HIGHLIGHTS
- who: JIA-SHENG HONG and collaborators from the Department of Biomedical Imaging and Radiological Sciences, National University, Taipei, Taiwan have published the article: Machine Learning Application With Quantitative Digital Subtraction Angiography for Detection of Hemorrhagic Brain Arteriovenous Malformations, in the Journal: (JOURNAL)
- what: The authors aimed to detect the ruptured BAVMs by using QDSA features and machine_learning algorithms. A total of 150 cases were used in the data set used to train the models, and a separate data set comprising 21 cases was used for testing. H. STUDY LIMITATIONS Despite the favorable outcomes, this study . . .
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