Machine learning-based automated planning for hippocampal avoidance prophylactic cranial irradiation.
Rodríguez de Dios NMartínez Moñino ACristina LiuRafael JiménezNúria AntónMiguel PrietoFrancesco AmorelliPalmira ForoManuel Algara LópezXavier SanzIsmael MembriveAna ReigJaume QueraEnric Fernández-VelillaOscar PeraPublished in: Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico (2022)
The KB model allows automated planning for HA-PCI. Automation of radiotherapy planning improves efficiency, safety, and quality and could facilitate access to new techniques.
Keyphrases
- machine learning
- deep learning
- high throughput
- artificial intelligence
- coronary artery disease
- acute coronary syndrome
- radiation induced
- big data
- radiation therapy
- locally advanced
- heart failure
- antiplatelet therapy
- st segment elevation myocardial infarction
- quality improvement
- coronary artery bypass grafting
- brain injury
- temporal lobe epilepsy