Comparing AI-assisted endocytoscopy for colorectal lesions

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This study evaluates the diagnostic performance of various artificial intelligence-assisted endocytoscopy techniques for identifying colorectal lesions. By enhancing the accuracy of endoscopic examinations, the study aims to differentiate between neoplastic and non-neoplastic lesions during colonoscopy. This could potentially reduce unnecessary resections and associated costs while improving patient outcomes. The observational nature of the study allows for real-world data collection on the effectiveness of these AI technologies in clinical settings.

Why it matters

Who can join: the full rules

Inclusion Criteria:

* colorectal lesions

Exclusion Criteria:

* lesions lacking high-quality images;
* Inflammatory bowel disease, familial adenomatous polyposis and other special diseases;
* submucosal tumors;
* Pathological diagnosis of Peutz-Jeghers polyps, juvenile polyps, lymphoma and other pathological types.

Where it's running

• First Hospital of Jilin University
  Changchun, Jilin, China Recruiting

Study contacts

• Study coordinator: Mingqing Liu, Doctor
• Email: liumq23@mails.jlu.edu.cn
• Phone: 15043076005

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

• Using AI to improve diagnosis of colorectal lesions during endoscopy

  This study is testing if using real-time artificial intelligence during colonoscopies can help doctors better identify colorectal lesions and reduce unnecessary surgeries.

  Recruiting The First Hospital of Jilin University · Changchun, Jilin · NCT06982885

• Retroperitoneal Tumor Registry

  This observational registry collects real-world data from people with retroperitoneal tumors to help understand features, treatments, and long-term outcomes.

  Recruiting The First Hospital of Jilin University · Changchun, Jilin · NCT07915895

• Polatuzumab Vedotin plus Rituximab with Reduced-dose chemo for frail seniors with DLBCL

  This trial tests whether a gentler, first-line treatment (Polatuzumab Vedotin with Rituximab and reduced-dose chemo) helps older, frail patients with DLBCL stay disease-free longer.

  Recruiting Phase 4 The First Hospital of Jilin University · Changchun, Jilin · NCT07908888

• Vision-language AI helps emergency CT readers spot thoraco-abdominal problems

  This trial tests whether a self-developed AI model can help radiologists find acute thoraco-abdominal emergencies on CT scans more accurately than standard reading in adult emergency patients.

  Recruiting The First Hospital of Jilin University · Changchun, Jilin · NCT07899931

• Tegileridine for pain after bariatric surgery

  This phase 3 trial tests tegileridine vs standard opioid medicine to see if it provides good pain relief after bariatric surgery while considering sleep apnea status.

  Recruiting Phase 3 The First Hospital of Jilin University · Changchun, Jilin · NCT07844512

• Modular robotic surgery to remove GEJ cancers at Siewert II/III

  This trial tests a modular robotic system to perform minimally invasive removal of Siewert type II/III gastroesophageal junction cancers in adults.

  Recruiting The First Hospital of Jilin University · Changchun, Jilin · NCT07790809

How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.