Automated Anatomic And Regional Location Of Disease Features In Colonoscopy Videos

Patent №

US 11,615,527

Granted

2023-03-28

Filed 2020

Owner

THE REGENTS OF THE UNIVERSITY OF MICHIGAN

Lab

AI components

4

ml · nlp · vision · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16875357

A system for automatically analyzing a video recording of a colonoscopy includes a processor and memory storing instructions, which when executed by the processor, cause the processor to receive the video recording of the colonoscopy performed on the colon and detect informative frames in the video recording. A frame is informative if the clarity of the frame is above a threshold or if the frame includes clinically relevant information about the colon. The instructions cause the processor to generate scores indicating severity levels of a disease for a plurality of the informative frames, estimate locations of the plurality of the informative frames in the colon, and generate an output indicating a distribution of the scores over one or more segments of the colon by combining the scores generated for the plurality of the informative frames and the estimated locations of the plurality of the informative frames in the colon.

Machine learningNatural languageVisionAI hardwareG06F 16/7847G06F 16/285G06F 18/2433G06N 3/045G06N 3/0464G06N 3/08G06N 3/084G06N 3/09+24 more

AI classification

Vision1.00
AI hardware1.00
Machine learning0.99
Natural language0.93
Knowledge representation0.02
Evolutionary computation0.00
Planning0.00
Speech0.00

Ownership

THE REGENTS OF THE UNIVERSITY OF MICHIGAN

assignment · 543350470

Assignors

NAJARIAN, KAYVAN, YAO, HEMING, SOROUSHMEHR, SAYEDMOHAMMADREZA, GRYAK, JONATHAN, STIDHAM, RYAN W.

On an employer assignment, the assignors are typically the inventors.

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