A secure artificial intelligence-enabled data fusion solution for surgical systems with blockchain technology: a real-time risk mitigation and control monitoring

The Da Vinci Surgical Systems, a leading platform for minimally invasive robotic surgeries that relies on real-time data fusion from several sensors to increase precision, security, and efficiency. Threats including tampering, delay, and unauthorized access could jeopardize the integrity, security, and dependability of this crucial data, which could have a negative impact on patient outcomes in terms of treatment. This paper proposes a novel framework to integrate Hyperledger Sawtooth, a blockchain modular infrastructure propose by Linux. It collaborates with the data fusion procedure in order to maintain the current environment of Da Vinci platform. The proposed solution ensures secure and immutable data sharing and exchange across interconnected components, including robotic arms, haptic feedback systems, and imaging equipment, by leveraging a blockchain consortium network. Technology like Hyperledger Sawtooth, is used because of its flexible modular hierarchy due to the predefined consensus mechanism and protocol design, which allow for low-latency operations that are essential for real-time surgical applications.