Researchers from Tianjin Medical University Provide Details of New Studies and F indings in the Area of Machine Learning (A Fully Automatic Mri-guided Decision S upport System for Lumbar Disc Herniation Using Machine Learning)
Researchers from Tianjin Medical University Provide Details of New Studies and F indings in the Area of Machine Learning (A Fully Automatic Mri-guided Decision S upport System for Lumbar Disc Herniation Using Machine Learning)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Machine Learn ing have been published. According to news reporting originating from Tianjin, P eople's Republic of China, by NewsRx correspondents, research stated, "Normalize d decision support system for lumbar disc herniation (LDH) will improve reproduc ibility compared with subjective clinical diagnosis and treatment. Magnetic reso nance imaging (MRI) plays an essential role in the evaluation of LDH." Our news editors obtained a quote from the research from Tianjin Medical Univers ity, "This study aimed to develop an MRI-based decision support system for LDH, which evaluates lumbar discs in a reproducible, consistent, and reliable manner. The research team proposed a system based on machine learning that was trained and tested by a large, manually labeled data set comprising 217 patients' MRI sc ans (3255 lumbar discs). The system analyzes the radiological features of identi fied discs to diagnose herniation and classifies discs by Pfirrmann grade and MS U classification. Based on the assessment, the system provides clinical advice. Eventually, the accuracy of the diagnosis process reached 95.83%. A n 83.5% agreement was observed between the system's prediction and the ground-truth in the Pfirrmann grade. In the case of MSU classification, 95. 0% precision was achieved. With the assistance of this system, the accuracy, interpretation efficiency and interrater agreement among surgeons wer e improved substantially."
Key words
Tianjin/People's Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Tianjin Medical University
NETL
NSTL