- 专利标题： Cardiac function assessment using machine-learning algorithms
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申请号： US17305391申请日： 2021-07-07
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公开(公告)号： US12004860B2公开(公告)日： 2024-06-11
- 发明人: Paul Klein , Ingo Schmuecking , Costin Florian Ciusdel , Lucian Mihai Itu , Tiziano Passerini , Puneet Sharma
- 申请人： SIEMENS HEALTHINEERS AG
- 申请人地址： DE Forchheim
- 专利权人： Siemens Healthineers AG
- 当前专利权人： Siemens Healthineers AG
- 当前专利权人地址： DE Forchheim
- 优先权： DE 2020209696.1 2020.07.31 EP 465550 2020.07.31
- 主分类号： A61B5/308
- IPC分类号： A61B5/308 ; A61B5/00 ; A61B5/026
摘要：
A method includes processing at least one input dataset (using a multi-level processing algorithm, one or more of the at least one input dataset comprising imaging data of an echocardiography of a cardiovascular system of a patient. The multi-level processing algorithm comprises a multi-task level and a consolidation-task level. An input of the consolidation-task level is coupled to an output of the multi-task level. The multi-task level is configured to determine multiple diagnostic metrics of the cardiovascular system based on the at least one input dataset. The consolidation-task level is configured to determine a fitness of the cardiovascular system of the patient.
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