ARTIFICIAL INTELLIGENCE MODELING FOR RADIATION THERAPY DOSE DISTRIBUTION ANALYSIS
Disclosed herein are methods and systems to optimize a radiation therapy treatment plan using dose distribution values predicted via a trained artificial intelligence model. A server trains the AI model using a training dataset comprising data associated with a plurality of previously implemented ra...
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Main Authors | , , |
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Format | Patent |
Language | English French German |
Published |
07.02.2024
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Subjects | |
Online Access | Get full text |
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Summary: | Disclosed herein are methods and systems to optimize a radiation therapy treatment plan using dose distribution values predicted via a trained artificial intelligence model. A server trains the AI model using a training dataset comprising data associated with a plurality of previously implemented radiation therapy treatments on a plurality of previous patients and dose distributions associated with one or more organs of each previous patient. The server then executes the trained AI model to predict dose distribution for a patient. The server then displays a heat map illustrating the predicted values, transmits the predicted values to a plan optimizer to generate an optimized treatment plan for the patient, and/or transmits an alert when a treatment plan generated by a plan optimizer deviates from rules and thresholds indicated within the patient's plan objectives. |
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Bibliography: | Application Number: EP20220716864 |