L&T Technology has launched its NVIDIA-powered AI digital twin platform for lung navigation, surgical planning, and respiratory diagnostics.

The platform integrates with computed tomography (CT) imaging workflows directly and uses deep learning models to reconstruct 3D digital twins of patient lungs.

It allows clinicians to visualise patient-specific anatomy and simulate procedural pathways for bronchoscopy and biopsy planning.

The platform is built upon Nvidia’s physical AI infrastructure. It incorporates NVIDIA Omniverse and OpenUSD for interactive 3D visualisation, supporting immersive exploration of intricate anatomical structures.

NVIDIA TensorRT powers optimised AI inference performance for high-speed clinical workflows while NVIDIA MONAI enables advanced segmentation for automated identification of vessels, airways, lobes, and tumours.

Through these advancements, L&T Technology converts static CT scans into dynamic models suitable for simulation. This enables clinicians to examine anatomical structures, plan surgical routes, and perform bronchoscopic procedures with more accuracy.

The framework supports volumetric analysis, automated segmentation, advanced visualisation, and navigation path planning to improve pre-operative planning efficiency and procedural safety.

L&T Technology CEO and managing director Amit Chadha said: “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 visualise lung anatomy, plan interventions, and deliver precision care. The impact will be visible across the global healthcare ecosystem in the years ahead.”

Nvidia's healthcare and medical technology business development head David Niewolny said: “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 visualise anatomy in 3D, simulate procedures and plan clinical interventions with greater confidence.”

Earlier this month, Droplet Biosciences reported a reduction in genomic analysis turnaround time for residual cancer detection by adopting graphics processing unit (GPU)-accelerated workflows using NVIDIA Parabricks software.