My degree is actually in computational medicine, treatment planning algorithms for radiosurgery. The field moves slow. Already, automation segmentation and registration for tumor detection is doing things we only dreamed of 20 years ago. I've seen studies where deep learning models outperform humans already. There will always be human oversight and it will be another powerful tool like beams eye view dosimetric models. Depending on the system, treatment plans can include NP hard/complete problems, been a while but I think sphere packing and gamma knife comes to mind.