Natural-Language Translation for Radiotherapy Treatment Planning
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Solution Overview
Problem
Conventional methods for translating clinical needs into radiotherapy treatment plans require significant human interaction and expertise, leading to inefficiencies and inaccuracies due to the complexity of programming languages and scripting in treatment planning systems.
Innovation Solution
The use of natural language processing and chatbot technology to convert user commands into executable scripts for radiotherapy treatment planning systems, allowing users without programming knowledge to automate and optimize treatment plans.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional methods are used to translate clinical needs into treatment plans, then treatment plan accuracy can be maintained through expert review, but the process requires significant human interaction and expertise leading to inefficiencies and inaccuracies
Solution Approach 1:
A natural language processing system serves as an intermediary between clinical professionals and the treatment planning system. The NLP system translates clinical needs into executable commands, eliminating the need for users to directly interact with complex programming interfaces while maintaining accurate treatment plan generation through expert review
2Extent of automation
If programming languages and scripting are used to control treatment planning systems, then automation capability is achieved, but the complexity of programming languages creates barriers for non-technical users
Solution Approach 1:
The patent replaces the mechanical interaction of programming languages and scripting with a natural language interface. The NLP system converts human-readable clinical terminology into the automated commands required by the treatment planning system, enabling automation without requiring users to learn programming languages or navigate complex scripting environments
3Manufacturing precision
If detailed programming commands are used to control treatment planning systems, then precise control is achieved, but the time required for generating treatment plans increases due to manual input requirements
Solution Approach 1:
The NLP system enables the treatment planning system to serve itself by automatically translating clinical needs into executable commands. This self-service capability eliminates the time-consuming manual input of programming commands while maintaining precise treatment plan control through automated command generation and execution
Data Source
AI summary
A system and method for generating automation commands for a treatment planning system used with radiotherapy treatment, includes: receiving text input from a user, the text input including information relating to a radiotherapy treatment plan of a patient; determining, based on parsing the text input, commands of the treatment planning system and command parameters to be used by the treatment planning system; generating scripting with a generative chatbot based on the text input, wherein the scripting includes the commands and the command parameters; and outputting the scripting for automation of the treatment planning system in connection with establishing the radiotherapy treatment plan for the radiotherapy treatment of the patient.