AI-Powered Lung Digital Twin Platform Announced by LTTS and Nvidia Ahead of RSNA 2025

TLDRs ;

• LTTS and Nvidia jointly unveiled an AI-driven lung digital twin platform designed to enhance bronchoscopy planning and respiratory diagnostics.
• The system transforms CT scans into detailed 3D lung models, offering clinicians interactive airway and lesion visualization for planning.
• Despite its potential, the platform lacks FDA clearance, CE marking, and independently published clinical validation data.
• Rising demand for PACS integration and GPU-powered hospital systems may accelerate adoption of AI-based bronchoscopy planning tools.

L&T Technology Services (LTTS), one of India’s leading engineering and digital innovation firms, has unveiled a new AI-powered lung digital twin platform developed in collaboration with Nvidia.

The announcement comes just ahead of the Radiological Society of North America (RSNA) 2025 annual meeting, where the platform will be showcased to global clinicians, radiographers, and medical AI developers.

LTTS says the digital twin system is designed to transform traditional CT imaging workflows by generating high-fidelity, three-dimensional models of the patient’s lungs.

Using Nvidia’s advanced AI toolkits and GPU acceleration, the platform reconstructs detailed digital replicas capable of visualizing airway structures, blood vessels, lung lobes, and potential lesions. The company claims this approach will give pulmonologists and thoracic surgeons a clearer, more navigable view of patient anatomy before performing procedures such as bronchoscopy.

AI Visualization Built for Lung Disease Planning

The digital twin is primarily aimed at supporting planning and visualization for conditions such as lung cancer, chronic obstructive pulmonary disease (COPD), and infectious respiratory diseases, areas where clinicians frequently rely on CT scans for early detection and intervention.

LTTS describes the platform as an interactive workspace where specialists can examine anatomical pathways, gauge lesion proximity, and determine optimal routes for biopsies or minimally invasive interventions.

According to the company, the system could help reduce uncertainties in bronchoscopy planning, particularly when accessing peripheral lung nodules, a known challenge for clinicians.

Nvidia’s GPU-accelerated AI pipeline enables rapid rendering and segmentation, offering clinicians smoother, real-time manipulation of the 3D models.

While the development aligns with global trends toward personalized medicine, digital anatomy reconstruction, and AI-augmented surgical planning, LTTS has not yet disclosed clinical accuracy benchmarks or independent performance evaluations.

Regulatory Path Still Undefined

Despite its technological promise, the platform enters a highly competitive field where regulatory validation is a critical gatekeeper.

LTTS has not provided details on FDA 510(k) clearance, CE marking in the European Union, or Software as a Medical Device (SaMD) classification.

Without formal regulatory disclosure or clinical trial data, hospitals may be cautious about deploying the system in real patient care environments.

Comparatively, established players already hold regulatory approvals in adjacent markets. Johnson & Johnson’s MONARCH QUEST bronchoscopy navigation platform and Thirona’s LungQ CT analysis suite both have FDA 510(k) clearance, setting performance and compliance expectations that new entrants must match.

LTTS’s digital twin, however, currently lacks publicly available evidence or registered pilots, leaving its clinical pathway open but unproven.

Growing Demand for PACS Integration and GPU Infrastructure

Even with regulatory uncertainties, analysts say the platform lands at an opportune moment. Hospitals upgrading their CT-guided bronchoscopy workflows are increasingly prioritizing PACS/DICOM integration, GPU edge computing appliances, and secure cloud-ready AI environments.

These upgrades make institutions more receptive to advanced visualization tools, especially those built on Nvidia’s ecosystem.

System integrators, cloud security providers, and medical imaging software vendors may find new partnership opportunities as hospitals look for AI-ready pipelines. LTTS’s prior collaborations, including its digital twin center of excellence with Altair, hint at broader plans to support enterprise-grade deployments beyond a single product launch.

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