  Brain metastases are a complication of primary cancer, representing the most
common type of brain tumor in adults. The management of multiple brain
metastases represents a clinical challenge worldwide in finding the optimal
treatment for patients considering various individual aspects. Managing
multiple metastases with stereotactic radiosurgery (SRS) is being increasingly
used because of quality of life and neurocognitive preservation, which do not
present such good outcomes when dealt with whole brain radiation therapy
(WBRT). After treatment, analyzing the progression of the disease still
represents a clinical issue, since it is difficult to determine a standard
schedule for image acquisition. A solution could be the applying artificial
intelligence, namely predictive models to forecast the incidence of new
metastases in post-treatment images. Although there aren't many works on this
subject, this could potentially bennefit medical professionals in early
decision of the best treatment approaches.
