L&T Technology announced joining hands with NVIDIA to develop software-defined architectures for medical devices focused on endoscopy; this partnership will help push the boundaries of what’s possible in medical imaging.
This new software defines architecture to enhance the image quality and scalability shared by L&T Technology Services Limited (LTTS) in its release. AI/ML models associated with this software will help easily detect, identify, and classify polyps – abnormal growths often found during colonoscopies.
This solution will offer a real-time decision-making tool for the medical fraternity facing challenges, including availability, cost, and dependencies linked to custom and proprietary hardware components. This software is used in several aspects of image processing, including noise reduction, edge and contrast enhancement, texture and color enhancement, and speckle correction. This software has a user-friendly interface and promises low-latency data transfer without performance bottlenecks and scalability. The software can leverage two existing NVIDIA platforms, Holoscan and IGX Orin, for polyp detection and classification. “The combination of the NVIDIA Holoscan software platform for edge AI inference and the NVIDIA IGX Orin hardware 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,” said Amit Chadha, CEO and Managing Director, L&T Technology Services.
Shanker Trivedi, Senior Vice President of Enterprise Business, NVIDIA said, “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.”
L&T Technology Services Limited (LTTS) is a listed subsidiary of Larsen & Toubro Limited focused on Engineering and R&D (ER&D) services, offering consultancy across industrial products, medical devices, transportation, telecom hi-tech, and the process industries.
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