Taking fundus photos in seconds to measure the risk of chronic diseases, detecting stress resistance through visual signal stimulation... Artificial intelligence is increasingly entering the lives of ordinary people, making health management "within reach". At the recent conference held in Shanghai on the use of artificial intelligence to promote high-quality development of the health industry, hundreds of experts, scholars, and business representatives gathered together to explore what new possibilities for development will be unlocked when AI deeply embraces the health industry. Artificial intelligence is accelerating the empowerment of disease prevention, precise diagnosis and treatment, health management, pharmaceutical research and development, operational supervision, and other links in the entire chain, constantly giving birth to new products, new formats, and new models, becoming an important measure to implement the health priority development strategy and accelerate the construction of a healthy China. ”Zhu Hongbiao, Vice President and Secretary General of the Chinese Society of Health Economics, said. Technological breakthroughs are accelerating their transformation into industrial momentum. Shu Ting, a researcher at the Hospital Management Research Institute of the National Health Commission, introduced at the conference that the industrial scale of the artificial intelligence medical industry is expected to exceed 40 billion yuan by 2026 and is still in a rapid expansion channel. Entering the venue, a small fundus camera, a retina imaging artificial intelligence detection system independently developed by Yingtong Technology, formed a long queue in front of us. The experiencer only needs to bring their eyes close to the eyepiece and focus on the green light spot, and the device will automatically complete the focusing and shooting. A few minutes later, a "physical examination report" was pushed to the user's phone, indicating the risk of various eye diseases as well as major chronic diseases such as heart attack, cerebral infarction, and senile dementia. A participant who had experienced it exclaimed, "With just one eye photo, you can tell where your body is going wrong, and health management has become smarter." Such intelligent scenarios are being implemented in more hospitals. Gu Jianying, Secretary of the Party Committee of Zhongshan Hospital Affiliated to Fudan University, introduced that the hospital is continuously promoting technological innovation and service application by deepening the construction of AI based large model support system, from AI technology automatically annotating abnormal indicators in physical examination reports, to ICU large model actively monitoring vital signs, and to cardiovascular disease auxiliary diagnosis and treatment intelligent agent combined with multimodal data inference. The core of the transition from the data era to the intelligent era lies in building a system that can perceive in real-time, analyze intelligently, and respond quickly. ”Chu Junhao, an academician of the CAS Member and president of the Institute of Optoelectronics of Fudan University, revealed how agents can enable health care from the bottom of technology. Along this technical path, Dong Jiahong, an academician of the CAE Member and dean of the School of Clinical Medicine of Tsinghua University, has set his sights on the future of precision surgery. He believes that the future operating room will be a "human-machine co intelligence space", integrating innovative technologies such as AI big models, digital twins, embodied intelligence, and mixed reality to achieve deep human-machine collaboration. In the future, medical and health AI products will become more platform based and systematic. ”In the view of Mao Xinsheng, founder and director of Shukun Technology, the industry is accelerating from technological breakthroughs to deep integration, and AI will comprehensively reshape the relationship between patients, doctors, hospitals, and the entire medical industry environment. However, while the industry is accelerating towards deep integration, it also faces some common development bottlenecks. Experts have pointed out that current general large models are generally difficult to accurately capture doctors' clinical thinking, and the creation of native medical multimodal large models is constrained by a lack of high-quality medical data. Faced with challenges, some companies are actively seeking ways to break through. Experts attending the meeting believe that the application of artificial intelligence in China's health industry is still in its early stages of development, and there is still significant room for improvement in core technology breakthroughs, application scenario expansion, and industrial ecosystem construction. The next step is to deepen cooperation among all parties and promote the practical empowerment of artificial intelligence in the health industry. From perception to shared intelligence, artificial intelligence will bring more possibilities for life and health. Although the "smart" dialogue at the conference has come to an end, the story of "AI+health" has just begun. (New Society)