--- title: "Webinar: Advancing AI Contouring with McGill University: AutoContour v2.7 Clinical Evaluation_OPEN" image: https://resources.radformation.com/hubfs/2024.01%20AC%20Masterclass%20Webinar%20Cover-2.png --- [![Radformation](https://resources.radformation.com/hubfs/radformation-logo%20WHITE%20BACKGROUND.jpg)](https://radformation.com/) - Products   ### [![](https://resources.radformation.com/hubfs/prod-act.svg) AutoContour Automated AI Contouring](https://radformation.com/autocontour/autocontour) ### [![](https://resources.radformation.com/hubfs/prod-ezf.svg) EZFluence Automated 3D Planning](https://radformation.com/ezfluence/ezfluence) ### [![](https://resources.radformation.com/hubfs/prod-cch.svg) ClearCheck Automated Plan Evaluation](https://radformation.com/clearcheck/clearcheck) ### [![](https://resources.radformation.com/hubfs/prod-crt.svg) ChartCheck Automated Treatment Eval](https://radformation.com/chartcheck/chartcheck) ### [![](https://resources.radformation.com/hubfs/prod-op.svg) OptiPlan Automated VMAT Planning](https://radformation.com/optiplan/optiplan) ### [![](https://resources.radformation.com/hubfs/prod-cca.svg) ClearCalc Independent Calc Software](https://radformation.com/clearcalc/clearcalc) ### [![ChartCheck\_Adaptive\_Logomark](https://resources.radformation.com/hubfs/ChartCheck_Adaptive_Logomark.svg) ChartCheck Adaptive Automated Adaptive Assessment](https://radformation.com/chartcheck/adaptive) ### [![](https://resources.radformation.com/hubfs/rmc.svg) RadMonteCarlo Independent Monte Carlo](https://radformation.com/radmontecarlo/radmontecarlo) ### [![](https://resources.radformation.com/hubfs/prod-rdt.svg) RadMachine Comprehensive Machine QA](https://radformation.com/radmachine/radmachine) ### [![](https://resources.radformation.com/hubfs/prod-qck.svg) QuickCode Automated Billing QA](https://radformation.com/quickcode/quickcode) - Resources   ### [Blog](https://blog.radformation.com?hsLang=en) ### [BED Calculator](https://radformation.com/tools/bed-calculator) ### [Case studies](https://resources.radformation.com/case-studies?hsLang=en) ### [Decay Calculator](https://radformation.com/tools/decay-calculator) ### [Webinars](https://resources.radformation.com/webinars?hsLang=en) ### [Interpolation Calculator](https://radformation.com/tools/interpolation-calculator) ### [White papers](https://resources.radformation.com/white-papers?hsLang=en) ### [Videos](https://resources.radformation.com/videos?hsLang=en) ### [User of the Month](https://resources.radformation.com/user-of-the-month?hsLang=en) ### [Surveys](https://radformation.com/surveys) - Company   ### [About us](https://radformation.com/about) ### [Careers](https://radformation.com/careers) ### [Events](https://events.radformation.com/?hsLang=en) ### [Sales](https://radformation.com/contact/sales) ### [Support](https://radformation.com/success-support) ### [Research](https://info.radformation.com/research?hsLang=en) ### [Press](https://radformation.com/press) - [Contact](https://radformation.com/contact) [![  Sign in](https://no-cache.hubspot.com/cta/default/21696034/b0649c05-e1f9-4050-baf3-050bc98a9a8f.png)](https://cta-redirect.hubspot.com/cta/redirect/21696034/b0649c05-e1f9-4050-baf3-050bc98a9a8f) ON-DEMAND WEBINAR / AUTOCONTOUR # Advancing AI Contouring with McGill University: AutoContour v2.7 Model Benchmarking and Clinical Evaluation AI contouring tools continue to evolve rapidly, offering opportunities to improve efficiency and consistency in radiation therapy planning. In this webinar, speakers from Radformation and McGill University reviewed the development and evaluation of **AutoContour v2.7**, which represents the integration of the AutoContour and Limbus platforms.  **What You’ll Learn** - Understand how AutoContour v2.7 integrates AutoContour and Limbus, and what that means for clinical workflows - Learn how automated contouring models are benchmarked, evaluated, and selected for real-world use - Compare contouring outputs from Limbus and AutoContour using Zero-Click workflows and quantitative metrics - Explore key performance considerations, including runtime, case complexity, and implementation factors - Gain practical insights into transitioning from Limbus to AutoContour, including workflow, deployment, and efficiency impacts Watch our on-demand webinar recording for an informative and insightful discussion on the exciting integration of AutoContour and Limbus Contour. ![](https://play.vidyard.com/akz6fbps1XF9ED7qFzimkk.jpg) ### Speakers ![Joshua](https://resources.radformation.com/hubfs/Joshua.webp) #### Josh Giambattista, MD Radiation Oncologist Radformation, Co-founder of Limbus AI ![Mercedes Headshot](https://resources.radformation.com/hubfs/Mercedes%20Headshot.png) #### Mercedes Riveira, PhD Clinical Success Manager, EMEA Radformation ![Piotr2](https://resources.radformation.com/hubfs/Piotr2.jpg) #### Piotr Pater, PhD, MCCPM Clinical Medical Physicist, Montreal Univ. Health Center Associate Professor, Medical Physics, McGill University ![Laura\_Grad\_Crop2](https://resources.radformation.com/hubfs/Laura_Grad_Crop2.jpg) #### Laura Bickley, PhD Post-Graduate McGill University **Interested in learning more about AutoContour v2.7? 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