Development of a Machine Learning Model for Prostate Cancer Treatment Planning

该项目的目标是开发和测试一种使用人工智能(AI)来提高前列腺癌RT治疗计划的一致性和质量的应用程序。通过了解专家规划师在结构轮廓和治疗计划方面的偏好，并将这一原理与NRG临床试验中积累的数据相结合，AI模型将得到培训，以产生轮廓和治疗计划，实现专家之间的共识和基于比任何一位专家的输入更多的临床证据的最佳生活质量结果。 总体而言，该项目将满足改善前列腺癌治疗计划的需要，并降低经济成本。这个人工智能系统将生成一个治疗计划，该计划将提供一个可与人工规划者生成的标准进行比较的标准；随着使用该产品的个别机构的团队逐渐积累对该系统的经验，他们的参与将促进以更低的人力资本投资实现更高质量的计划，从而在降低成本的同时提高护理质量。

This project’s goal is to develop and test an application that uses Artificial Intelligence (AI) to improve consistency and quality of RT treatment plans for prostate cancer. By understanding expert planner preferences in structure contouring and treatment planning, and combining this rationale with data amassed in NRG clinical trials, AI models will be trained to produce contours and treatment plans achieving consensus amongst experts and optimal quality of life outcomes based on more clinical evidence than any one expert’s input. Overall, this project will meet a need for improved treatment planning for prostate cancer at reduced economic cost. This AI system will generate treatment plans that will provide a standard which may be compared against those generated by human planners; in time, as teams at individual institutions who employ the product develop greater experience with the system, their engagement will foster the achievement of plans at higher quality with lower investment of human capital, thereby improving quality of care while reducing costs.