scholarly journals Artificial intelligence and upper gastrointestinal endoscopy: Current status and future perspective

2019 ◽  
Vol 31 (4) ◽  
pp. 378-388 ◽  
Author(s):  
Yuichi Mori ◽  
Shin‐ei Kudo ◽  
Hussein E. N. Mohmed ◽  
Masashi Misawa ◽  
Noriyuki Ogata ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Gastrointestinal Endoscopy ◽  
Current Status ◽  
Future Perspective ◽  
Upper Gastrointestinal Endoscopy ◽  
Upper Gastrointestinal

scholarly journals Artificial Intelligence in Lower Gastrointestinal Endoscopy: The Current Status and Future Perspective

2021 ◽  
Author(s):  
Sebastian Manuel Milluzzo ◽  
Paola Cesaro ◽  
Leonardo Minelli Grazioli ◽  
Nicola Olivari ◽  
Cristiano Spada
Keyword(s):  
Artificial Intelligence ◽  
Gastrointestinal Endoscopy ◽  
Current Status ◽  
Future Perspective

Artificial intelligence versus expert endoscopists for diagnosis of gastric cancer in patients who underwent upper gastrointestinal endoscopy

Endoscopy ◽  
2021 ◽  
Author(s):  
Ryota Niikura ◽  
Tomonori Aoki ◽  
Satoki Shichijo ◽  
Atsuo Yamada ◽  
Takuya Kawahara ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Gastric Cancer ◽  
Confidence Interval ◽  
Cancer Diagnosis ◽  
Gastrointestinal Endoscopy ◽  
Upper Gastrointestinal Endoscopy ◽  
Retrospective Data ◽  
Diagnosis Rate ◽  
Upper Gastrointestinal

Introduction and aims: To compare endoscopy gastric cancer images diagnosis rate between artificial intelligence (AI) and expert endoscopists. Patients and methods: We used the retrospective data of 500 patients, including 100 with gastric cancer, matched 1:1 to diagnosis by AI or expert endoscopists. We retrospectively evaluated the non-inferiority (prespecified margin 5%) of the per-patient rate of gastric cancer diagnosis by AI and compared the per-image rate of gastric cancer diagnosis. Results: Gastric cancer was diagnosed in 49 of 49 patients (100%) in the AI group and 48 of 51 patients (94.12%) in the expert endoscopist group (difference 5.88, 95% confidence interval: −0.58 to 12.3). The per-image rate of gastric cancer diagnosis was higher in the AI group (99.87%, 747/748 images) than in the expert endoscopist group (88.17%, 693/786 images) (difference 11.7%). Conclusions: Non inferiority of the rate of gastric cancer diagnosis by AI was demonstrated but superiority is not demonstrated.

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