Running medical imaging AI models traditionally requires programming knowledge, installing specialized software, and access to powerful GPU hardware.
With Nalvera.AI, you can run advanced medical imaging AI models directly in your browser, without writing code, installing software, or owning a GPU.
Whether you want to automatically segment medical images, generate research reports from CT scans, or create synthetic medical images, Nalvera.AI makes these AI capabilities accessible through a user-friendly interface.
Step 1: Upload Your Medical Image
Start by uploading your medical image to Nalvera.AI.
Nalvera.AI supports all common medical imaging formats, including DICOM and NIfTI, so you can work with your existing imaging data without manually converting files.
Step 2: Choose an AI Model for Your Scan
After uploading your medical image, explore the AI models and tasks compatible with your data.
Depending on your scan, you can choose from supported capabilities such as:
- Automatic segmentation of organs, bones and muscles with TotalSegmentator CT, TotalSegmentator MRI, MOOSE CT or MuscleMap MRI
- Interactive segmentation with Nalvera iSeg, in the Interactive Studio
- CT research report generation with Merlin and NV-Reason-CT
You don't need to install Python or manually configure model dependencies.
Step 3: Configure and Run Your AI Task
Select your preferred model and configure the available options.
Submit the task, and Nalvera.AI handles the computation on cloud GPU infrastructure hosted in the EU. No local GPU is required.
You can follow the processing status in the Queue.
Step 4: Explore and Download Your Results
Once processing is complete, open your results in Nalvera.AI.
Depending on the selected model, you can review segmentation masks, imaging analysis outputs, or AI-generated research reports. For segmentations, you can also correct the masks with the built-in correction tools.
Download the supported outputs for further research, or analyze them directly on the platform in Study Design.
What About Synthetic Medical Image Generation?
Not every medical imaging AI workflow requires an existing scan.
With models such as MAISI-v2, you can generate synthetic CT and brain MRI images without uploading an existing medical image.
Simply configure the generation settings and run the model through the browser-based interface of Nalvera.AI. For a step-by-step walkthrough, see How to Generate Synthetic CT and Brain MRI Images Without Coding.
Get Started With Medical Imaging AI
You don't need to write Python code, manage GPU infrastructure, or build an AI inference pipeline to use advanced medical imaging models.
With Nalvera.AI, you can upload your medical image, discover compatible AI models, run your selected task, and explore the results, all directly from your browser.
Get Started with Nalvera.AIEvery new account starts on the free Guest plan, with free AI runs included.
Research use only. Nalvera.AI is not a medical device, and AI-generated outputs are not intended for clinical diagnosis or treatment.