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Artificial Intelligence for Early Diagnosis of Esophageal Squamous Cell Carcinoma

NCT03759756 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 119

Last updated 2020-04-28

No results posted yet for this study

Summary

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.

Conditions

  • Artificial Intelligence
  • Optical Enhancement Endoscopy
  • Magnifying Endoscopy

Interventions

OTHER

AI presentation

AI presentation means the automatic diagnosis information of AI and AI presentation means it is visible in the group.

OTHER

no AI presentation

AI presentation means the automatic diagnosis information of AI and no AI presentation means it is invisible in the group.

Sponsors & Collaborators

  • Shandong University

    lead OTHER

Principal Investigators

  • Yanqing Li, PHD · Qilu Hospital, Shandong University

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2018-12-01
Primary Completion
2020-03-01
Completion
2020-04-01

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT03759756 on ClinicalTrials.gov