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Paper Title

Using Laparoscopic Imaging and AI to Find Endometriosis: Improving Real-Time Surgical Decision-Making and the Role of Operating Room Technologists

Authors

Ankita Dobriyal , Dr.Ritu Negi

Keywords

Endometriosis, artificial intelligence, laparoscopy, machine learning, surgical decision-making, operating room technologists, real-time imaging, computer-assisted surgery, minimally invasive surgery, diagnostic accuracy

Abstract

Abstract Background: Endometriosis affects approximately 10% of women of reproductive age (16, 41), yet diagnosis remains challenging with average delays of 6-12 years (21, 49). Laparoscopic visualization remains the gold standard for definitive diagnosis (3, 13), but accurate identification of endometriotic lesions requires significant expertise and experience (6, 18).

How To Cite

Choose the style your journal or department asks for, then copy it. Every version below is generated from this paper's own record.

IJRTI — journal style
"Using Laparoscopic Imaging and AI to Find Endometriosis: Improving Real-Time Surgical Decision-Making and the Role of Operating Room Technologists", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.10, Issue 8, page no.b377-b387, August-2025, Available :https://ijrti.org/papers/IJRTI2508150.pdf
APA — 7th edition
Dobriyal, A., & Negi, D. R. (2025). Using Laparoscopic Imaging and AI to Find Endometriosis: Improving Real-Time Surgical Decision-Making and the Role of Operating Room Technologists. International Journal for Research Trends and Innovation, 10(8), b377-b387. https://ijrti.org/viewpaperforall.php?paper=IJRTI2508150
MLA — 9th edition
Dobriyal, Ankita, and Dr.Ritu Negi. "Using Laparoscopic Imaging and AI to Find Endometriosis: Improving Real-Time Surgical Decision-Making and the Role of Operating Room Technologists." International Journal for Research Trends and Innovation, vol. 10, no. 8, 2025, pp. b377-b387, https://ijrti.org/viewpaperforall.php?paper=IJRTI2508150.
Chicago — 17th, bibliography
Dobriyal, Ankita, and Dr.Ritu Negi. "Using Laparoscopic Imaging and AI to Find Endometriosis: Improving Real-Time Surgical Decision-Making and the Role of Operating Room Technologists." International Journal for Research Trends and Innovation 10, no. 8 (2025): b377-b387. https://ijrti.org/viewpaperforall.php?paper=IJRTI2508150.
Harvard — author–date
Dobriyal, A. and Negi, D.R. (2025) 'Using Laparoscopic Imaging and AI to Find Endometriosis: Improving Real-Time Surgical Decision-Making and the Role of Operating Room Technologists', International Journal for Research Trends and Innovation, 10(8), pp. b377-b387. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI2508150
IEEE — numbered reference
A. Dobriyal and D. R. Negi, "Using Laparoscopic Imaging and AI to Find Endometriosis: Improving Real-Time Surgical Decision-Making and the Role of Operating Room Technologists," IJRTI, vol. 10, no. 8, pp. b377-b387, Aug. 2025.
Vancouver — biomedical
Dobriyal A, Negi DR. Using Laparoscopic Imaging and AI to Find Endometriosis: Improving Real-Time Surgical Decision-Making and the Role of Operating Room Technologists. IJRTI. 2025 Aug;10(8):b377-b387.
AMA — 11th edition
Dobriyal A, Negi DR. Using Laparoscopic Imaging and AI to Find Endometriosis: Improving Real-Time Surgical Decision-Making and the Role of Operating Room Technologists. IJRTI. 2025;10(8):b377-b387. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI2508150
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI2508150, author = {Ankita Dobriyal and Dr.Ritu Negi}, title = {Using Laparoscopic Imaging and AI to Find Endometriosis: Improving Real-Time Surgical Decision-Making and the Role of Operating Room Technologists}, journal = {International Journal for Research Trends and Innovation}, volume = {10}, number = {8}, pages = {b377-b387}, year = {2025}, month = {August}, issn = {2456-3315}, url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI2508150} }
RIS — EndNote, RefWorks
TY - JOUR AU - Dobriyal, Ankita AU - Negi, Dr.Ritu TI - Using Laparoscopic Imaging and AI to Find Endometriosis: Improving Real-Time Surgical Decision-Making and the Role of Operating Room Technologists T2 - International Journal for Research Trends and Innovation JA - IJRTI VL - 10 IS - 8 PY - 2025 SN - 2456-3315 UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI2508150 SP - b377-b387 ER -

Issue

Volume 10 Issue 8, August-2025
Pages : b377-b387

Other Publication Details

Paper Reg. ID IJRTI_205979
Published Paper ID IJRTI2508150
Downloads 205,636
Research Area Other
Country Dehradun Uttarakhand , Uttarakhand, India
Published August 2025

About Publisher

International Journal for Research Trends and Innovation Published by IJRTI (JW Publication)
2456-3315 ISSN
10.57 Impact Factor
2016 ESTD Year
Open Access
Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 10.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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Licence

© 2025 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
 Disclaimer: The content, data and findings in this article are based on the authors’ research and have been peer-reviewed for academic purposes only. Readers are advised to verify all information before practical or commercial use. The journal and its editorial board are not liable for any errors, losses or consequences arising from its use.

Declarations

Funding

No external funding was received for this study.

Conflict of Interest

The authors declare that they have no conflict of interest.

Acknowledgements

The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.

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