Simulated follow-up imaging
AssigneeInternational Business Machines Corporation
InventorsDavid Richmond, Maria Victoria Sainz de Cea, Sun Young Park
Life of this patent
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Abstract
A method, computer system, and a computer program product for simulated follow-up imaging is provided. The present invention may include receiving a set of longitudinal imaging exam data associated with a patient. The received set of longitudinal imaging exam data may correspond to a series of repeated examinations of the patient conducted over time. The present invention may also include generating, using a trained learning model, a synthetic medical image associated with the patient. The generated synthetic medical image may correspond to a simulated future imaging exam of the patient predicted based on at least a portion of the series of repeated examinations of the patient conducted over time.
Claims20
A computer-implemented method, comprising:
- receiving a set of longitudinal imaging exam data associated with a patient, wherein the received set of longitudinal imaging exam data corresponds to a series of repeated examinations of the patient conducted over time;
- and
- generating, using a trained learning model, a synthetic medical image associated with the patient, wherein the generated synthetic medical image corresponds to a simulated future imaging exam of the patient predicted based on at least a portion of the series of repeated examinations of the patient conducted over time.
A computer system for simulated follow-up imaging, comprising:
- one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage media, and program instructions stored on at least one of the one or more computer-readable tangible storage media for execution by at least one of the one or more processors via at least one of the one or more memories, wherein the computer system is capable of performing a method comprising:
- receiving a set of longitudinal imaging exam data associated with a patient, wherein the received set of longitudinal imaging exam data corresponds to a series of repeated examinations of the patient conducted over time;
- and
- generating, using a trained learning model, a synthetic medical image associated with the patient, wherein the generated synthetic medical image corresponds to a simulated future imaging exam of the patient predicted based on at least a portion of the series of repeated examinations of the patient conducted over time.
A computer program product for simulated follow-up imaging, comprising:
- one or more computer-readable storage media and program instructions collectively stored on the one or more computer-readable storage media, the program instructions executable by a processor to cause the processor to perform a method comprising:
- receiving a set of longitudinal imaging exam data associated with a patient, wherein the received set of longitudinal imaging exam data corresponds to a series of repeated examinations of the patient conducted over time;
- and
- generating, using a trained learning model, a synthetic medical image associated with the patient, wherein the generated synthetic medical image corresponds to a simulated future imaging exam of the patient predicted based on at least a portion of the series of repeated examinations of the patient conducted over time.
Dependencies are inferred from the claim text.