Journal of South Asian Federation of Obstetrics and Gynaecology

Register      Login

VOLUME 13 , ISSUE 5 ( September-October, 2021 ) > List of Articles

COMMENTARY

Potential Applications of Augmented Reality in Gynecological Surgery

Gaurav S Desai, Niranjan M Mayadeo

Keywords : Artificial intelligence, Augmented reality, Gynecologic surgery

Citation Information : Desai GS, Mayadeo NM. Potential Applications of Augmented Reality in Gynecological Surgery. J South Asian Feder Obs Gynae 2021; 13 (5):349-350.

DOI: 10.5005/jp-journals-10006-1957

License: CC BY-NC 4.0

Published Online: 22-12-2021

Copyright Statement:  Copyright © 2021; The Author(s).


Abstract

Background: Augmented reality use has been attempted in other specialties and has the potential to impact gynecological surgery. Objective: To make the readers aware of the use of augmented reality and its use in gynecological surgery. Materials and methods: A comprehensive review of the literature was undertaken to compile instances wherein augmented reality was used in the surgical specialties. Conclusion: Augmented reality has the potential to make gynecological surgery safer and change the way it is taught and practiced around the world. Its success will depend on the partnership between surgeons and technology scientists.


HTML PDF Share
  1. Desai T, Kumari U, Vaidyanathan S. Suraksh—intrapartum monitoring application: In the era of distancing and digitalization. Journal of South Asian Federation of Obstetrics and Gynaecology 2020;12(5):271–276. DOI: 10.5005/jp-journals-10006-1816.
  2. Dalal RJ, Gupta S, Mishra AP. Artificial intelligence in assisted reproductive technology: present and future. Int J Infertil Fetal Med 2020;11(3):61–64. DOI: 10.5005/jp-journals-10016-1208.
  3. Kitaguchi D, Takeshita N, Matsuzaki H, et al. Automated laparoscopic colorectal surgery workflow recognition using artificial intelligence: experimental research. Int J Surg 2020;79:88–94. DOI: 10.1016/j.ijsu.2020.05.015.
  4. Hashimoto DA, Rosman G, Witkowski ER, et al. Computer vision analysis of intraoperative video: automated recognition of operative steps in laparoscopic sleeve gastrectomy. Ann Surg 2019;270(3):414–421. DOI: 10.1097/SLA.0000000000003460.
  5. Madani A, Namazi B, Altieri MS, et al. Artificial intelligence for intraoperative guidance: using semantic segmentation to identify surgical anatomy during laparoscopic cholecystectomy. Ann Surg 2020. DOI: 10.1097/SLA.0000000000004594.
  6. Mascagni P, Vardazaryan A, Alapatt D, et al. Artificial intelligence for surgical safety: automatic assessment of the critical view of safety in laparoscopic cholecystectomy using deep learning. Ann Surg 2020. DOI: 10.1097/SLA.0000000000004351.
  7. Hassan C, Wallace MB, Sharma P, et al. New artificial intelligence system: first validation study versus experienced endoscopists for colorectal polyp detection. Gut 2020;69(5):799–800. DOI: 10.1136/gutjnl-2019-319914.
  8. Sinagra E, Badalamenti M, Maida M, et al. Use of artificial intelligence in improving adenoma detection rate during colonoscopy: might both endoscopists and pathologists be further helped. World J Gastroenterol 2020;26(39):5911–5918. DOI: 10.3748/wjg.v26.i39.5911.
  9. Esteva A, Kuprel B, Novoa RA, et al. Dermatologist-level classification of skin cancer with deep neural networks. Nature 2017;542(7639): 115–118. DOI: 10.1038/nature21056.
  10. Bourdel N, Collins T, Pizarro D, et al. Use of augmented reality in laparoscopic gynecology to visualize myomas. Fertil Steril 2017;107(3):737–739. DOI: 10.1016/j.fertnstert.2016.12.016.
PDF Share
PDF Share

© Jaypee Brothers Medical Publishers (P) LTD.