The University of Alabama at Birmingham, the University of Rochester Medical Center, the University of Chicago, and MD Anderson Cancer Center (BiRCH Study Collaborative) do not make any warranties regarding the accuracy or completeness, timeliness, comparative or controversial nature, or usefulness of any information contained or referenced in the prediction tools. No endorsement or claim of validity of the BiRCH models was made by the developers or respective institutions.
By using the BiRCH models, you agree that the aforementioned institutions nor any other party will be liable or otherwise responsible for any decision or action made or action not due to the information provided by the prediction tools. The data entered into this website are not stored in any manner.
These prediction tools were designed for research purposes only and should not substitute clinician judgement. Patients should consult with their physician or health care provider regarding any medical decisions.
BiRCH SVM Model
This is a machine learning algorithm that predicts the probability of a PIRADS 4 or 5 lesion on prostate MRI in patients who have never had a prior prostate biopsy or in patients with at least one prior negative prostate biopsy.