Development of a novel endoscopic hemostasis-assisted navigation AI system in the standardization of post-ESD coagulation.

ABSTRACT: Background and study aims While gastric endoscopic submucosal dissection (ESD) has become a treatment with fewer complications, delayed bleeding remains a challenge. Post-ESD coagulation (PEC) is performed to prevent delayed bleeding. Therefore, we developed an artificial intelligence (AI) to detect vessels that require PEC in real time. Materials and methods Training data were extracted from 153 gastric ESD videos with sufficient images taken with a second-look endoscopy (SLE) and annotated as follows: (1) vessels that showed bleeding during SLE without PEC; (2) vessels that did not bleed during SLE with PEC; and (3) vessels that did not bleed even without PEC. The training model was created using Google Cloud Vertex AI and a program was created to display the vessels requir

SUBMITTER: Fujinami H 

PROVIDER: S-EPMC11018392 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature