Hang Siang Wong

Abstract Current predictive models for pregnancy and infant outcomes often focus on limited endpoints and rely on costly tests or imaging. Here we developed the Mother-Child AI Agent (MoChiAgent), an LLM-based clinical assistant that orchestrates multiple tools to integrate sequential electronic health record (EHR) data, including routine laboratory tests, for forecasting maternal and infant diseases.

1 Introduction Intelligent wireless technologies are at the forefront of evolving from mere digital connectivity to seamlessly-smart connections among diverse entities like robots, machines, vehicles, and humans. They enhance the functionalities of current networks, laying the groundwork for future wireless communication systems which require the incorporation of high-speed sensing and imaging to fulfill the requirements of the next-generation wireless networks as well as 6G.

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