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US 2023/0410289 A1Published application
Machine learning-assisted computed tomography workflow
AssigneeSiemens Healthcare GmbH
InventorsBernhard Schmidt, Katharine Grant
Life of this patent
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Abstract
A system and method include acquisition of a two-dimensional radiograph of a patient, input of the radiograph to a trained machine learning model to generate a classification, performance of a computed tomography scan of the patient based on the two-dimensional radiograph if the classification indicates that the patient does not have a first condition, and determination to modify the computed tomography scan if the classification indicates that the patient has the first condition.
Claims18
A system comprising:
- an imaging system;
- and
- a computing system to:
- operate the imaging system to acquire a two-dimensional radiograph of a patient;
- input the radiograph to a trained machine learning model to generate a classification;
- if the classification indicates that the patient does not have a first condition, operate the imaging system to perform a computed tomography scan of the patient based on the two-dimensional radiograph;
- and
- if the classification indicates that the patient has the first condition, determine to modify the computed tomography scan.
5 more elements
A method comprising:
- acquiring a two-dimensional radiograph of a patient;
- inputting the radiograph to a trained machine learning model to generate a classification;
- if the classification indicates that the patient does not have a first condition, performing a computed tomography scan of the patient based on the two-dimensional radiograph;
- and
- if the classification indicates that the patient has the first condition, determining to modify the computed tomography scan.
2 more elements
A system comprising:
- a storage device storing a trained classification model;
- and
- a processing unit to:
- input a two-dimensional radiograph of a patient to the trained classification model to generate a classification;
- determine whether the classification indicates that the patient has a first condition;
- if the classification indicates that the patient does not have the first condition, operate an imaging system to perform a computed tomography scan of the patient based on the two-dimensional radiograph;
- and
- if the classification indicates that the patient has the first condition, determine to modify the computed tomography scan.
5 more elements
Dependencies are inferred from the claim text.