The invention relates to the technical field of rectal
cancer, and discloses an AI-based local advanced rectal
cancer neoadjuvant therapy
curative effect prediction system, which comprises a data collection and
processing module, a prediction model construction and training module, a prediction model
verification and optimization module and a clinical
application module, the
data collecting and
processing module is used for collecting clinical data, image data, radiotherapy target area data,
radiotherapy dose data, radiobiology data and
genomics data of a patient and then transmitting the data to the prediction
model building and training module, and the prediction
model building and training module extracts and selects key features in the data. And constructing a tumor segmentation multi-
modal fusion and calibration network prediction model based on the PET / CT image. According to the invention, the data of the patient is collected through the data collection and
processing module, so that the accuracy of radiotherapy effect and
side reaction prediction is improved through the constructed prediction model, and the problem of feature capture limitation caused by a
single center and a single mode of an existing AI model is solved.