An artificial intelligence (AI) system called “ENDOANGEL” was effective for real-time monitoring of endoscopic “blind spots” and improved detection of early gastric cancer (EGC) during esophagogastroduodenoscopy (EGD), according to research published recently.
While EGD is widely used to examine lesions found in the upper gastrointestinal tract, there is considerable variability among endoscopists regarding performance, resulting in a substantial miss rate for EGC. But in a study published in the journal Endoscopy, researchers suggest a more objective assessment of lesions with AI technology could improve detection rates in real time, thus improving the chances of establishing an early diagnosis and initiating prompt treatment of gastric cancer.