A Methodological Framework for Integrating Artificial Intelligence Agents in Medical Device Design

Abstract

An artificial intelligent (AI) agent uses sensors to perceive and actuators to act upon its task environment. The sensor module provides the perception of the task environment. The actuator module facilitates the agent’s performing actions in the task environment. This research extends the function of a medical device by embedding an AI agent in the medical device during the design process. The research methodology utilizes a generic AI agent with fundamental learning capability and an initial knowledge base. The ability to learn enables the generic AI agent to operate in the initially unknown task environment. After sufficient interactions with the task environment, the agent becomes more competent than its initial knowledge base. The clinical applications are demonstrated through the use of the AI-enabled medical device in surgical training and performance evaluation. DOI: https://doi.org/10.59564/amrj/03.02/0010

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