Ansys and NVIDIA Demo Recent In-Silico Cardiovascular Research

Ansys and NVIDIA unveiled at NVIDIA GTC 2025 a new technology framework allowing ability to design solutions using AI, advanced simulation, and physically-based visualization. Converging Ansys and NVIDIA open-source technologies enables customized workflows. Ansys applied this framework to demonstrate how it can empower clinicians to analyze human heart anatomies in extreme detail. The companies jjointly demonstrated this research at NVIDIA GTC. 

PyAnsys is a collection of open-source Python libraries that bridge Ansys tools and the Python scripting language, making it easier to run simulations, modify geometries, and process results automatically. NVIDIA NIM—a set of inference microservices for developers to easily deploy AI models—enables Ansys users to connect with large language models (LLMs), in this case via a chatbot.

Prompting the chatbot with specific queries about the model triggers the LLM, trained with selected PyAnsys libraries, to auto-generate customized PyAnsys code. This enables high-fidelity simulation and visualization within applications built on NVIDIA Omniverse, allowing non-experts to forgo learning the underlying complex system of tools needed for simulation.

Simulation users can script existing models with Python and train an LLM for context-specific learning, empowering non-experts to obtain the same simulation insights more easily through a customized or chat-based user interface.

The demonstration showed how the framework can enable tailored treatments and outcome predictions for those with cardiovascular disease. From within the “PyAnsys-Heart” library, a clinician can ask the chatbot, “What does my patient’s heart look like?” “PyAnsys-Heart” will generate code for that specific patient’s heart, enabling a partial or full anatomical model in LS-DYNA. The model can then be visualized in an application developed with Omniverse for visualization.

This collaboration sets the foundation for Ansys and NVIDIA to jointly leverage new tools and workflows for creating high-fidelity, multi-modality, multi-scale physics and physiological simulation for use with NVIDIA Isaac for Healthcare. Isaac for Healthcare is an AI robotics development platform that helps developers design, test, and deploy advanced AI-driven robotic and autonomous systems specifically for healthcare settings and applications.

“Ansys is committed to helping its customers innovate, and that means enabling rapid testing and deeper insights to instill confidence in product performance,” says Prith Banerjee, chief technology officer at Ansys. “It also means that simulation should be accessible by more than a few specialists within an organization. Ansys and NVIDIA recognize this, and our open ecosystem approach to digital engineering and product development sets the standard for collaboration, and as evidenced by our demonstration, has transformative potential for cardiac care and beyond.”

“The collaboration with Ansys is foundational to accelerating the next generation of medical imaging and robotics,” says Rev Lebaredian, vice president of Omniverse and simulation technology at NVIDIA. “The power of advanced GPU computing, physical AI, and simulation will shape the future of personalized healthcare.”

Sources: Press materials received from the company and additional information gleaned from the company’s website.

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