Accepts Healthy Volunteers
Healthy volunteers are participants who do not have a disease or condition, or related conditions or symptoms
An interventional clinical study is where participants are assigned to receive one or more interventions (or no intervention) so that researchers can evaluate the effects of the interventions on biomedical or health-related outcomes.
An observational clinical study is where participants identified as belonging to study groups are assessed for biomedical or health outcomes.
Searching Both is inclusive of interventional and observational studies.
|Eligible Ages||18 Years - 72 Years|
This trial id was obtained from ClinicalTrials.gov, a service of the U.S. National Institutes of Health, providing information on publicly and privately supported clinical studies of human participants with locations in all 50 States and in 196 countries.
Phase 1: Studies that emphasize safety and how the drug is metabolized and excreted in humans.
Phase 2: Studies that gather preliminary data on effectiveness (whether the drug works in people who have a certain disease or condition) and additional safety data.
Phase 3: Studies that gather more information about safety and effectiveness by studying different populations and different dosages and by using the drug in combination with other drugs.
Phase 4: Studies occurring after FDA has approved a drug for marketing, efficacy, or optimal use.
The sponsor is the organization or person who oversees the clinical study and is responsible for analyzing the study data.
|Third Military Medical University|
The person who is responsible for the scientific and technical direction of the entire clinical study.
|Yanling Wei, Professor|
|Principal Investigator Affiliation||Third Military Medical University|
Category of organization(s) involved as sponsor (and collaborator) supporting the trial.
|Overall Status||Not yet recruiting|
The disease, disorder, syndrome, illness, or injury that is being studied.
|Ulcerative Colitis, Colonoscopy, Deep Learning|
In this project, artificial intelligence was used to colonoscopic images of patients with ulcerative colitis with different disease activity levels and classify them according to the evaluation standard Mayo score to assist endoscopists in identifying disease activity levels of patients with ulcerative colitis during colonoscopy. It can help clinical endoscopists to accurately identify, and the visualization technology of artificial intelligence category response map can comprehensively display the areas with high importance for deep network classification results, and visualize the experimental lesion sites, thus effectively verifying the reliability and interpretability of deep network. This study can provide strong support for accurate identification of disease activity in clinical ulcerative colitis, effectively reduce the workload of clinicians, and provide a convenient, effective and practical clinical teaching tool.
If you are interested in learning more about this trial, find the trial site nearest to your location and contact the site coordinator via email or phone. We also strongly recommend that you consult with your healthcare provider about the trials that may interest you and refer to our terms of service below.