Invention Grant
- Patent Title: Patient specific risk prediction of cardiac events from image-derived cardiac function features
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Application No.: US16857306Application Date: 2020-04-24
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Publication No.: US11631500B2Publication Date: 2023-04-18
- Inventor: Julian Krebs , Tommaso Mansi , Bin Lou
- Applicant: Siemens Healthcare GmbH
- Applicant Address: DE Erlangen
- Assignee: Siemens Healthcare GmbH
- Current Assignee: Siemens Healthcare GmbH
- Current Assignee Address: DE Erlangen
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G16H50/30 ; A61B5/00 ; G16H30/20 ; G16H30/40 ; G16H50/20 ; G16H50/70 ; A61B5/024 ; G06V10/40 ; G06F18/214 ; G06V10/764 ; G06V10/82

Abstract:
Systems and methods for predicting a patient specific risk of cardiac events for cardiac arrhythmia are provided. A medical image sequence of a heart of a patient is received. Cardiac function features are extracted from the medical image sequence. Additional features are extracted from patient data of the patient. A patient specific risk of a cardiac event is predicted based on the extracted cardiac function features and the extracted additional features.
Public/Granted literature
- US20210057104A1 PATIENT SPECIFIC RISK PREDICTION OF CARDIAC EVENTS FROM IMAGE-DERIVED CARDIAC FUNCTION FEATURES Public/Granted day:2021-02-25
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