**10. The role of AI in radiation oncology**

As treatment planning becomes more complex, tasks that can be performed by AI will become invaluable to department workflow and an essential tool for planning teams. There are evolving standards in radiation oncology which must include the tools of artificial intelligence to optimize patient care moving forward. Departments will need to become as efficient as possible, even in performing tasks with advanced complexity. There are changing reimbursement models for radiation oncology and it is anticipated that compressed fractionation models will continue to mature. Therefore, even though the number of treatments to patient may decrease, there will be no decrease in the number and complexity of plans created for patients which will place planning teams including dosimetrists at the crossroad between devoting time to optimize a patient plan and efficiency of time applied to the task. We will need AI tools to help support and facilitate plan development. There are tools available for auto-contouring normal tissue and AI tools are in development to support planning including radiosurgery including the plan seen in **Figure 2**. This will save time and effort for planning teams and permit planners to focus on optimizing plans relative to constraints established for each patient [107].

*Clinical Considerations for Modern Dosimetry and Future Directions for Treatment Planning DOI: http://dx.doi.org/10.5772/intechopen.105910*
