Artificial Intelligence in the Prediction of Gastrointestinal Stromal Tumors on Endoscopic Ultrasonography Images: Development, Validation and Comparison with Endosonographers

Author:

Lu Yi12ORCID,Wu Jiachuan3ORCID,Hu Minhui12ORCID,Zhong Qinghua4ORCID,Er Limian5ORCID,Shi Huihui5ORCID,Cheng Weihui6ORCID,Chen Ke7ORCID,Liu Yuan7ORCID,Qiu Bingfeng8ORCID,Xu Qiancheng8ORCID,Lai Guangshun9ORCID,Wang Yufeng10ORCID,Luo Yuxuan10ORCID,Mu Jinbao10ORCID,Zhang Wenjie11ORCID,Zhi Min212ORCID,Sun Jiachen12ORCID

Affiliation:

1. Department of Gastrointestinal Endoscopy, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China

2. Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China

3. Digestive Endoscopy Center, Guangdong Second Provincial General Hospital, Guangzhou, China

4. Department of Endoscopic Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China

5. Department of Endoscopy, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China

6. Department of Gastroenterology, Yangjiang Hospital of Traditional Chinese Medicine, Yangjiang, China

7. Department of Endoscopy, Fudan University Shanghai Cancer Center, Shanghai, China

8. Department of Gastroenterology, Zhoushan Hospital of Zhejiang Province, Zhoushan, China

9. Department of Gastroenterology, Lianjiang People’s Hospital, Lianjiang, China

10. Tianjin Economic-Technological Development Area (TEDA) Yujin Digestive Health Industry Research Institute, Tianjin, China

11. Tianjin Center for Medical Devices Evaluation and Inspection, Tianjin, China

12. Department of Gastroenterology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China

Funder

Sun Yat-sen University

Sixth Affiliated Hospital of Sun Yat-sen University

Publisher

The Editorial Office of Gut and Liver

Subject

Gastroenterology,Hepatology

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