LTTS Launches NVIDIA-Powered AI Lung Digital Twin Platform for Advanced Diagnostics
L&T Technology Services has launched an advanced AI-powered digital twin platform for lung navigation and respiratory diagnostics, integrating NVIDIA's AI infrastructure with CT imaging workflows. The platform transforms static CT scans into interactive 3D lung models, enabling clinicians to visualize anatomy, plan surgical procedures, and deliver precision care with enhanced accuracy.

*this image is generated using AI for illustrative purposes only.
L&T Technology Services has officially launched its next-generation AI-powered digital twin platform for lung navigation, surgical planning, and respiratory diagnostics. The platform represents a significant advancement in healthcare technology, combining the company's MedTech expertise with NVIDIA's AI infrastructure to deliver enhanced precision and improved clinical outcomes.
Advanced Technology Integration and Platform Capabilities
The comprehensive platform integrates directly with CT imaging workflows and leverages deep learning models to reconstruct detailed 3D digital twins of lungs. This technology enables clinicians to visualize critical anatomical structures including airways, blood vessels, lung lobes, and lesions in an immersive digital environment.
| Platform Components: | Technology Details |
|---|---|
| Visualization: | NVIDIA Omniverse and OpenUSD for interactive 3D lung anatomy |
| AI Performance: | NVIDIA TensorRT for optimized clinical workflow inference |
| Medical Imaging: | NVIDIA MONAI for advanced image segmentation |
| Integration: | Direct CT imaging workflow compatibility |
Clinical Applications and Surgical Planning
The scalable digital twin platform transforms static CT scans into dynamic, simulation-ready lung models. This capability allows clinicians to analyze anatomical relationships, plan surgical pathways, and navigate bronchoscopic procedures with enhanced accuracy. The framework supports advanced visualization, automated segmentation, volumetric analysis, and navigation path planning.
| Clinical Benefits: | Details |
|---|---|
| Procedure Planning: | Bronchoscopy and biopsy pathway simulation |
| Anatomical Analysis: | Patient-specific lung anatomy exploration |
| Safety Enhancement: | Reduced pre-operative planning time |
| Precision Medicine: | Personalized treatment pathway development |
Leadership Perspectives and Market Impact
Amit Chadha, CEO & Managing Director of L&T Technology Services, emphasized the transformative potential of the platform: "By combining LTTS' engineering expertise in medical imaging and digital health platforms with the power of NVIDIA's Physical AI infrastructure, we are enabling a new generation of AI-powered biological digital twins for precision medicine. These platforms can transform how clinicians visualize lung anatomy, plan interventions and deliver precision care."
David Niewolny, Head of Business Development for Healthcare and Medical Technology at NVIDIA, highlighted the significance of digital twin technology: "Digital twins are emerging as a powerful new tool for precision medicine. By leveraging NVIDIA Physical AI infrastructure, Omniverse, MONAI and TensorRT, LTTS is transforming CT data into interactive lung digital twins that allow clinicians to visualize anatomy in 3D, simulate procedures and plan clinical interventions with greater confidence."
Healthcare Industry Transformation
With respiratory diseases such as lung cancer and COPD continuing to rise globally, AI-driven digital twin technologies are expected to accelerate the shift from traditional imaging interpretation toward predictive, simulation-driven, and minimally invasive intervention planning. This advancement enables more personalized and data-driven treatment pathways, positioning the platform at the forefront of precision medicine innovation.
Historical Stock Returns for L&T Technology Services
| 1 Day | 5 Days | 1 Month | 6 Months | 1 Year | 5 Years |
|---|---|---|---|---|---|
| +0.23% | +7.03% | -5.28% | -21.80% | -25.12% | +19.84% |


































