首页|Beijing Institute of Technology Reports Findings in Artificial Intelligence (Sim ultaneous grading diagnosis of liver fibrosis, inflammation, and steatosis using multimodal quantitative ultrasound and artificial intelligence framework)
Beijing Institute of Technology Reports Findings in Artificial Intelligence (Sim ultaneous grading diagnosis of liver fibrosis, inflammation, and steatosis using multimodal quantitative ultrasound and artificial intelligence framework)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligenc e is the subject of a report. According to newsreporting out of Beijing, People ’s Republic of China, by NewsRx editors, research stated, “Noninvasive,accurate , and simultaneous grading of liver fibrosis, inflammation, and steatosis is val uable for reversingthe progression and improving the prognosis quality of chron ic liver diseases (CLDs). In this study, weestablished an artificial intelligen ce framework for simultaneous grading diagnosis of these three pathologicaltype s through fusing multimodal tissue characterization parameters dug by quantitati ve ultrasoundmethods derived from ultrasound radiofrequency signals, B-mode ima ges, shear wave elastography images,and clinical ultrasound systems, using the liver biopsy results as the classification criteria.”
BeijingPeople’s Republic of ChinaAsi aArtificial IntelligenceDiagnostics and ScreeningEmerging TechnologiesGa stroenterologyHealth and MedicineInflammationLiver CirrhosisLiver Diseas es and ConditionsLiver FibrosisMachine LearningSteatosis
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