PurposeMachine learning (ML) can extract high-throughput features of images to predict disease. This study aimed to develop nomogram of multi-parametric MRI (mpMRI) ML model to predict the risk of bre
The renal tumors or metastatic lesions of 127 were evaluated by CT or MRI 90 days before molecular targeted tharapy (MTT) treatment (as baseline scans) as well as between 30 and 90 days after MTT (as
Pertinent clinical data, including patient demographics and laboratory test results，were collected from archived medical records. The following parameters were extracted from pathologic reports: histo
