There are many cancer staging tasks for which AI/ML algorithms may be helpful and for which performance will need to be assessed thoroughly and correctly. Here you will find examples of tasks and which branch of the MIDRC-MetricTree to investigate. These tasks include:

• Prediction of probability of (or yes/no) lymph node involvement based on analysis of the index tumor (branch: classification -> binary classification)

• Prediction of tumor pathologic stage from radiologic stage (branch: classification -> binary classification or estimation)

• Prediction of tumor pathologic stages over time from radiologic stage (branch: time-to-event analysis)

• Estimation of genomics (or proteomics, multi-omics) from imaging (branch: estimation)

• Estimation of tumor cellularity on digital pathology images (branch: estimation)