SBIR/STTR Award attributes
Besides surgeryradiotherapy is the most effective treatment modality for localized prostate cancerThe success of radiotherapy stems from the exploit of a therapeutic window in tumor response and normal tissue tolerance which maximizes the chance of sterilizing the tumor while sparing the surrounding normal tissue from severe damageThis requires an accurate and individualized radiation dose distribution generated from the examination of the patient s medical imagesRadiation therapy is technically complex and labor intensiveIntensive human supervision and intervention are needed throughout the path of patient careArtificial intelligence and machine learning technologies are adept at automating workflows and tasks in this case the development of cancer treatment plansWe believe that this machine learning has incredible potential to address inherent problems in the existing treatment planning workflowOur approach will mitigate the current issues with treatment planningintegrate seamlessly with day to day operationsand will serve as a treatment solution that benefits patients in a way that limits their risk and extends their livesThe goal of this project is to develop a start to end prostate cancer treatment planning systemWe will work with three expert radiation oncology teams to archive existing patient data for use in training of artificial intelligence algorithmsThese algorithms will enable high quality plans to be generated with easeAt the completion of Phase Iwe will have a prototype interface that will allow users to create treatment plans and segmentation using artificial intelligence algorithmsAdditionallyusers will be able to evaluate these plans against other expert plans and against the training data
