Workspace+ is an AI-powered, cloud-native software platform developed by MVision AI to automate and standardize radiotherapy treatment planning. It integrates several specialized modules into a single secure environment to streamline clinical workflows from initial imaging to final dose prediction.

1. Accelerated Treatment Preparation
Workflow Automation: Automates repetitive tasks like contouring and dose prediction, which can speed up the planning process by up to 50%.
Time Savings: Some modules, like Contour+, have demonstrated time savings of up to 89-95% in specific clinical studies, potentially reducing patient waiting times from days to just a few.
Sim-to-Treat Efficiency: Supports the goal of "same-day radiotherapy" by allowing for faster, more informed clinical decisions.
2. Enhanced Precision and Consistency
Standardized Contours: Uses guideline-based AI (e.g., ESTRO, RTOG) to ensure consistent organ-at-risk (OAR) and target volume delineation across different clinicians and teams.
Reduced Variability: Minimizes inter-observer and inter-planner variations, leading to more reproducible treatment plans.
Dose Optimization: Dose+ provides patient-specific 3D dose predictions that serve as high-quality starting points for plan refinement.
3. Support for Adaptive Radiotherapy
Contour Propagation: The Adapt+ module automatically aligns and transfers contours between different image sets (like CT and CBCT-of-the-day), helping maintain treatment alignment as patient anatomy changes.
Synthetic Imaging: Image+ generates synthetic CT scans from MRI or CBCT, facilitating dose calculations for MRI-only or adaptive workflows while reducing the need for additional patient imaging.
4. Improved Clinical Decision Support
Full Oversight: While AI automates the "heavy lifting," clinicians remain in full control, reviewing and adjusting all AI-generated outputs before they are used for treatment.
Reduced Cognitive Fatigue: By unifying multiple tools in one interface, the platform reduces "tool switching," which can lower mental fatigue and help clinicians focus on higher-level clinical reasoning.
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