首页|University of Alberta Details Findings in Scoliosis (Validity of Machine Learning Algorithms for Automatically Extract Growing Rod Length On Radiographs In Chil dren With Early-onset Scoliosis)

University of Alberta Details Findings in Scoliosis (Validity of Machine Learning Algorithms for Automatically Extract Growing Rod Length On Radiographs In Chil dren With Early-onset Scoliosis)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Researchers detail new data in Musculoskeletal Di seases and Conditions - Scoliosis. According to news originating from Edmonton, Canada, by NewsRx correspondents, research stated, “The magnetically controlled growing rod technique is an effective surgical treatment for children who have e arly-onset scoliosis. The length of the instrumented growing rods is adjusted re gularly to compensate for the normal growth of these patients.”

EdmontonCanadaNorth and Central AmericaAlgorithmsBone Diseases and ConditionsCyborgsEmerging TechnologiesH ealth and MedicineMachine LearningMusculoskeletal Diseases and ConditionsO rthopedicsScoliosisSpinal CurvaturesSpinal Diseases and ConditionsUniversity of Alberta

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN：
年,卷(期)：2024.(Sep.11)