Abstract: An AI-based endoscopic diagnostic aid system includes: an endoscope module providing an endoscopic image of internal organs of the body of a patient; an input module configured to be capable of inputting arbitrary medical information about the patient; a control module which analyzes the endoscopic image provided from the endoscope module through a pre-stored image processing program to detect lesion information, matches the detected lesion information with the medical information input from the input module through a pre-stored lesion diagnosis program while generating at least one diagnosis information of malignancy and malignancy probability corresponding to the matching result, and outputs a preset notification signal according to the lesion information and the diagnosis information; and a notification module which visually displays on an arbitrary screen according to the notification signal output from the control module.

Abstract: Disclosed are a detection device and a detection method for recognition of a location of an affected part. The detection device includes: a clip (100) attached to an affected part through an endoscopic tool and including an electronic marker (110); and a probe (200) including a measurement unit (210) configured to recognize the electronic marker (110) and which approaches the affected part from an outside of the affected part.