The solution aims to solve industry-wide challenges of availability, cost, and dependencies linked to custom and proprietary hardware components with the help of a scalable platform that supports multiple applications, providing a real-time decision-making tool for the medical fraternity.
“Developed from the ground up, the architecture boasts an image processing pipeline for noise reduction, edge and contrast enhancement, texture and colour enhancement, and speckle correction,” LTTS said in the filing. “What sets it apart is its inclusion of AI/ML models developed for the detection, identification, and classification of polyps – abnormal growths often found during colonoscopies,” it said.
Besides user-friendly interface and seamless integration of the image processing pipeline for visualisation, it promises low-latency data transfer, superior image processing without performance bottlenecks, and scalability.
The collaboration leverages the Nvidia Holoscan and Nvidia IGX Orin platforms, featuring ultra-low latency in data transfer, superior image processing, and scalability to support multiple AI-enabled applications.
“The combination of LTTS’ expertise in medical-device development and Nvidia’s full-stack edge AI computing platform delivers unprecedented value to the medical technology industry by accelerating the development of AI-enabled, software-defined medical devices,” said Shanker Trivedi, senior vice president of enterprise business at NVIDIA.Amit Chadha, CEO and managing director of L&T Technology Services, said, “This collaboration provides a complete solution for customers looking to transition to a software-defined business model via real-time AI applications… Our collaboration with Nvidia helps us push the boundaries of what’s possible in medical imaging.”The platform accelerates the development of AI-powered medical imaging solutions by enhancing image quality and real-time clinical decision-making support, making clinicians more efficient and improving patient outcomes, Chadha said.