Enhanced endoscopic techniques for gastrointestinal tumor resection using augmented reality and AI
Background This study examines an improved tumor removal approach. Endoscopic tumor localization and resection may be imprecise, jeopardizing surgical outcomes and patient safety. Existing methods may induce incomplete resections or tissue harm due to tumor boundary visibility issues. Without real-time help, surgeons struggle to adapt to dynamic intraoperative changes, increasing complications. Methods The Augmented Reality-based Gastrointestinal Tumor Resection (AR-GTR) approach uses Augmented Reality (AR) with artificial intelligence (AI) to improve endoscopic surgery accuracy and efficacy. AR-GTR projects three-dimensional tumor pictures into the surgeon’s field of vision, enhancing tumor location and resection accuracy. The technology improves surgical methods and provides real-time prediction insights using AI-driven intraoperative data analysis. Results AR and AI provide more accurate tumor removal, faster surgical, and fewer problems. Initial AR-GTR assessments show that it may improve resection accuracy and patient safety increasing surgical results. AR and AI in endoscopic procedures promise to enhance gastrointestinal tumors therapy.
Authors
- Weiming Weng
- Jiajun Lai (ORCID: https://orcid.org/0000-0003-0639-0620)
- Xiaofeng Wang (ORCID: https://orcid.org/0000-0001-7611-4491)
- Guoxiong Zhang (ORCID: https://orcid.org/0009-0009-8978-8175)
- Yiyan Tan
- Yinghui Fu
Institutions
- Sun Yat-sen University (CN)
- Shantou University (CN)
- Yue Bei People's Hospital (CN)
- The First Affiliated Hospital, Sun Yat-sen University (CN)
Publication Details
- Journal
- PeerJ Computer Science
- Published
- 2026-07-02
- DOI
- https://doi.org/10.7717/peerj-cs.3734
- Primary Topic
- Augmented Reality Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00