Abstract: [Purpose/Significance] The integration of generative artificial intelligence is revolutionizing online medical services, especially through human-AI hybrid interactions. It is imperative to prospectively examine evolutionary patterns and developmental trends of human-AI hybrid interaction in online medical services, paving the way for groundbreaking interdisciplinary research in information management and information science. [Design/Methodology] This paper adopts a longitudinal perspective to systematically explore the theoretical origins, paradigm shifts, and cutting-edge trends in human-AI hybrid interactions within online medical services. [Findings/Conclusion] The evolution of human-AI hybrid interaction in online medical services can be divided into three key stages: instrumental rationality, embodied cognition, and data intelligence empowerment. These stages reflect a progression towards a multifaceted paradigm that integrates engineering technology, user behavior, and machine behavior. This paper identifies and explores cutting-edge trends in operational modes, mental models, and synergistic mechanisms, while addressing critical challenges such as AI literacy, algorithmic bias, data privacy, and decision-making transparency. [Originality/Value] By focusing on machine behavior, this paper distills the core propositions of human-AI hybrid interaction in online medical services, aiming to establish a leading frontier direction in research.

Keywords: Online medical services, Human-AI hybrid interaction, AI agents, Machine behavior