scholarly journals Current status and future perspective of artificial intelligence applications in endoscopic diagnosis and management of gastric cancer

2020 ◽  
Author(s):  
Toshiaki Hirasawa ◽  
Yohei Ikenoyama ◽  
Mitsuaki Ishioka ◽  
Ken Namikawa ◽  
Yusuke Horiuchi ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Gastric Cancer ◽  
Endoscopic Diagnosis ◽  
Current Status ◽  
Future Perspective ◽  
Diagnosis And Management

scholarly journals Endoscopic screening for gastric cancer in Japan: Current status and future perspective

2021 ◽  
Author(s):  
Katsuhiro Mabe ◽  
Kazuhiko Inoue ◽  
Tomoari Kamada ◽  
Katsuaki Kato ◽  
Mototsugu Kato ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Current Status ◽  
Future Perspective ◽  
Endoscopic Screening

scholarly journals Application of Artificial Intelligence in Early Gastric Cancer Diagnosis

Digestion ◽  
2021 ◽  
pp. 1-7
Author(s):  
Zili Xiao ◽  
Danian Ji ◽  
Feng Li ◽  
Zhengliang Li ◽  
Zhijun Bao
Keyword(s):  
Artificial Intelligence ◽  
Gastric Cancer ◽  
New Technologies ◽  
Narrow Band Imaging ◽  
Daily Practice ◽  
Colorectal Polyps ◽  
Current Status ◽  
Randomized Controlled ◽  
Depth Prediction ◽  
Substantial Effort

<b><i>Background:</i></b> With the development of new technologies such as magnifying endoscopy with narrow band imaging, endoscopists achieved better accuracy for diagnosis of gastric cancer (GC) in various aspects. However, to master such skill takes substantial effort and could be difficult for inexperienced doctors. Therefore, a novel diagnostic method based on artificial intelligence (AI) was developed and its effectiveness was confirmed in many studies. AI system using convolutional neural network has showed marvelous results in the ongoing trials of computer-aided detection of colorectal polyps. <b><i>Summary:</i></b> With AI’s efficient computational power and learning capacities, endoscopists could improve their diagnostic accuracy and avoid the overlooking or over-diagnosis of gastric neoplasm. Several systems have been reported to achieved decent accuracy. Thus, AI-assisted endoscopy showed great potential on more accurate and sensitive ways for early detection, differentiation, and invasion depth prediction of gastric lesions. However, the feasibility, effectiveness, and safety in daily practice remain to be tested. <b><i>Key messages:</i></b> This review summarizes the current status of different AI applications in early GC diagnosis. More randomized controlled trails will be needed before AI could be widely put into clinical practice.

scholarly journals Endoscopic Diagnosis of Gastric Cancer Utilizing Artificial Intelligence (AI)

2021 ◽  
Author(s):  
Toshiaki Hirasawa ◽  
Yohei Ikenoyama ◽  
Mitsuaki Ishioka ◽  
Ken Namikawa ◽  
Yusuke Horiuchi ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Gastric Cancer ◽  
Endoscopic Diagnosis

scholarly journals Current status and future perspective of perioperative chemotherapy for localized gastric cancer

2016 ◽  
Vol 27 ◽  
pp. vii12
Author(s):  
Kensei Yamaguchi ◽  
Keisho Chin ◽  
Daisuke Takahari ◽  
Takashi Ichimura
Keyword(s):  
Gastric Cancer ◽  
Current Status ◽  
Future Perspective ◽  
Perioperative Chemotherapy

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

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 Current Status and Future Perspective of Artificial Intelligence in the Management of Peptic Ulcer Bleeding: A Review of Recent Literature

2021 ◽  
Vol 10 (16) ◽  
pp. 3527
Author(s):  
Hsu-Heng Yen ◽  
Ping-Yu Wu ◽  
Mei-Fen Chen ◽  
Wen-Chen Lin ◽  
Cheng-Lun Tsai ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Peptic Ulcer ◽  
Human Performance ◽  
Relevant Literature ◽  
Current Status ◽  
Future Perspective ◽  
Initial Assessment ◽  
Ulcer Bleeding ◽  
Peptic Ulcer Bleeding ◽  
Polyp Detection

With the decreasing incidence of peptic ulcer bleeding (PUB) over the past two decades, the clinician experience of managing patients with PUB has also declined, especially for young endoscopists. A patient with PUB management requires collaborative care involving the emergency department, gastroenterologist, radiologist, and surgeon, from initial assessment to hospital discharge. The application of artificial intelligence (AI) methods has remarkably improved people’s lives. In particular, AI systems have shown great potential in many areas of gastroenterology to increase human performance. Colonoscopy polyp detection or diagnosis by an AI system was recently introduced for commercial use to improve endoscopist performance. Although PUB is a longstanding health problem, these newly introduced AI technologies may soon impact endoscopists’ clinical practice by improving the quality of care for these patients. To update the current status of AI application in PUB, we reviewed recent relevant literature and provided future perspectives that are required to integrate such AI tools into real-world practice.

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