L&T Technology Services Limited (LTTS), a global provider of engineering and technology services, has introduced a next-generation digital twin platform designed to transform lung navigation, surgical planning, and respiratory diagnostics. The solution integrates artificial intelligence with advanced medical imaging to enable clinicians to visualize and interact with patient-specific lung anatomy in unprecedented detail.
The newly launched platform combines LTTS’ expertise in medical technology, imaging systems, and connected healthcare with high-performance AI infrastructure from NVIDIA. This integration enables the creation of highly accurate, three-dimensional digital replicas of the human lungs, offering a powerful tool for clinicians to plan and execute complex procedures with greater precision.
At the core of the platform is its ability to seamlessly integrate with standard CT imaging workflows. Using advanced deep learning models, the system reconstructs a detailed digital twin of the lungs, capturing intricate anatomical structures such as airways, blood vessels, lobes, and lesions. These models allow clinicians to explore patient-specific anatomy in an immersive environment and simulate procedural pathways for interventions such as bronchoscopy and biopsy.
The platform leverages NVIDIA’s advanced computing technologies to deliver high-performance capabilities. Interactive 3D visualization is enabled through NVIDIA Omniverse and OpenUSD, allowing clinicians to examine complex structures in real time. NVIDIA TensorRT enhances the speed and efficiency of AI inference, supporting fast and reliable clinical workflows, while NVIDIA MONAI powers sophisticated medical image segmentation for automated identification of critical anatomical features.
By transforming static CT scans into dynamic, simulation-ready models, the platform enables a shift toward more predictive and data-driven clinical decision-making. Clinicians can analyze anatomical relationships, evaluate multiple procedural approaches, and plan surgical pathways with improved accuracy. The system also supports automated segmentation, volumetric analysis, and navigation path planning, contributing to reduced preoperative planning time and enhanced procedural safety.
The introduction of this digital twin platform reflects LTTS’ commitment to advancing precision medicine through engineering innovation. Company leadership emphasized that the convergence of AI, imaging, and simulation technologies is reshaping how healthcare providers approach diagnosis and treatment planning. The ability to simulate procedures in a virtual environment before actual intervention is expected to improve clinical outcomes and reduce risks.
Industry experts note that digital twin technology is gaining momentum as a key enabler in modern healthcare. With respiratory diseases such as lung cancer and chronic obstructive pulmonary disease (COPD) on the rise globally, there is an increasing need for advanced diagnostic and planning tools. AI-driven platforms such as this are expected to accelerate the transition from traditional imaging interpretation toward simulation-based and minimally invasive treatment strategies.
LTTS continues to expand its presence in digital health and MedTech innovation, leveraging its global engineering capabilities to address evolving healthcare challenges. As a subsidiary of Larsen & Toubro, the company provides design, development, testing, and lifecycle management services across multiple industries, including medical devices and healthcare systems. With a workforce of over 23,000 professionals and a strong global footprint, LTTS serves a diverse customer base that includes leading multinational corporations.
The launch of the lung digital twin platform marks a significant step forward in integrating AI with clinical workflows. By enabling more personalized, data-driven treatment planning, the solution is expected to play a vital role in shaping the future of respiratory care and precision medicine.
