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首页> 中文期刊> 《胃肠道内窥镜检查中的人工智能（英文）》 >Artificial intelligence as a means to improve recognition of gastrointestinal angiodysplasia in video capsule endoscopy

Artificial intelligence as a means to improve recognition of gastrointestinal angiodysplasia in video capsule endoscopy

         
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Gastrointestinal angiodysplasia(GIAD)is defined as the pathological process where blood vessels,typically venules and capillaries,become engorged,tortuous and thin walled–which then form arteriovenous connections within the mucosal and submucosal layers of the gastrointestinal tract.GIADs are a significant cause of gastrointestinal bleeding and are the main cause for suspected small bowel bleeding.To make the diagnosis,gastroenterologists rely on the use of video capsule endoscopy(VCE)to“target”GIAD.However,the use of VCE can be cumbersome secondary to reader fatigue,suboptimal preparation,and difficulty in distinguishing images.The human eye is imperfect.The same capsule study read by two different readers are noted to have miss rates like other forms of endoscopy.Artificial intelligence(AI)has been a means to bridge the gap between human imperfection and recognition of GIAD.The use of AI in VCE have shown that detection has improved,however the other burdens and limitations still need to be addressed.The use of AI for the diagnosis of GIAD shows promise and the changes needed to enhance the current practice of VCE are near.

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