Security Analysis and Recommendations for AI/ML Enabled Automated Cyber Medical Systems

摘要

Artificial Intelligence (AI) and remote surgery go together in defining the future of intelligent medicine. Theadvancement of robotic surgery became a possibility by leveraging intelligent sensors, Machine Learning (ML), andreliable wireless connectivity in addition to low-latency response to surgical commands and automated responses topatient's status resulting in an accurate automated system. The trend is to develop cyber-medical systems through theintegration of medical knowledge and engineering applications in order to create customizable intelligent healthcareprocedures. Security plays a critical role while the systems navigate the dynamics of human-controlled connectivityversus autonomy, and remote commands versus automated responses to sensors. The systems need to “learn” fromexperience and transferred knowledge from other systems while protecting against learning from false data. This paperaddresses the Cyber Security risks introduced by adapting the emerging technologies as well as providing potentialsolutions that are based on best practices. The ML model used in cyber medicine should be as simple as possibleproviding the required accuracy to produce the desired outcome, understanding that more complex models have higherchances of suffering the degradation effects of overfitting.