I, Lindhardt J, Jakobsen A, et al. Improving visualization of intramuscular perforator course: augmented reality headsets for DIEP
                   flap breast reconstruction. Plast Reconstr Surg Glob Open. 2023;11:e5282.  DOI  PubMed  PMC
   110   111   112   113   114   115   116   117   118   119   120