This paper is in the following e-collection/theme issue:

Artificial Intelligence (1186) Innovations and Technology in Cancer Care (400) Clinical Informatics (904) Clinical Cancer Research (71) Imaging Informatics (181) Gastroenterology and Hepatology (51) Cancer Prognosis Models and Machine Learning (9) Methods in Cancer Research (24)

Published on in Vol 24, No 5 (2022): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27694, first published .
The Accuracy of Artificial Intelligence in the Endoscopic Diagnosis of Early Gastric Cancer: Pooled Analysis Study

The Accuracy of Artificial Intelligence in the Endoscopic Diagnosis of Early Gastric Cancer: Pooled Analysis Study

The Accuracy of Artificial Intelligence in the Endoscopic Diagnosis of Early Gastric Cancer: Pooled Analysis Study

Authors of this article:

Pei-Chin Chen1, 2 Author Orcid Image ;   Yun-Ru Lu2, 3 Author Orcid Image ;   Yi-No Kang4, 5, 6, 7 Author Orcid Image ;   Chun-Chao Chang8 Author Orcid Image
Article Authors Cited by (13) Tweetations (6) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.