L&T Technology Services Unveils AI-Powered Digital Twin Platform to Transform Respiratory Diagnostics and Lung Navigation Using NVIDIA Technology
L&T Technology Services Limited, a global leader in engineering, AI, and digital transformation solutions, announced today the development of a groundbreaking AI-powered digital twin platform designed to revolutionize respiratory diagnostics, treatment planning, and lung navigation procedures. This next-generation platform integrates advanced medical imaging, computational modeling, and real-time visualization built on cutting-edge NVIDIA accelerated computing and AI infrastructure, setting a new benchmark for precision healthcare and clinical decision support.
The new digital twin solution, which will debut publicly at the Radiological Society of North America (RSNA) Annual Conference in 2025, represents a major leap forward in pulmonary medicine. By combining LTTS’ deep expertise in platform engineering, AI-driven diagnostics, connected health systems, and visualization technologies with NVIDIA’s MONAI and TensorRT-powered healthcare AI stack, the platform enables highly accurate, real-time modeling of lung anatomy to support life-saving clinical procedures.
Advancing Respiratory Medicine with AI-Driven Digital Twins
The AI digital twin platform converts standard CT imaging into a dynamic, three-dimensional digital replica of the patient’s lung. Using advanced deep learning and segmentation models powered by NVIDIA MONAI, clinicians can visualize complex structures including airways, pulmonary vasculature, lung lobes, and pathological lesions with remarkable clarity and anatomical precision.
Unlike traditional imaging methods that rely on static views, a digital twin functions as a living, evolving representation of the patient, capable of updating over time as new imaging or clinical data becomes available. This supports physicians in planning surgical interventions, navigating bronchoscopic procedures, and tailoring treatments for conditions such as lung cancer, chronic obstructive pulmonary disease (COPD), severe infections, and other life-threatening respiratory disorders.
“This technology transforms the way physicians interact with patient imaging data,” explained an LTTS spokesperson. “Instead of working from two-dimensional slices or static reconstructions, clinicians gain access to an immersive, interactive model that mirrors real human anatomy and responds intelligently to clinical analysis.”
Powered by NVIDIA AI for Real-Time Clinical Performance
To meet the demands of high-speed medical decision-making, LTTS’ platform leverages NVIDIA TensorRT for optimized AI inference, enabling fast and scalable processing even when handling extremely large image datasets. This reduces latency significantly compared to traditional GPU-based workflows, enabling near-real-time results during diagnosis or surgical planning sessions.
As medical imaging datasets grow more complex and surgical navigation requires millimeter-level accuracy, the ability to process and visualize data instantaneously becomes critical. The combination of NVIDIA’s accelerated computing, domain-specific healthcare AI frameworks, and LTTS’ proprietary navigation systems provides a breakthrough foundation for delivering advanced digital twin capabilities in clinical practice.
The platform also integrates seamlessly with existing CT imaging systems and electronic health record environments, ensuring adoption does not require extensive infrastructure overhaul.
Driving New Possibilities for Physicians and Patients
By enabling an intelligent and interactive representation of a patient’s respiratory structures, LTTS expects the platform to significantly change clinical outcomes. Real-time navigation capabilities allow pulmonologists and surgeons to plan bronchoscopic pathways with far greater accuracy, minimizing unnecessary tissue damage and improving the likelihood of successful intervention on small, difficult-to-reach lesions.
The system also has the potential to:
- Reduce procedure times and complication risks
- Improve early diagnosis of lung cancers and obstructive diseases
- Reduce clinical workloads through automated segmentation and planning
- Help standardize complex procedures across skill levels
- Expand access to advanced respiratory care globally, including remote or resource-limited settings
Leadership Perspectives on Transforming Healthcare with AI
“AI is reshaping what’s possible in diagnostics and medical technology,” said Alind Saxena, Executive Director and President of Mobility and Tech at L&T Technology Services. “Our collaboration with NVIDIA brings together LTTS’ expertise in AI-driven diagnostics, modeling, and predictive analytics with NVIDIA’s powerful accelerated computing and visualization platforms. Together, we are building an AI-enabled digital twin system that not only enhances diagnostic accuracy but gives clinicians an immersive, real-time planning tool that can ultimately help deliver better outcomes for patients around the world.”
Saxena noted that by building a digital environment where clinicians can simulate real-world procedures, predict outcomes, and adjust treatment pathways, LTTS aims to bring engineering precision to medicine:
“This is not just a visualization tool—it’s a full spectrum decision-support ecosystem that allows surgeons and pulmonologists to rehearse procedures virtually before entering the operating room.”
David Niewolny, Director of Business Development for Healthcare and Medical at NVIDIA, emphasized how collaborations such as these advance the broader mission of AI-powered healthcare transformation:
“Working with LTTS to accelerate the development of AI-enabled medical technology demonstrates how NVIDIA is empowering the healthcare industry with accelerated computing and AI innovation. LTTS is enabling transformative solutions that bring the vision of real-time AI and biological digital twins to clinical practice—delivering intelligent guidance and real-time visualization that helps clinicians provide higher-quality care and achieve better outcomes for patients.”
Transforming the Future of Respiratory Medicine
Respiratory diseases are among the leading global causes of mortality, with lung cancer alone responsible for more deaths than any other cancer worldwide. Early detection, localization accuracy, and surgical planning are often the biggest challenges. Many patients receive diagnoses too late due to complexity in identifying and accessing microscopic tumors within branching airway structures.
By generating millimeter-accurate digital models of the lung that clinicians can explore in three-dimensional space, LTTS’ platform offers the ability to transform the standard of care. A digital twin-driven workflow can reduce guesswork in navigation, improve biopsy success rates, and support minimally invasive approaches that preserve healthy lung tissue.
As medical systems everywhere struggle with clinician shortages and uneven access to advanced care, AI-powered tools that shorten learning curves and automate complex workflows hold particularly powerful potential.
A Collaborative Roadmap for Global Deployment
The platform will be previewed at RSNA 2025, where LTTS will demonstrate the digital twin’s real-time visualization and procedure-planning capabilities. Additional development stages will refine system performance and incorporate feedback from pulmonologists, thoracic surgeons, and medical imaging specialists.
Over the next several months, LTTS plans to expand pilot programs within hospitals and research institutions, validating the technology’s clinical impact and preparing for broader commercial deployment.
Saxena reaffirmed LTTS’ long-term commitment to healthcare innovation:
“Digital twins represent the future of personalized medicine. With AI, we can build tools that learn from every patient, adapt continuously, and evolve with global clinical knowledge. Our mission is to bring engineering excellence to healthcare and support the clinicians who save lives every day.
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