Oncospace
Overview
Oncospace, now rebranded as Plan AI by Sun Nuclear, is a groundbreaking AI-powered data-mining system designed to enhance radiation therapy planning. Developed by Dr. Todd McNutt and his team at Johns Hopkins, it leverages artificial intelligence and machine learning to analyze the experiences of thousands of patients, helping radiation oncologists and dosimetrists craft optimal treatment plans tailored to individual needs while minimizing side effects.
The system provides an AI ‘assistant’ that predicts ideal doses and automatically creates AI-guided optimization objectives, integrating seamlessly with existing treatment planning systems like Varian Medical Systems® Eclipse™ and RaySearch RayStation®. Oncospace also offers a ‘Gateway’ solution for converting patient archives between different treatment planning systems.
Acquired by Sun Nuclear in April 2025, Plan AI aims to standardize and accelerate planning across institutions, ensuring high-quality, safe treatment and significantly streamlining workflows.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- AI and machine learning for radiation therapy planning
- Predicts ideal dose and automatically creates AI-guided optimization objectives
- Integrates with Varian Medical Systemsu00ae Eclipseu2122 and RaySearch RayStationu00ae
- Treatment Planning Conversion (Gateway) for system migration
- Predictive Plan Quality and Feasibility solution
- Ready-to-use, FDA-cleared models trained on over 5,000 diverse cases
- Cloud-based solution with enterprise-grade data security
- Streamlined and intuitive interface for planning workflow
- Supports expert planners by reducing variability and improving consistency
- Provides patient-specific insights on achievable goals
Use Cases
- Enhancing and standardizing radiation therapy planning
- Optimizing patient outcomes in cancer treatment
- Guiding dosimetry planning and plan optimization
- Converting patient treatment planning archives between systems
- Reducing planning time for radiation oncology teams
- Improving consistency and quality of treatment plans
What Physicians Need to Know
For radiation oncologists and dosimetrists, Oncospace (Plan AI) can serve as a powerful AI assistant to quickly generate optimized treatment plans, predict achievable dose goals, and minimize side effects. Leverage its FDA-cleared, pre-built models to standardize and elevate plan quality across your practice, especially for common cancer types. The system's ability to provide patient-specific insights before planning begins can significantly streamline your workflow and improve communication within the treatment team. Ensure your team is trained to interpret the AI-guided objectives and integrate them effectively with clinical judgment.
Oncospace (Plan AI) is designed for seamless, script-based integration with major existing Treatment Planning Systems (TPS) like Varian Eclipse and RaySearch RayStation, preserving your current optimization workflows. Its 'Gateway' component is particularly valuable for facilities migrating from older systems like Philips Pinnacle, ensuring legacy patient data remains accessible and usable in modern DICOM formats. This focus on interoperability minimizes disruption and maximizes the utility of your existing infrastructure while enhancing it with AI capabilities.
Details
| Category | Oncology AI |
| Pricing | Unknown |
| Deployment | Cloud-based |
| Compliance | |
| BAA Available | Yes AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
1 AI-estimated Plan AI (formerly Oncospace) has received FDA 510(k) clearance for multiple cancer types, including prostate, head and neck, thoracic, abdomen, and female pelvis radiotherapy. |
| Integrations | |
| EHR | Not specified |
| Specialties | Oncology |
What the Web Says
Oncospace, now rebranded as Plan AI under Sun Nuclear, is an AI-powered software designed to enhance radiation therapy planning. It leverages data from thousands of patient experiences to create optimal, personalized treatment plans, aiming to minimize side effects and improve efficiency. Physicians have found the auto-plans delivered by Oncospace to be superior to their original plans and the interface intuitive and useful.
Overall: PositiveStrengths
- Delivers higher-quality, patient-specific radiation treatment plans.
- Streamlines workflow and peer review in radiation therapy planning.
- Reduces toxicities and improves quality of life for patients.
- Provides an advanced, validated model from day one, unlike other systems requiring hospitals to build models from scratch.
- Offers a user-friendly and intuitive interface.
- Helps ensure consistency and built-in safety checks in treatment planning.
Limitations
- Challenges exist in data security when using medical data for training, though Oncospace aims to mitigate this by generating mathematical shape-relationship features that don't involve much identifiable information.
- Initial skepticism from users regarding AI in radiation therapy, which can be overcome by demonstrating its effectiveness.
Based on reviews from: Medium, Johns Hopkins Medicine, Physics World, Business Wire
Last updated: 2026-07-18
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