AI如何赋能医疗？“四链”人才共话智能医工融合

Core Insights - The integration of AI in the medical field is expanding, impacting areas such as drug development, medical imaging, disease diagnosis, and health monitoring [1][2] - AI diagnostic tools are evolving from single-use assistants to comprehensive partners in the treatment process, particularly in orthopedic surgery [1] - Investment in high-quality data and targeted funding is crucial for shaping the global pharmaceutical and healthcare landscape [1] Group 1: AI Applications in Healthcare - AI technology is increasingly applied in various medical domains, including new drug development, imaging, and intelligent rehabilitation [1] - The development of intelligent surgical robots for fracture treatment addresses critical challenges in minimally invasive procedures, significantly improving treatment outcomes [1] Group 2: Investment and Innovation - Investment strategies should focus on technology transfer and clinical needs to drive innovation in smart medical devices [1] - The development of disruptive technologies like micro-nano robots requires stable capital investment and participation from social capital to accelerate industrialization [2] Group 3: Collaborative Ecosystem - A multi-win ecosystem involving medical, industrial, financial, research, and application sectors is essential for promoting the adoption of surgical robots in hospitals [2] - The event aims to facilitate talent exchange and promote the development of the intelligent medical device industry in Beijing [2]