A Single Center Study on the Effectiveness and Safety of Polyp Classification With Artificial Intelligence
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- STATUS
- Recruiting
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- participants needed
- 70
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- sponsor
- Renmin Hospital of Wuhan University
Summary
This is an artificial intelligence-based optical endoscopic polyp diagnosis system that can assist endoscopic doctors in diagnosing polyps and improve the quality of training in clinical Settings.
Description
Large sessile and laterally spreading colorectal lesions(LSLs) are increasingly encountered during colonoscopy. LSLs have an increased risk of harbouring invasive cancer and can be challenging to excise endoscopically. Wide-field endoscopic mucosal resection (WF-EMR) is widely used in treating LSLs. In the East, meanwhile endoscopic submucosal dissection (ESD) is the dominant technique due to its ability to achieve en bloc resection in over 80% of cases. Many papers have demonstrated that selective-esd has the highest economic benefit. The key is to find a reliable way to select.
Details
| Condition | Colonic Diseases, Intestinal Diseases, Artificial Intelligence |
|---|---|
| Age | 18-100 years |
| Treatment | Endoscopists refer to AI for diagnosis |
| Clinical Study Identifier | NCT04216901 |
| Sponsor | Renmin Hospital of Wuhan University |
| Last Modified on | 19 February 2024 |
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