| Abstrakt: |
A recent study conducted by the University Health Network in Toronto, Canada, explored the use of machine learning (ML) in radiation therapy planning for patients with primary brain tumors. The study found that ML-assisted plans were clinically acceptable for treatment in 94% of cases, similar to manually created plans. ML plans also delivered slightly less dose to normal brain tissues and required less time to create compared to manual plans. This research suggests that ML-assisted automated planning can produce high-quality treatment plans for patients with brain tumors, including children. [Extracted from the article] |
