Artificial intelligence assistance narrows the experience gap in endoscopic reporting of gastric lesions: a prospective clinical trial
This study confirms the efficacy of an AI reporting system in documenting gastric focal lesions, highlighting significant improvements in the completeness and accuracy of reports generated by endoscopists.
Authors
- Ting Yang (ORCID: https://orcid.org/0000-0001-8555-9353)
- Li Huang (ORCID: https://orcid.org/0000-0002-8454-9839)
- Jiazhu Li (ORCID: https://orcid.org/0000-0001-5550-2831)
- Jun Liu (ORCID: https://orcid.org/0000-0001-8859-5405)
- Tao Xiao (ORCID: https://orcid.org/0000-0003-4468-2579)
- Honggang Yu (ORCID: https://orcid.org/0000-0001-5986-1284)
- Yanxia Li (ORCID: https://orcid.org/0000-0003-3191-6444)
- Hang You (ORCID: https://orcid.org/0000-0002-2637-4305)
- Zehua Dong (ORCID: https://orcid.org/0000-0002-6384-5567)
- Zhifeng Wu (ORCID: https://orcid.org/0000-0003-2707-6171)
- Mei Deng
- Xia Tan
- Hongliu Du
Institutions
- Wuhan University (CN)
- Wuhan Prevention and Treatment Center for Occupational Diseases (CN)
- Renmin Hospital of Wuhan University (CN)
- Artificial Intelligence in Medicine (Canada) (CA)
Publication Details
- Journal
- Surgical Endoscopy
- Published
- 2025-12-04
- DOI
- https://doi.org/10.1007/s00464-025-12410-z
- Primary Topic
- Colorectal Cancer Screening and Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Wuhan University
- National Key Research and Development Program of China