SYSTEMS AND METHODS FOR AUTOMATIC DETECTION AND TESTING OF IMAGES FOR CLINICAL RELEVANCE

Patent №

US 9,788,786

Granted

2017-10-17

Filed 2013

Owner

STRYKER TRAUMA (GMBH, SA OR AG)

+2 more

Lab

AI components

4

vision · planning · evo · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14112369

Disclosed herein are systems and methods for automatic detection of clinical relevance of images of an anatomical situation. The method includes comparing a first image and a second image and determining whether a difference between the first and second images is at least one of a local type difference and a global type difference. The local type difference is a local difference of the first image and the second image and the global type difference is a global difference between the first image and the second image. The second image is determined as having a clinical relevance if it is determined that the difference between the first image and the second image comprises a local type difference.

VisionPlanningEvolutionary computationAI hardwareA61B 5/4869G06T 7/0012G06T 7/254G06T 2207/20004G06T 2207/20021G06T 2207/20224

AI classification

Vision1.00
AI hardware0.80
Evolutionary computation0.73
Planning0.65
Knowledge representation0.24
Machine learning0.00
Natural language0.00
Speech0.00

Ownership

STRYKER TRAUMA (GMBH, SA OR AG)

assignment · 318560410

STRYKER TRAUMA GMBH

correct · 321210328

STRYKER EUROPEAN HOLDINGS VI, LLC

assignment · 371520863

Assignors

PFRENGLE, UDO, KOHNEN, MICHAEL, BLAU, ARNO, EPTING, THOMAS

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

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