现场| AI医疗场景加速落地，未来“元宇宙”医院长啥样

Core Viewpoint - The concept of "metaverse medicine" is evolving into a comprehensive system that integrates all medical information, aiming to create a "thinking" metaverse hospital that utilizes AI throughout the healthcare process [1][5][6]. Group 1: Development of Metaverse Hospitals - The newly opened Xinhua Hospital's Fengxian branch aims to establish itself as a "smart hospital" by integrating AI into the entire medical process, starting with AI-driven digital human guidance in the outpatient hall [1][3]. - AI functionalities are being incorporated into medical imaging devices such as MRI and CT scanners, enhancing diagnostic capabilities [3][5]. - A locally developed 3D dynamic whole-body skeletal imaging system is introduced, which can assess scoliosis severity using AI algorithms, potentially offering more precise and personalized treatment options [5]. Group 2: AI Integration in Medical Procedures - The hospital showcases advanced surgical cases using digital technologies, where surgeons can access patient data through AR glasses and control robotic systems during operations [5][6]. - Xinhua Hospital is collaborating with SenseTime Medical to develop a comprehensive "metaverse smart hospital" platform that covers AI-assisted diagnosis, personalized treatment, and health services [6]. Group 3: Broader Industry Trends - Other hospitals in Shanghai are also exploring "metaverse operating rooms" and AI applications, with initiatives like digital twin technology for real-time patient monitoring in ICUs [7]. - Fudan University’s Zhongshan Hospital is developing AI models to assist in complex coronary interventions, demonstrating the potential for AI to transform surgical practices [7][8]. - The emergence of multi-modal AI models is expected to enhance the efficiency of medical diagnostics across various diseases [8]. Group 4: Funding and Ecosystem Development - The Shanghai Future Industry Fund, with a total scale of 10 billion yuan, is established to support disruptive innovations and interdisciplinary collaborations, with AI healthcare being a significant focus area [9].