Core Insights - The emergence of "expert intelligent agents" is becoming a focal point in the new wave of medical AI model competition, aiming to enhance the accessibility of quality medical resources while emphasizing that these agents cannot replace human experts in diagnostic decision-making [1][2][4] - The market for medical AI models in China is projected to reach nearly 2 billion yuan by 2025, with an expected average annual growth rate of 140%, potentially exceeding 10 billion yuan by 2028 [2][3] - The development of "expert intelligent agents" is driven by the need to replicate expert diagnostic capabilities, as the gap between expert and general practitioners is significant due to the complexities of medical decision-making [2][8] Industry Trends - The healthcare AI sector is witnessing rapid growth, with over 100 new medical AI models launched in the first four months of this year, surpassing the total for the entire previous year [2][3] - Major hospitals and companies with internet hospital licenses are leading the development of these intelligent agents, indicating a shift towards integrating AI in clinical settings [3][6] - The integration of AI in healthcare is expected to enhance diagnostic efficiency, allowing specialists to focus on more complex cases while AI handles preliminary assessments [4][5] Expert Concerns - Experts express concerns regarding the "black box" nature of AI decision-making processes, which complicates accountability and transparency in clinical settings [7][8][9] - The quality of training data and the decision-making pathways of AI models are critical factors that influence the accuracy of "expert intelligent agents" [8][9] - There is a need for a robust framework to ensure the reliability and traceability of AI-generated medical advice, which is essential for gaining the trust of healthcare professionals [9][10]