Use of artificial intelligence in submucosal vessel detection during third-space endoscopy
While artificial intelligence (AI) shows high potential in decision support for diagnostic gastrointestinal endoscopy, its role in therapeutic endoscopy remains unclear. Third-space endoscopic procedures pose the risk of intraprocedural bleeding. Therefore, we aimed to develop an AI algorithm for intraprocedural blood vessel detection.Using a test dataset of 101 standardized video clips containing 200 predefined submucosal blood vessels, 19 endoscopists were evaluated for vessel detection rate (VDR) and time (VDT) with and without support of an AI algorithm. Endoscopists were grouped according to experience in endoscopic submucosal dissection.With AI support, endoscopist VDR increased from 56.4% (95%CI CI 54.1-58.6) to 72.4% (95%CI CI 70.3-74.4). Endoscopist VDT dropped from 6.7 seconds (95%CI 6.2-7.1) to 5.2 seconds (95%CI 4.8-5.7). False-positive readings appeared in 4.5% of frames and were marked for a significantly shorter time than true positives (0.7 seconds [95%CI 0.55-0.87] vs. 6.0 seconds [95%CI 5.28-6.70]).AI improved the VDR and VDT of endoscopists during third-space endoscopy. While these data need to be corroborated by clinical trials, AI may prove to be an invaluable tool for improving safety and speed of endoscopic interventions.
Authors
- Christoph Römmele (ORCID: https://orcid.org/0000-0002-8745-8510)
- Anna Muzalyova (ORCID: https://orcid.org/0000-0003-4441-8006)
- Konstantinos Kouladouros (ORCID: https://orcid.org/0000-0001-8294-6673)
- Andreas Probst (ORCID: https://orcid.org/0000-0002-1486-9298)
- Benjamin Walter (ORCID: https://orcid.org/0000-0002-7356-024X)
- Christoph Palm (ORCID: https://orcid.org/0000-0001-9468-2871)
- Markus W. Scheppach (ORCID: https://orcid.org/0000-0002-2255-7032)
- David Rauber (ORCID: https://orcid.org/0009-0006-1782-5035)
- Hon Chi Yip (ORCID: https://orcid.org/0000-0003-1041-9668)
- Robert Mendel (ORCID: https://orcid.org/0000-0001-8451-1374)
- Alanna Ebigbo (ORCID: https://orcid.org/0000-0001-7765-035X)
- Sandra Nagl
- Stefan Gölder (ORCID: https://orcid.org/0000-0003-4507-5770)
- M. Meinikheim (ORCID: https://orcid.org/0000-0002-1452-3342)
- Philip Wai Yan Chiu (ORCID: https://orcid.org/0000-0001-9292-112X)
- Louis Ho Shing Lau (ORCID: https://orcid.org/0000-0002-4163-4531)
- Mohamed Abdelhafez (ORCID: https://orcid.org/0000-0003-0659-6274)
- H Messmann
- Arthur Schmidt
Institutions
- OTH Regensburg (DE)
- Chinese University of Hong Kong (HK)
- Heidelberg University (DE)
- University Hospital Augsburg (DE)
- University Hospital Heidelberg (DE)
- TUM Klinikum (DE)
- Robert Bosch Hospital (DE)
- Ostalb-Klinikum Aalen (DE)
- University Hospital Ulm (DE)
- University Medical Centre Mannheim (DE)
- Charité - Universitätsmedizin Berlin (DE)
Publication Details
- Journal
- Endoscopy
- Published
- 2025-02-05
- DOI
- https://doi.org/10.1055/a-2534-1164
- Citations
- 10
- Primary Topic
- Gastric Cancer Management and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 15.18