Shanghai United Imaging Healthcare Co., Ltd.

Runxin Liu

Shuo Liu

Kejun Zhao

Binghuan Li

The present disclosure provides methods and systems for dose distribution prediction. The methods comprise obtaining historical state information and current state information of a target subject. The current state information may reflect the state of the target subject in a current treatment fraction, and the historical state information may reflect the state of the target subject prior to the current treatment fraction. The methods also comprise determining a feature parameter of at least one optimization target with respect to the current treatment fraction, and predicting a current dose distribution to be used in the current treatment fraction based on at least part of the historical state information, the current state information, and the feature parameter of the at least one optimization target using a dose prediction model, the dose prediction model being a trained machine learning model.

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Shanghai, China

Runxin Liu