An artificial intelligence model utilizing endoscopic ultrasonography for differentiating small and micro gastric stromal tumors from gastric leiomyomas
The EUS-AI model utilizing ResNet50 architecture effectively discriminates between micro GSTs and GLs from both image-centric and tumor-centric perspectives. Demonstrating superior diagnostic efficiency compared to clinical models and assessments by endoscopists, the EUS-AI model serves as a valuable tool for clinicians in precisely distinguishing small and micro GSTs from GLs before surgery.
Authors
- Lijuan Wei (ORCID: https://orcid.org/0000-0001-6405-0240)
- Xiangyi Song
- Xin Chen (ORCID: https://orcid.org/0000-0003-3668-4830)
- Min Liu (ORCID: https://orcid.org/0009-0000-7793-2496)
- Liwei Duan (ORCID: https://orcid.org/0000-0003-1237-2015)
- Ruifeng Duan
Institutions
- Second Affiliated Hospital of Jilin University (CN)
Publication Details
- Journal
- BMC Gastroenterology
- Published
- 2025-04-09
- DOI
- https://doi.org/10.1186/s12876-025-03825-y
- Citations
- 6
- Primary Topic
- Gastrointestinal Tumor Research and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 10.87
Funders
- Natural Science Foundation of Jilin Province
- People's Government of Jilin Province