BATS: A Blockchain and AI-Empowered Drone-Assisted Telesurgery System Towards 6G

Artificial Intelligence (AI) has great potential in diverse real-time mission-critical applications and one such application is telesurgery or robotic surgery. However, some issues like security, throughput, reliability, trust, and transparency are still challenging in an AI-enabled telesurgery system. Motivated from these challenges, in this paper, we propose a blockchain and AI-empowered telesurgery system towards 6G called BATS, which is a self-manageable, secure, transparent, and trustable system with massive Ultra-Reliable Low-Latency Communication (mURLLC). BATS uses AI algorithms such as eXtreme Gradient Boosting (XGBoost) to classify the disease with their criticality score ranging from 0 to 1. Moreover, BATS uses UAVs to transport light-weight healthcare items such as medicines and surgical tools in an emergent situation (during surgical procedures) to avoid road-traffic congestions. Results show that the proposed BATS scheme achieves better prediction accuracy, high throughput when the number of users increases, extremely low packet loss ratio, low storage cost, high mining profit, and low bandwidth consumption by the InterPlanetary File System (IPFS) compared to the traditional HaBiTs and AaYusH schemes.

Automated summary

The BATS system proposed in this paper is a remote surgery system based on blockchain and AI, which can classify diseases and transport medical supplies using drones in emergency situations, demonstrating better performance compared to traditional schemes.