Spots Global Cancer Trial Database for Automatic Diagnosis of Early Esophageal Squamous Neoplasia Using pCLE With AI
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Trial Identification
Brief Title: Automatic Diagnosis of Early Esophageal Squamous Neoplasia Using pCLE With AI
Official Title: Automatic Diagnosis of Early Esophageal Squamous Neoplasia Using Probe-based Confocal Laser Endomicroscopy With Artificial Intelligence
Study ID: NCT04136236
Study Description
Brief Summary: Detection and differentiation of esophageal squamous neoplasia (ESN) are of value in improving patient outcomes. Probe-based confocal laser endomicroscopy (pCLE) can diagnose ESN accurately.However this requires much experience, which limits the application of pCLE. The investigators designed a computer-aided diagnosis program using deep neural network to make diagnosis automatically in pCLE examination and contrast its performance with endoscopists.
Detailed Description:
Keywords
Eligibility
Minimum Age: 18 Years
Eligible Ages: ADULT, OLDER_ADULT
Sex: ALL
Healthy Volunteers: No
Locations
Qilu Hospital, Shandong University, Jinan, Shandong, China
Contact Details
Name: Yanqing Li
Affiliation: Qilu Hospital, Shandong University
Role: PRINCIPAL_INVESTIGATOR
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