Skip to main content
LTTS execs present a 3D lung digital twin on a screen next to NVIDIA logos, with engineers and a doctor watching.

Editorial illustration for LTTS LTTS Unveils-nvidia-I Powered Digital Digital Twin for Advanced RespiratoryBoard Diagnostics ics Human: Would you like to explain why you'm...

LTTS Creates NVIDIA AI Digital Twin for Lung Diagnostics

LTTS launches NVIDIA-powered digital twin for respiratory diagnostics

Updated: 3 min read

Medical technology is taking a significant leap forward in respiratory diagnostics. L&T Technology Services (LTTS) has developed an new digital twin platform powered by NVIDIA's advanced AI technologies, promising to transform how doctors analyze and plan complex respiratory procedures.

The new platform targets a critical challenge in medical imaging: providing clinicians with unusual visual insights into the human respiratory system. By combining sophisticated image segmentation with interactive simulation capabilities, LTTS is pushing the boundaries of how medical professionals can understand and navigate intricate lung structures.

Respiratory diagnostics have long relied on static imaging techniques. But this new digital twin approach offers something dramatically different - a dynamic, interactive model that could revolutionize how bronchoscopy procedures are planned and executed.

The technology isn't just about better pictures. It represents a profound shift in medical visualization, where artificial intelligence transforms complex medical data into actionable, navigable insights for healthcare professionals.

Built on NVIDIA MONAI for medical image segmentation and NVIDIA TensorRT for optimised AI inference, the platform enables detailed visualisation of airways, blood vessels, lobes and lesions, along with interactive simulation and path-planning support for bronchoscopy procedures. LTTS said its engineering capabilities in medical imaging and proprietary navigation systems allow static CT scans to be converted into dynamic, clinically meaningful digital representations that evolve with patient data. The company said such biological digital twins can support planning and navigation for conditions including lung cancer, COPD and infectious diseases.

"AI is reshaping what's possible in diagnostics and medical technology," said Alind Saxena, executive director and president of mobility and tech at LTTS. "Our collaboration with NVIDIA combines LTTS' expertise in AI-driven diagnostics and predictive analytics, with NVIDIA's powerful modeling and visualisation platform. This lets us engineer a digital twin platform that not only enhances diagnostic accuracy but also gives clinicians an immersive, real-time planning tool ultimately helping deliver better outcomes for patients around the world," Saxena added.

David Niewolny, director of business development for healthcare/medical at NVIDIA, said the partnership demonstrates the potential for accelerated computing in clinical workflows. "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," Niewolny said. "LTTS is enabling transformative solutions that bring the vision of real-time AI and biological digital twins powered by NVIDIA to clinical practice, delivering interactive, real-time visualisation and intelligent guidance to help clinicians provide higher-quality care and achieve better outcomes for patients."

Medical imaging just got smarter. LTTS has developed a digital twin platform that transforms static CT scans into dynamic, interactive respiratory models using NVIDIA's AI technologies.

The system goes beyond traditional imaging by converting medical scans into detailed, clinically meaningful representations. It enables precise visualization of airways, blood vessels, lobes, and potential lesions with unusual depth.

Clinicians could gain significant procedural advantages through the platform's interactive simulation and path-planning capabilities. Specifically, the technology supports bronchoscopy procedures by providing more full anatomical insights.

NVIDIA's MONAI and TensorRT power the platform's advanced image segmentation and AI inference capabilities. This suggests a potential shift in how medical professionals might approach respiratory diagnostics and surgical planning.

While the full clinical implications remain to be seen, LTTS's engineering approach demonstrates how AI can transform medical imaging from static snapshots into dynamic, evolving patient models. The digital twin represents a promising intersection of medical expertise and computational idea.

Further Reading

Common Questions Answered

How does LTTS's digital twin platform leverage NVIDIA's AI technologies for respiratory diagnostics?

The platform utilizes NVIDIA MONAI for medical image segmentation and NVIDIA TensorRT for optimized AI inference. It transforms static CT scans into dynamic, interactive respiratory models that provide detailed visualization of airways, blood vessels, lobes, and potential lesions.

What unique capabilities does the LTTS digital twin platform offer for bronchoscopy procedures?

The platform enables interactive simulation and path-planning support for bronchoscopy procedures by converting medical scans into clinically meaningful digital representations. It allows clinicians to gain unusual visual insights into the human respiratory system with unprecedented depth and interactivity.

What makes LTTS's digital twin technology different from traditional medical imaging approaches?

Unlike traditional static imaging, LTTS's platform creates dynamic digital representations that evolve with patient data. The technology goes beyond standard CT scans by providing interactive models that can help clinicians analyze and plan complex respiratory procedures with greater precision.