Submucosal vessel detection during third-space endoscopy - Role of AI

The role of artificial intelligence (AI) in submucosal vessel detection during third-space endoscopy, such as endoscopic submucosal dissection (ESD) and peroral endoscopic myotomy (POEM), has been explored to enhance procedural safety and efficiency. These advanced endoscopic techniques involve navigating the submucosal layer, where unseen blood vessels pose a risk of accidental injury and significant bleeding.

AI has shown promise in improving the detection of submucosal vessels during these procedures. By assisting endoscopists, AI enhances vessel identification accuracy and reduces the time required for detection, thereby facilitating smoother procedural workflows. While AI may occasionally generate false positives, these are brief and unlikely to disrupt the procedure. The findings suggest that AI can serve as a valuable tool for improving safety and reducing complications in complex therapeutic endoscopy.

Although further clinical trials are necessary, this study highlights AI's potential to support endoscopists and improve outcomes in third-space endoscopic procedures.