In this letter,we comment on a recent article published in the World Journal of Gastroenterology by Xiao et al,where the authors aimed to use a deep learning model to automatically detect gastrointestinal lesions duri...In this letter,we comment on a recent article published in the World Journal of Gastroenterology by Xiao et al,where the authors aimed to use a deep learning model to automatically detect gastrointestinal lesions during capsule endoscopy(CE).CE was first presented in 2000 and was approved by the Food and Drug Administration in 2001.The indications of CE overlap with those of regular diagnostic endoscopy.However,in clinical practice,CE is usually used to detect lesions in areas inaccessible to standard endoscopies or in cases of bleeding that might be missed during conventional endoscopy.Since the emergence of CE,many physiological and technical challenges have been faced and addressed.In this letter,we summarize the current challenges and briefly mention the proposed methods to overcome these challenges to answer a central question:Do we still need CE?展开更多
文摘In this letter,we comment on a recent article published in the World Journal of Gastroenterology by Xiao et al,where the authors aimed to use a deep learning model to automatically detect gastrointestinal lesions during capsule endoscopy(CE).CE was first presented in 2000 and was approved by the Food and Drug Administration in 2001.The indications of CE overlap with those of regular diagnostic endoscopy.However,in clinical practice,CE is usually used to detect lesions in areas inaccessible to standard endoscopies or in cases of bleeding that might be missed during conventional endoscopy.Since the emergence of CE,many physiological and technical challenges have been faced and addressed.In this letter,we summarize the current challenges and briefly mention the proposed methods to overcome these challenges to answer a central question:Do we still need CE?
