Clinical Trials Logo

Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT05687318
Other study ID # PekingUMCH-1
Secondary ID
Status Completed
Phase N/A
First received
Last updated
Start date September 20, 2022
Est. completion date August 2, 2023

Study information

Verified date December 2022
Source Peking Union Medical College Hospital
Contact n/a
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

A clinical trial of the effectiveness and safety of intestinal polyp digestive endoscopy-assisted diagnosis software used in the analysis of colonoscopy medical images generated by electronic digestive endoscopy equipment.


Recruitment information / eligibility

Status Completed
Enrollment 337
Est. completion date August 2, 2023
Est. primary completion date April 28, 2023
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group 18 Years to 85 Years
Eligibility Inclusion Criteria: - Age of 18 to 85 years old, regardless of gender; - electronic colonoscopy is required; - The subjects or their legal representatives could understand the purpose of the trial, show sufficient compliance with the trial protocol, and sign the informed consent. Exclusion Criteria: - (1) Contraindications associated with electronic colonoscopy or biopsy; - (2) poor intestinal preparation; - (3) diagnosed colorectal cancer, familial polyposis, or complicated with known colorectal polyps; - (4) serious neurological diseases or dysfunction of vital organs (heart, lung, liver, kidney); - (5) acute abdominal or intestinal inflammation; - (6) History of abdominal, pelvic, anal and perianal operations within 2 months before enrollment; - (7) Participated in other interventional clinical trials within 1 month before enrollment; - (8) In the interest of subjects, the investigator considers that they should not participate in other conditions of the clinical trial.

Study Design


Intervention

Device:
DeFrame
DeFrame can analyze colonoscopy medical images generated by electronic digestive endoscopy equipment to automatically identify, label and screen capture polyps in the colon.

Locations

Country Name City State
China Peking Union Medical College Hospital Beijing Beijing

Sponsors (3)

Lead Sponsor Collaborator
Peking Union Medical College Hospital The Loudi Central Hospital, the Second Affiliated Hospital of South China University

Country where clinical trial is conducted

China, 

Outcome

Type Measure Description Time frame Safety issue
Primary PMR Polyp miss rate during colonoscopy procedure
Secondary AMR Adenoma miss rate during colonoscopy procedure
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
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 NCT04816981 - AI-EBUS-Elastography for LN Staging N/A
Completed NCT05006092 - Surveillance Modified by Artificial Intelligence in Endoscopy (SMARTIE) 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
Recruiting NCT04598997 - Artificial Intelligence With DEep Learning on COROnary Microvascular Disease