MOZI TPS
Overview
MOZI TPS (MOZI Treatment Planning System) is a next-generation AI-powered software solution designed for radiation oncology. It combines precision, speed, and adaptability for radiotherapy treatment planning. The system features a Monte Carlo Dose Engine for high-precision dosing, GPU-powered computation for fast processing, and vendor independence, supporting multiple accelerator types. MOZI TPS offers seamless automation, including AI-driven automated contouring and planning, and revolutionary on-line adaptive planning for real-time adaptation to patient anatomical changes. It supports various treatment techniques such as 3D-CRT, IMRT, VMAT, SBRT, and CBCT/MRI-guided on-line adaptation. Its core functions encompass image processing, structure delineation, plan design, optimization, and evaluation for patients with malignant or benign diseases requiring external beam irradiation with photon beams.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Monte Carlo Dose Engine
- GPU-powered Computation
- Vendor Independence (supports multiple accelerator types)
- Seamless Automation (automated contouring and planning)
- Revolutionary On-line Adaptive Planning (real-time adaptation)
- Multi-Scenario Support (3DCRT, IMRT, VMAT, SBRT, On-line Adaptive)
- Deep Learning based Auto-Planning
- Image Processing
- Structure Delineation
- Plan Design, Optimization, and Evaluation
Use Cases
- Radiotherapy treatment planning for malignant diseases
- Radiotherapy treatment planning for benign diseases
- External beam irradiation with photon beams
- On-line Adaptive Radiation Therapy (ART) workflow
- Automated contouring of anatomical structures
- Dose calculation and optimization
What Physicians Need to Know
Leverage MOZI TPS for its advanced AI-driven automation in contouring and planning to significantly reduce manual workload and improve efficiency in radiation therapy. Utilize its real-time adaptive planning capabilities for personalized patient care, especially for cases with anatomical changes. Explore the AccuLearning module to customize deep learning models to your specific clinical protocols and patient populations, ensuring the system aligns with your institutional standards and evolving needs. While the system excels in treatment planning, remember that it is a specialized tool for radiation oncology and does not provide general diagnostic or drug interaction support.
MOZI TPS is designed for vendor independence, supporting multiple accelerator types and seamlessly integrating into existing clinical workflows. Its interoperability allows for comprehensive radiation therapy solutions, including image-based treatment planning, QA/QC, and Adaptive Radiation Therapy (ART), with AI and Monte Carlo integration. It supports various imaging modalities like CT, MRI, and PET-CT for accurate multimodal alignment and plan review across different TPS systems.
Details
| Category | Oncology AI, Surgical AI |
| Pricing | Contact for pricing |
| Deployment | Standalone software |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
1 AI-estimated MOZI TPS is a Class II medical device under regulation 21 CFR 892.5050, cleared by the U.S. FDA via 510(k) premarket notification (K223724) on July 10, 2023. It is indicated for planning radiotherapy treatments for patients with malignant or benign diseases using external beam irradiation with photon beams. |
| Integrations | |
| EHR | Not specified |
| Specialties | Oncology |
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Videos
Product demos, reviews, and walkthroughs for MOZI TPS.
Office Hours with David Pudwill - UCSD Regulatory Submissions for Medical Devices on June 29, 2024
