Combination of artificial intelligence endoscopic diagnosis and Kimura‐Takemoto classification determined by endoscopic experts may effectively evaluate the stratification of gastric atrophy in post‐eradication status
Abstract Background Since it is difficult for expert endoscopists to diagnose early gastric cancer in post‐eradication status, it may be critical to evaluate the stratification of high‐risk groups using the advance of gastric atrophy or intestinal metaplasia. We tried to determine whether the combin...
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| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-04-01
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| Series: | DEN Open |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/deo2.70029 |
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