Deep Learning Algorithm for the Diagnosis of Gastrointestinal Diseases
NCT ID: NCT04222439
Last Updated: 2020-02-18
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
NA
100000 participants
INTERVENTIONAL
2020-01-01
2020-02-29
Brief Summary
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Detailed Description
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Conditions
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Study Design
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NA
SINGLE_GROUP
DIAGNOSTIC
NONE
Study Groups
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AI monitoring gastrointestinal endoscopy
After receiving standard preparation regimen, patients go through colonoscopy or gastroscopy under the AI monitoring device. The whole procedure is monitored by AI associated recognition system. Gastrointestinal diseases will be detect and diagnosis in which the AI device will automatically captured relevant images and report the site of each segment on the screen. Histology analysis is set as a golden standard. Then all the AI captured images will be reviewed by human group, which consists of three to five experienced endoscopic physicians.
AI for the Diagnosis of Gastrointestinal Diseases
After receiving standard preparation regimen, patients go through colonoscopy or gastroscopy under the AI monitoring device. The whole procedure is monitored by AI associated recognition system. Gastrointestinal diseases will be detect and diagnosis in which the AI device will automatically captured relevant images and report the site of each segment on the screen. Histology analysis is set as a golden standard. Then all the AI captured images will be reviewed by human group, which consists of three to five experienced endoscopic physicians.
Interventions
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AI for the Diagnosis of Gastrointestinal Diseases
After receiving standard preparation regimen, patients go through colonoscopy or gastroscopy under the AI monitoring device. The whole procedure is monitored by AI associated recognition system. Gastrointestinal diseases will be detect and diagnosis in which the AI device will automatically captured relevant images and report the site of each segment on the screen. Histology analysis is set as a golden standard. Then all the AI captured images will be reviewed by human group, which consists of three to five experienced endoscopic physicians.
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
18 Years
ALL
Yes
Sponsors
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Shandong University
OTHER
Responsible Party
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Xiuli Zuo
director of Qilu Hospital gastroenterology department
Principal Investigators
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Xiuli Zuo, MD,PhD
Role: PRINCIPAL_INVESTIGATOR
Qilu Hospital of Shandong University
Locations
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Qilu Hospital, Shandong University
Jinan, Shandong, China
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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2019-SDU-QILU-G710
Identifier Type: -
Identifier Source: org_study_id
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