Title : Bridging the data interoperability gap in digital surgery
Abstract:
Short Description of what will be discussed during the presentation (about 250 - 500 words) Next-generation surgical robotics are transforming minimally-invasive procedures by leveraging the convergence of AI/ML, data analytics and visualization technologies. These interconnected, intelligent systems are enabling more precise, predictive and automated procedures in the digital operating room. Intelligent connectivity is making this possible. Siloed and closed system technology create a data interoperability gap that limits the ability for AI-powered systems. Surgical systems are beginning to transition to a more open system architecture that enables seamless data sharing across data sources, applications, and networks. This connectivity is not easy, nor automatic. System architectures must be datacentric: designed to accommodate real-time data flow across diverse systems while adhering to evolving safety and security requirements. Data-centric connectivity bridges the interoperability gap across disparate hardware and software subsystems and opens up the development possibilities in designing and operating next-generation surgical systems. This presentation will discuss a standards-based approach to data-centric connectivity in order to enable the necessary real-time information flow to enable next-generation intelligent surgical systems.
