The invention discloses a rib fracture AI auxiliary diagnosis method based on human
chest CT scanning sequence data. The rib fracture AI auxiliary diagnosis method comprises the following steps: S1, labeling, training and verifying an AI auxiliary diagnosis model; S2, acquiring CT scanning sequence data; S3, performing pretreatment; S4, carrying out diagnosis: inputting the preprocessed CT image data into an AI auxiliary diagnosis model RibsNet to complete diagnosis, if a suspected focus is detected, outputting prediction data, and otherwise, determining that the prediction data is empty; andS5, outputting diagnosis, carrying out post-
processing on the prediction data, then superposing and displaying the prediction data in a
chest CT scanning sequence, and displaying fracture suspected focus information. According to the invention, the rib fracture AI auxiliary diagnosis method based on the human
chest CT scanning sequence data is adopted; whether the suspected fracture
lesion existsin the human chest CT scanning sequence or not can be recognized, meanwhile, the
lesion area and the
lesion type are accurately identified and displayed, the suspected lesion is scored, a doctor is assisted in screening rib fractures, and the diagnosis efficiency and accuracy are improved.