Clinical Trials Logo
  1. Home
  2. Artificial Intelligence
  3. NCT03759756
  4. Details
NCT03759756 Clinical Trial

Artificial Intelligence for Early Diagnosis of Esophageal Squamous Cell Carcinoma

Artificial Intelligence Clinical Trial

Official title:
Application of Artificial Intelligence for Early Diagnosis of Esophageal Squamous Cell Carcinoma During Optical Enhancement Magnifying Endoscopy

Clinical Trial Details — Status: Completed

Administrative data
NCT number NCT03759756
Other study ID # 2018SDU-QILU-2
Secondary ID
Status Completed
Phase
First received
Last updated
Start date December 1, 2018
Est. completion date April 1, 2020

Study information
Verified date April 2020
Source Shandong University
Contact n/a
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial 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.

Recruitment information / eligibility
Status Completed
Enrollment 119
Est. completion date April 1, 2020
Est. primary completion date March 1, 2020
Accepts healthy volunteers No
Gender All
Age group 18 Years and older
Eligibility Inclusion Criteria:

- high risk patients for esophageal cancer aged 18 years or older;

- Histologically verified early esophageal squamous cell cancer.

Exclusion Criteria:

- patients whose images of esophagus not suitable for the training, validation and testing the computer-assist diagnosis tool.

Study Design

Related Conditions & MeSH terms

Intervention

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

Locations
Country Name City State
China Department of Gastroenterology, Qilu Hospital, Shandong University Jinan Shandong

Sponsors (1)
Lead Sponsor Collaborator
Shandong University

Country where clinical trial is conducted

China, 

Outcome
Type Measure Description Time frame Safety issue
Primary the diagnosis efficiency of the AI model the sensitivity, specificity and accuracy of the AI model 12 months
See also
  Status Clinical Trial Phase
Completed NCT04589078 - Polyp REcognition Assisted by a Device Interactive Characterization Tool - The PREDICT Study
Completed NCT03857438 - Correlation of Audiovisual Features With Clinical Variables and Neurocognitive Functions in Bipolar Disorder, Mania
Completed NCT04735055 - Artificial Intelligence Prediction for the Severity of Acute Pancreatitis
Not yet recruiting NCT05452993 - Screening for Diabetic Retinopathy in Pharmacies With Artificial Intelligence Enhanced Retinophotography N/A
Not yet recruiting NCT04337229 - Evaluation of Comfort Behavior Levels of Newborns With Artificial Intelligence Techniques N/A
Completed NCT05687318 - A Clinical Trial of the Effectiveness and Safety of Software Assisting Diagnose the Intestinal Polyp Digestive Endoscopy by Analysis of Colonoscopy Medical Images From Electronic Digestive Endoscopy Equipment N/A
Recruiting NCT06051682 - Optimization of the Diagnosis of Bone Fractures in Patients Treated in the Emergency Department by Using Artificial Intelligence for Reading Radiological Images in Comparison With Traditional Reading by the Emergency Doctor. N/A
Not yet recruiting NCT06039917 - Effect of the Automatic Surveillance System on Surveillance Rate of Patients With Gastric Premalignant Lesions N/A
Not yet recruiting NCT06362629 - AI App for Management of Atopic Dermatitis N/A
Recruiting NCT06164002 - A I in the Prediction of Clinical Performance, Marginal Fit and Fracture Resistance of Vertical Versus Horizontal Margin Designs Fabricated With 2 Ceramic Materials N/A
Recruiting NCT06059378 - Real-life Implementation of an AI-based Optical Diagnosis N/A
Completed NCT05517889 - Repeatability and Stability of Healthy Skin Features on OCT
Completed NCT05006092 - Surveillance Modified by Artificial Intelligence in Endoscopy (SMARTIE) N/A
Completed NCT04816981 - AI-EBUS-Elastography for LN Staging N/A
Recruiting NCT04535466 - Diagnosis Predictive Modle for Dense Density Breast Tissue Based on Radiomics
Enrolling by invitation NCT04719117 - Retrograde Cholangiopancreatography AI Assisted System Validation on Effectiveness and Safety
Completed NCT04399590 - Comparing the Number of False Activations Between Two Artificial Intelligence CADe Systems: the NOISE Study
Recruiting NCT04126265 - Artificial Intelligence-assisted Colonoscopy for Detection of Colon Polyps N/A
Recruiting NCT06255808 - Development of Assist Tool for Breast Examination Using the Principle of Ultrasonic Sensor
Recruiting NCT04131530 - Automatic Evaluation of Inflammation Activity in Ulcerative Colitis Using pCLE With Artificial Intelligence