Joona Hartman,Maria Cordero Marcos,Esa Kuusela,Jarkko Peltola,Janne Nord
申请号：
US15202358
公开号：
US10159851B2
申请日:
2016.07.05
申请国别(地区):
US
年份:
2018
代理人:
摘要：
The present invention proposes a method for automatically training a dose prediction model based on existing clinical knowledge that is accumulated from multiple sources without collaborators establishing communication links between each other. According to embodiments of the claimed subject matter, clinics can collaborate in creating a dose prediction model by submitting their treatment plans into a remote computer system (such as a cloud-based system) which aggregates information from various collaborators and produces a model that captures clinical information from all submitted treatment plans, and can be used to predict dose distributions (and other dose parameters) in subsequent treatment plans.
