Corrigendum: Current Evidence and Future Perspective of Accuracy of Artificial Intelligence Application for Early Gastric Cancer Diagnosis With Endoscopy: A Systematic and Meta-Analysis

Affiliations

¹ First College of Clinic Medicine, Guangzhou University of Chinese Medicine, Guangzhou, China.
² Department of Spleen-Stomach and Liver Diseases, Traditional Chinese Medicine Hospital of Hainan Affiliated to Guangzhou University of Chinese Medicine, Haikou, China.
³ Department of Gastroenterology, First Affiliation Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China.

Published Erratum

Kailin Jiang et al. Front Med (Lausanne). 2021.

. 2021 May 14:8:698483.

doi: 10.3389/fmed.2021.698483. eCollection 2021.

¹ First College of Clinic Medicine, Guangzhou University of Chinese Medicine, Guangzhou, China.
² Department of Spleen-Stomach and Liver Diseases, Traditional Chinese Medicine Hospital of Hainan Affiliated to Guangzhou University of Chinese Medicine, Haikou, China.
³ Department of Gastroenterology, First Affiliation Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China.

Abstract

[This corrects the article DOI: 10.3389/fmed.2021.629080.].

Keywords: artificial intelligence; deep learning; early gastric cancer; endoscopy; machine learning.

Current Evidence and Future Perspective of Accuracy of Artificial Intelligence Application for Early Gastric Cancer Diagnosis With Endoscopy: A Systematic and Meta-Analysis.
Jiang K, Jiang X, Pan J, Wen Y, Huang Y, Weng S, Lan S, Nie K, Zheng Z, Ji S, Liu P, Li P, Liu F. Jiang K, et al. Front Med (Lausanne). 2021 Mar 15;8:629080. doi: 10.3389/fmed.2021.629080. eCollection 2021. Front Med (Lausanne). 2021. PMID: 33791323 Free PMC article.