Application of Artificial Intelligence for Early Diagnosis of Esophageal Squamous Cell Carcinoma During Optical Enhancement Magnifying Endoscopy
Sponsor study identifier
observational
119
1 country
1
Study Start
December 1, 2018
Actual (reported)Primary Completion
March 1, 2020
Actual (reported)Study Completion
April 1, 2020
Actual (reported)Esophageal squamous cell carcinoma is one of the most common malignant tumor of upper digestive tract. However, the detection rate and diagnosis accuracy of early esophageal squamous cell cancer is low. The aim of this study is to develop a computer-assisted diagnosis tool combining with optical magnifying endoscopy for early detection and accurate diagnosis of it.
Registry-reported information. Elapsed time and enrollment totals alone do not measure study progress or recruitment pace.
April 1, 2020
Actual (reported)Click on a node to explore related trials.
Some registry-reported names shown below are not yet linked in this graph.
Dates and qualifiers reported by the registry. Estimated dates do not confirm that a milestone has occurred.
November 28, 2018
Actual (reported)November 30, 2018
Actual (reported)December 1, 2018
Actual (reported)March 1, 2020
Actual (reported)April 1, 2020
Actual (reported)the diagnosis efficiency of the AI model
the sensitivity, specificity and accuracy of the AI model
12 months
the endoscopic novices analyzing the images can see the automatic diagnosis of AI during the process
the endoscopic novice analyzing the images can not see the automatic diagnosis of AI during the process
AI presentation means the automatic diagnosis information of AI and AI presentation means it is visible in the group.
AI presentation means the automatic diagnosis information of AI and no AI presentation means it is invisible in the group.
Consecutive patients who came to Qilu Hospital of Shandong University and received optical magnifying OE endoscopy examination
Department of Gastroenterology, Qilu Hospital, Shandong University
Jinan, Shandong, 250012, China
Yanqing Li, PHD
Qilu Hospital of Shandong University
119 participants (actual enrollment reported by the registry).
First Submitted
November 28, 2018
First Posted
November 30, 2018
Study Start
December 1, 2018
Actual (reported)A Randomized Controlled Multicenter Study of Artificial Intelligence Assisted Digestive Endoscopy
Registry-reported names are shown in full. Names without a link have not yet been matched to a Syfrah profile.
Contact the study team to confirm eligibility.
Primary Completion
March 1, 2020
Actual (reported)Study Completion
April 1, 2020
Actual (reported)Last Updated
April 28, 2020
Record last verified: 2020-04
Download the complete ClinicalTrials.gov record imported by Syfrah, including fields not shown in this page. The registry may contain a newer revision.
Source: ClinicalTrials.gov.
JSON downloads include source attribution and retrieval details alongside the unchanged original record or the separately normalized values.
Source retrieved: