Artificial Intelligence‐assisted Endoscopy and Examiner Confidence: A Study on Human–Artificial Intelligence Interaction in Barrett's Esophagus (With Video)
Our findings highlight the pivotal function of examiner behavior in AI-assisted endoscopy. To fully realize the benefits of AI, implementing explainable AI, improving user interfaces, and providing targeted training are essential. Addressing these factors could enhance diagnostic accuracy and confidence in clinical practice.
Authors
- Christoph Römmele (ORCID: https://orcid.org/0000-0002-8745-8510)
- Anna Muzalyova (ORCID: https://orcid.org/0000-0003-4441-8006)
- Andreas Probst (ORCID: https://orcid.org/0000-0002-1486-9298)
- Christoph Palm (ORCID: https://orcid.org/0000-0001-9468-2871)
- Markus W. Scheppach (ORCID: https://orcid.org/0000-0002-2255-7032)
- Robert Mendel (ORCID: https://orcid.org/0000-0001-8451-1374)
- Alanna Ebigbo (ORCID: https://orcid.org/0000-0001-7765-035X)
- Sandra Nagl
- Nasim Parsa (ORCID: https://orcid.org/0000-0003-3882-266X)
- M. Meinikheim (ORCID: https://orcid.org/0000-0002-1452-3342)
- Elisabeth Schnoy (ORCID: https://orcid.org/0009-0005-7987-9517)
- Michael F. Byrne
- D Röser
- H Messmann
Institutions
- OTH Regensburg (DE)
- Mayo Clinic (US)
- University Hospital Augsburg (DE)
- Vancouver General Hospital (CA)
- Mayo Clinic in Arizona (US)
- St. Josef-Hospital (DE)
Publication Details
- Journal
- DEN Open
- Published
- 2025-06-19
- DOI
- https://doi.org/10.1002/deo2.70150
- Citations
- 5
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 7.59