SYSTEM AND METHOD FOR PREDICTING SCOLIOSIS PROGRESSION

Patent №

US 9,547,897

Granted

2017-01-17

Filed 2015

Owner

ECOLE DE TECHNOLOGIE SUPERIEURE

+2 more

Lab

AI components

1

ml

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14434944

There is described a system, method, and computer-readable medium having stored thereon executable program code for generating a final Cobb angle prediction for idiopathic scoliosis, the method comprising: receiving patient-specific 3D morphological spine parameters, a selected curve type, and a selected skeletal maturity; applying the patient-specific 3D morphological spine parameters, a selected curve type, and a selected skeletal maturity to a predictive model based on 3D morphological spine parameters, curve type, and skeletal maturity, and generating the final Cobb angle prediction by modeling a progression curve of the idiopathic scoliosis.

Machine learningG06T 7/0012A61B 5/1071A61B 5/4566G16H 50/20G16H 50/50G06T 2207/10116G06T 2207/30012

AI classification

Machine learning0.98
Evolutionary computation0.21
Natural language0.04
Planning0.01
Vision0.00
AI hardware0.00
Knowledge representation0.00
Speech0.00

Ownership

ECOLE DE TECHNOLOGIE SUPERIEURE

assignment · 368910154

CENTRE HOSPITALIER UNIVERSITAIRE SAINTE-JUSTINE

assignment · 368910194

VALORISATION HSJ, LIMITED PARTNERSHIP

assignment · 368910753

Assignors

PARENT, STEFAN, NAULT, MARIE-LYNE, MAC-THIONG, JEAN-MARC, LABELLE, HUBERT

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

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