Core Insights - The AI medical industry in China has reached a scale of 97.3 billion yuan in 2023 and is projected to grow to 159.8 billion yuan by 2028, with a compound annual growth rate (CAGR) of 10.5% from 2022 to 2028 [1][2][6] Industry Overview - AI is widely applied across the entire medical process, including health management, diagnostic assistance, imaging analysis, drug development, and surgical robotics, enhancing efficiency and patient experience [2][3] - The medical field has historically embraced technology, with digital healthcare laying the groundwork for the current AI advancements [2] Challenges and Risks - A significant challenge is the lack of high-quality training data, which increases the risk of errors in large model applications, leading to issues such as "hallucinations" and opaque reasoning processes [3][4] - The inability to effectively process multimodal data limits the application of large models in complex clinical scenarios [4] - The rise of domestic large models introduces security risks, including potential malicious attacks and single-point failures [5] - Local hardware deployment of large models results in wasted computational resources and inefficiencies due to dispersed computing power [5] Solutions and Initiatives - Experts advocate for the collection, anonymization, and annotation of clinical data to build high-quality datasets, which are essential for driving AI development and improving model accuracy [6] - Successful examples include the establishment of high-quality datasets for cardiac diseases, integrating extensive clinical data to ensure accuracy and comprehensiveness [6] - Companies are encouraged to collaborate in building a medical data governance framework and a service system to facilitate the large-scale application of AI in healthcare [7]