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Session: Therapy: Adaptive Therapy AI Software Delivery Systems [Return to Session]

Therapy: Adaptive Therapy AI Software Delivery Systems

L Conroy1*, A Yock2*, D Casey3*, D Ly4*, (1) Princess Margaret Cancer Centre, Toronto, ON, (2) Vanderbilt University Medical Center, Nashville, TN, (3) Accuray Inc., Madison, WI, AF, (4) Elekta, Inc., Atlanta, GA


3:30 PM Adaptive Therapy AI Software Delivery Systems - L Conroy, Presenting Author
4:00 PM Ethos™ Therapy, An Adaptive Intelligence™ Solution - A Yock, Presenting Author
4:25 PM Real-Time Delivery Adaptation with Synchrony®, and Adaptive Therapy with Automated Dose Trending on the Radixact® System - D Casey, Presenting Author
4:50 PM Adaptive Planning with Monaco TPS for Unity - D Ly, Presenting Author
5:15 PM Q&A - L Conroy, Presenting Author

TU-EF-TRACK 8-0 (Tuesday, 7/27/2021) 3:30 PM - 5:30 PM [Eastern Time (GMT-4)]

A treatment plan captures a single moment in time and does not account for changes in anatomy over the course of treatment. Changes in weight or variations in internal anatomy, for example, can result in displacement of the target volume and OARs relative to the planned dose. The process of adapting a plan can be labor-intensive and time-consuming for both physicians and staff. Artificial intelligence (AI) has the potential to improve the accuracy, precision, efficiency, and overall quality of radiation therapy for patients by automating adaptive radiotherapy workflows such as target segmentation, treatment planning, quality assurance and, in some cases, radiotherapy delivery. Vendors will present their AI adaptive solutions and describe how their products can improve the workflow and empower the clinician and staff to make informed decisions related to patient cancer treatments.

Keywords: Artificial intelligence, automated contouring, adaptive, treatment planning, treatment delivery

Educational Objectives:
1. Review the rationale behind adaptive planning.
2. Explore the different means of adapting a plan including off-line, on-line, and real-time adaptive planning.
3. Explain how AI can help streamline the adaptive treatment process.


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