Artificial intelligence modeling for radiotherapy dose distribution analysis

Methods and systems for optimizing radiotherapy treatment plans using dose distribution values predicted via a trained artificial intelligence model are disclosed herein. The server trains the AI model using a training data set that includes data associated with a plurality of radiotherapy treatment...

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Bibliographic Details
Main Authors PIETILA VILLE, PELTOLA JARKKO, RASANEN MATTI
Format Patent
LanguageChinese
English
Published 13.02.2024
Subjects
ELECTROTHERAPY
HUMAN NECESSITIES
HYGIENE
MAGNETOTHERAPY
MEDICAL OR VETERINARY SCIENCE
RADIATION THERAPY
ULTRASOUND THERAPY
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Summary:Methods and systems for optimizing radiotherapy treatment plans using dose distribution values predicted via a trained artificial intelligence model are disclosed herein. The server trains the AI model using a training data set that includes data associated with a plurality of radiotherapy treatments previously performed on a plurality of previous patients and dose distributions associated with one or more organs of each previous patient. The server then executes (420) the trained AI model to predict a dose distribution for the patient. The server then displays the heat map depicting the predictive values, sends the predictive values to a plan optimizer to generate an optimized treatment plan for the patient, and/or sends (430) an alert when the treatment plan generated by the plan optimizer deviates from thresholds and rules indicated within the patient's plan goals. 本文公开了使用经由训练的人工智能模型预测的剂量分布值来优化放射疗法处理计划的方法和系统。服务器使用训练数据集来训练AI模型，该训练数据集包括与先前对多个先前患者实施的多个放射疗法处理相关联的数据以及与每个先前患者的一个或多个器官相关联的剂量分布。然后，服务器执行(420)经训练的AI模
Bibliography:Application Number: CN202280023432