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Questions

All Your Questions, Answered

Discover quick and comprehensive answers to common questions about our platform, services, and features.

How frequently and by what means are the artificial intelligence models within OncoStudio updated through learning?

Internally, we continuously retrain the model with additional data, provide updates to the architecture, and validate the model. Once the model has been validated internally, we periodically deploy it

Does the OncoStudio system use 2D or 3D algorithms, and what are their characteristics?

In the past, we mainly utilized 3D models. However, 2D models offer advantages in detail resolution due to the absence of GPU memory constraints, although they may encounter connectivity issues between slices. On the other hand, 3D models often excel in connectivity but may have limitations in detail resolution. In the new development version, we aim to enhance the efficiency of AI model inference, leveraging the strengths of both 2D and 3D models while mitigating their weaknesses.

Currently, OncoStudio operates on local servers within institutions. Are there any plans to offer cloud-based services in the future?

Yes, we are currently developing a new version of OncoStudio, and we plan to introduce a cloud-based product in 2026.

Is it possible to add a new organ to the list of organs provided by OncoStudio upon user request?

Absolutely. If the requested organ is deemed critical for radiation therapy in a general context, we can prioritize it in our internal labeling tasks and provide updates accordingly. However, updating the AI model requires hundreds of data samples, so the process may take several months. Collaboration in research can expedite this process, and we welcome any partnership requests!

Could you provide information on the expansion plans for OncoStudio's artificial intelligence models?

Currently, we provide over 190 normal organs and clinical target volumes (CTV) based on CR and MR imaging. By 2025, we aim to expand our offerings to include over 300 structures. Additionally, we are developing AI models for various imaging techniques such as Cone-beam CT (CBCT), and Megavoltage CT (MVCT), which will be distributed to users through license renewals in the near future. In the long term, we are also working on providing automatic segmentation information for Gross target volume (GTV)!