AI-powered dose prediction to support consistent, efficient, and personalised radiotherapy treatment planning optimisation.
Personalized Dose Prediction for Smarter Planning
Dose+ is an AI-powered solution designed to support plan optimisation for prostate and pelvic lymph node radiotherapy. Using machine learning techniques to generate patient-specific dose predictions, Dose+ helps radiation oncology professionals plan more efficiently. By analysing individual anatomy, it delivers tailored 3D dose estimates that align with clinical best practices.
Dose+ creates clinically achievable VMAT dose distributions from CT images and structure sets using a simple DICOM transfer. These 3D dose distributions can be imported into any DICOM-compliant treatment planning system, offering a strong starting point for plan refinement. By improving efficiency and consistency, Dose+ helps maintain high plan quality across different planning scenarios.
*510(k) pending and not available in all markets.
Specialised AI Models for Prostate and Pelvic Radiotherapy
Dose+ features two specialised AI models for prostate and pelvic lymph node radiotherapy, clinically validated across multiple institutions. The prostate model supports inverse planning for localised prostate cancer, while the pelvic LN model assists in cases involving lymph nodes. Both models generate achievable VMAT-style dose distributions, serving as personalised starting points in defining objectives before plan optimisation.
The system supports all standard fractionation schemes, including simultaneous integrated boost techniques, requiring only standard anatomical structures with associated target dose for prediction. With consistent performance across cases, the models do not require local tuning or adjustments, allowing for immediate clinical implementation and improved workflow efficiency.
Prostate Model
Specialised AI model for prostate cancer cases without nodal involvement. Supports all fractionation approaches – from conventional to SBRT – with capability for simultaneous integrated boost techniques.
Pelvic LN Model
Specialised AI model for prostate cancer treatments with lymph node involvement. Supports conventional and moderate hypofractionation, with capabilities for complex simultaneous integrated boost techniques.
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Dose+
Features and Benefits
Secure and compliant
Dose+ meets GDPR & HIPAA standards
Dose+ is GDPR & HIPAA compliant, ensuring that your clinic maintains the highest standards of data protection and patient privacy.
All images are pseudo-anonymised and delivered to the MVision AI cloud only to generate the predicted dose distribution data. Data is uploaded to the cloud through an encrypted connection to be processed by the AI algorithm.
Once the patient-specific RTDose data is generated, they are sent back to the clinic via the same encryption/decryption process to be imported in TPS. Received data is deleted from the cloud server within 24 hours. The entire process, including uploading, processing, and receiving results, takes only a few minutes and happens automatically in the background.
MVision AI cloud process enables clinicians to a dapt to individual patient anatomy and receive target prescriptions. Workflow is speeded by up to 50% while maintaining high plan quality and clinical standards. The process is validated across multiple international institutions with proven performance across different treatment planning systems. Works with all major treatment planning systems through standard DICOM protocols.
Data Controller:
The clinic is designated as the data controller, retaining full control over patient data while ensuring compliance with privacy regulations.
Data Processor:
MVision AI acts as the data processor, adhering to a comprehensive data processing agreement that guarantees all data handling is secure and compliant with industry standards.
Ready to Transform Your Planning Workflow?
Discover how Dose+ dose prediction technology can elevate your radiotherapy treatment planning system. Contact us for more information, White papers or demo. Just reach out, and we’ll get back to you soon.