2021
DOI: 10.1155/2021/2773022
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Utilization of Ultrasonic Image Characteristics Combined with Endoscopic Detection on the Basis of Artificial Intelligence Algorithm in Diagnosis of Early Upper Gastrointestinal Cancer

Abstract: The aim of this study was to evaluate the diagnostic value of artificial intelligence algorithm combined with ultrasound endoscopy in early esophageal cancer and precancerous lesions by comparing the examination of conventional endoscopy and artificial intelligence algorithm combined with ultrasound endoscopy, and by comparing the real-time diagnosis of endoscopy and the ultrasonic image characteristics of artificial intelligence algorithm combined with endoscopic detection and pathological results. 120 cases … Show more

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Cited by 13 publications
(19 citation statements)
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“…The results of this study show that the AUC of the diagnostic ultrasound group for the diagnosis of shock type is 0.854, which is of high diagnostic value, which is basically consistent with the conclusions of previous studies. The same idea can be found in the study put forward by Wang et al [30]. They have applied new methods in the study, and the conclusions drawn can also give some support to this study.…”
Section: Discussionsupporting
confidence: 77%
“…The results of this study show that the AUC of the diagnostic ultrasound group for the diagnosis of shock type is 0.854, which is of high diagnostic value, which is basically consistent with the conclusions of previous studies. The same idea can be found in the study put forward by Wang et al [30]. They have applied new methods in the study, and the conclusions drawn can also give some support to this study.…”
Section: Discussionsupporting
confidence: 77%
“…For surgeon B, no significant differences across different segmental arteries were detected (p = 0.083). The accuracies of LA 1+2 , LA 4 , LA 5 , and LA 6 were less than 50%.…”
Section: Error Analysis Of Artificial Intelligence and Human Recognitionmentioning
confidence: 87%
“…For surgeon A, a significant difference across different segmental arteries was detected (p = 0.033), among which RA 1 and RA 4+5 showed higher accuracy and LA 1+2 showed significant lower accuracy. The accuracies of RA 2 , RA 6 , LA 4 , LA 5 , and LA 6 were also below 50%. For surgeon B, no significant differences across different segmental arteries were detected (p = 0.083).…”
Section: Error Analysis Of Artificial Intelligence and Human Recognitionmentioning
confidence: 91%
See 1 more Smart Citation
“…The representative DL technique, namely convolutional neural networks (CNNs) exhibit remarkable capability in feature extraction and thus has been widely employed for image classification (3)(4)(5). Over the past few years, a variety of DLbased medical applications have been reported, such as the assisted diagnosis of digestive tract tumors with pathology, MRI, and ultrasound images (6)(7)(8)(9), the diagnosis of dysphagia with photographs of the anterior neck (10), and the precise location and identification of cells in microscopic images (11). In the dermatology field, DL uses trunk or longitudinal skin stratification images of patients' lesions to diagnose skin tumors, atopic dermatitis, psoriasis, and fungal infections (12)(13)(14)(15).…”
Section: Introductionmentioning
confidence: 99%