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Artificial intelligence in detection of small bowel lesions and their bleeding risk:A new step forward
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作者 Silvia Cocca giuseppina pontillo +1 位作者 Giuseppe Grande Rita Conigliaro 《World Journal of Gastroenterology》 SCIE CAS 2024年第18期2482-2484,共3页
The present letter to the editor is related to the study with the title“Automatic detection of small bowel(SB)lesions with different bleeding risk based on deep learning models”.Capsule endoscopy(CE)is the main tool... The present letter to the editor is related to the study with the title“Automatic detection of small bowel(SB)lesions with different bleeding risk based on deep learning models”.Capsule endoscopy(CE)is the main tool to assess SB diseases but it is a time-consuming procedure with a significant error rate.The development of artificial intelligence(AI)in CE could simplify physicians’tasks.The novel deep learning model by Zhang et al seems to be able to identify various SB lesions and their bleeding risk,and it could pave the way to next perspective studies to better enhance the diagnostic support of AI in the detection of different types of SB lesions in clinical practice. 展开更多
关键词 Capsule endoscopy Small bowel Artificial intelligence Bleeding risk Vascular lesions
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