The Next Generation of Digital Human Twins
Synthetic Patients including CT/MRI, segmentation, and 3D anatomical models generated from anonymised clinical-grade data
High-Fidelity Digital Human Twins for AI, Simulation & Clinical Innovation
Powered by Visible Patient Lab, a leader in 3D anatomical modelling used worldwide in clinical routine.
Synthetic Patient generates high-fidelity synthetic patients including medical imaging, segmentation, and 3D anatomical models.
Designed for AI development, simulation, and clinical innovation, because real medical data is scarce, sensitive, and difficult to access.
What is Synthetic Patient, the Digital Human Twin?
Synthetic Patient is a high-fidelity Digital Human Twin designed to reproduce human anatomy and pathology for AI development,simulation, and clinical innovation.
Each Synthetic Patient is built from a database of clinical‑grade, anonymous real clinical cases composed of:
- A medical image (CT or MRI)
- The associated labelled image
- The resulting 3D modelling of anatomical and pathological structures
Each resulting Synthetic Patient is composed of the same three components:
- A highly realistic synthetic medical image (CT or MRI)
- The associated labelled image
- The associated 3D modelling of anatomical and pathological structures
At its core, our generation engine reproduces anatomical and pathological variations with medical-grade precision —ensuring consistency, realism, and usability across applications.
Key takeway
- A reliable, scalable alternative to real patient data. For AI training, simulation, and research.
What’s inside a Synthetic Patient
- Synthetic CT or MRI
- Fully labelled datasets
- High-resolution 3D organ models
- Integrated pathology context
Why choose Synthetic Patient?
- Powered by Clinical-Grade Imaging
- Synthetic patients are generated from real‑world medical images. While the synthetic patients themselves are not clinically validated, using clinical-grade source imaging ensures high anatomical fidelity and structural realism.
- High‑quality medical realism
- By leveraging clinical-grade medical images as the foundation, SP delivers high‑quality anatomical and imaging realism, supporting accurate representation of organs, tissues, and imaging characteristics.
- Pathology‑Faithful Synthetic Twins
- Synthetic patients preserve and represent pathology present in the clinical source imaging, without introducing artificial pathology.
- Market‑Leading Vascular Precision
- Highly detailed vascular structures support advanced applications, including device testing, procedural simulation, and radiomics‑driven research.
- Compliant, Ethical, and Privacy-Preserving
- Since the datasets are composed entirely of synthetic patients, they contain no real patient data. This removes dependency on patient consent, data access limitations, and regulatory constraints.
- Controlled & Reproducible Generation
- Patented technology enabling consistent, traceable, and reproducible synthetic datasets creation, designed to support reliable AI development and validation.
- Sustainability
- Synthetic Patient delivers higher image quality with up to 95% lower CO₂ emissions and energy usage compared with leading software solutions on the market.
What we offer
Ready to use Synthetic Dataset
Pregenerated synthetic datasets available for immediate use, designed to support rapid experimentation, development, and evaluation.
Custom Synthetic Datasets from Our Image Library
Synthetic datasets generated on request, built from our curated medical imaging library, tailored to specific anatomical, modality, or application needs.
Custom Synthetic Datasets from Client‑Provided Images
Synthetic datasets generated on request using images supplied by the client, preserving the anatomical structures and pathology present in the source data while ensuring full privacy and compliance.