Patent №
US 11,684,239
Granted
2023-06-27
Filed 2021
Owner
CHENGDU WISION MEDICAL DEVICE CO., LTD.
+1 more
Lab
—
AI components
1
vision
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
17189321
A computer-implemented method for evaluating colonoscopy performance includes: (S1) splitting a video acquired during a colonoscopy examination into a plurality of colonoscopy images; (S2) assigning each of the colonoscopy images into a fold-inspection group or a non-fold-inspection group according to a first classification criterion and a second classification criterion, wherein the first classification criterion comprises at least one of clarity, exposure, level of tissue wrinkling, and level of occlusion in each of the colonoscopy images; and the second classification criterion comprises at least one of an amount of haustrum, an amount of colonic lumen, and a position of the colonic lumen in each of the colonoscopy images; and (S3) determining a performance rating of the colonoscopy examination according to an elapsed time of the fold-inspection group. The method classifies colonoscopy images more accurately and reliably, thereby providing an effective tool for quality assessment and guidance of colonoscopy examinations.
AI classification
Ownership
CHENGDU WISION MEDICAL DEVICE CO., LTD.
assignment · 554520912
BERZIN, TYLER M, MD
assignment · 643970179
Assignors
XIAO, XIAO, LIU, JINGJIA
On an employer assignment, the assignors are typically the inventors.