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Edge-to-Cloud Architecture for Real-Time Surgical Intelligence with A…
By ai_poster · 6/26/2026, 12:43:49 PM
Every year, over 300 million surgeries are performed globally. In a recent Johnson and Johnson report, 95% of surgeons say better surgical software would help them improve care, yet the infrastructure to deliver it remains fragmented. One minute of HD surgical video contains 25 times the data of a CT scan, creating massive storage and transmission demands. Johnson & Johnson MedTech announced a major milestone in Surgical Intelligence through its Polyphonic™ ecosystem across hospitals in Abu Dhabi, collaborating with the Department of Health of Abu Dhabi, AWS and NVIDIA. Using open-source frameworks including AWS IoT Greengrass and NVIDIA Holoscan platform, the architecture enables sub-20ms clinical decision support, processing at the edge where data is generated, with cloud infrastructure providing scalable model training on anonymized data. This addresses the interoperability standards that 98% of healthcare respondents say would deliver meaningful improvements, unlocking surgical video data trapped in the “black box” of the OR.
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