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原始名称记载: UIF (University Industry Foundation), Yonsei University

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№ US20260004188A1发明专利
审中

METHOD AND SYSTEM FOR MACHINE LEARNING FOR PREDICTING FRACTURE RISK BASED ON SPINAL RADIOGRAPHIC IMAGE, AND METHOD AND SYSTEM FOR PREDICTING FRACTURE RISK USING THE SAME

METHOD AND SYSTEM FOR MACHINE LEARNING FOR PREDICTING FRACTURE RISK BASED ON SPINAL RADIOGRAPHIC IMAGE, AND METHOD AND SYSTEM FOR PREDICTING FRACTURE RISK USING THE SAME

A machine learning method and system for predicting a fracture risk based on spinal radiographic images and a method and system for predicting a fracture risk are provided. A method for machine learning to predict fracture risk based on spinal radiographic image using a microprocessor includes i) providing cohorts' spinal radiographic images, whether they have a vertebral fracture, and whether they have osteoporosis as a learning data, ii) providing a first artificial intelligence model by first machine learning the spinal radiographic image as a first input value, status of the vertebral fracture and the osteoporosis as first labels; and iii) providing a second artificial intelligence model by performing second machine learning using a vertebral fracture score and an osteoporosis score output from the first artificial intelligence model unit, cohort's age, cohort's height, and cohort's body mass index (BMI) as second input values, and the status of a vertebral fracture as a second label.

❖UIF (University Industry Foundation), Yonsei UniversityNamki HONG; Kyoung Min KIM; Sang Wouk CHO§ 8/24 权利要求G6N 20/, A61B 6/, A61B 6/50 +210