According to a report by China National Radio on January 14th, the recent news that the first AI hospital in China will be open to the public in the first half of this year has attracted widespread attention. In this AI hospital built by a team from the Intelligent Industry Research Institute of Tsinghua University, the first batch of 42 AI doctors are undergoing internal testing. In recent years, AI has brought revolutionary changes in the field of healthcare, demonstrating enormous potential. In today's rapidly advancing technology, artificial intelligence technology is infiltrating every aspect of our lives at an unprecedented speed, and the medical field is no exception. In recent years, AI medical products have emerged one after another, playing a significant role in various scenarios such as imaging, testing, and consultation. The upcoming opening of the first AI hospital in China has made artificial intelligence products play a leading role, which is undoubtedly a major innovation in the medical field, marking a new stage of development for "AI+healthcare" and further enhancing the depth and breadth of their integration. During the consultation process, AI tools are used to assist in collecting and writing medical records; The AI system accurately analyzes the imaging features of tumors, determines the type and staging of tumors; The shortage of grassroots medical talents, AI doctors can not only fill positions, but also play the role of information bridges between medical institutions... If AI hospitals can integrate these advantages, it will greatly improve the efficiency and quality of medical services, enhance the convenience of patient visits, and break the limitations of geography and time, to some extent, alleviate the problem of uneven distribution of medical resources. However, despite the amazing capabilities demonstrated by AI technology in the medical field, it still has some limitations that cannot be ignored. For example, when dealing with complex cases and rare diseases, AI may face significant challenges. These cases often involve multiple intertwined diseases, significant individual differences among patients, and uncertain disease development. Due to the limited number of cases, it is difficult for AI to obtain sufficient training data to establish accurate diagnostic models. Many doctors can use clinical experience to discover clues from seemingly unrelated symptoms in patients. Unlike other fields, the use of AI in healthcare is related to life safety and physical health. It takes time to answer questions such as whether the decision-making process of AI doctors is transparent and traceable, and how to allocate responsibilities in case of medical disputes. In addition, AI has natural deficiencies in communication skills. After a patient falls ill, both physically and mentally, they are in a fragile state. In addition to providing treatment, a qualified doctor should also provide necessary humanistic care and emotional support to enhance the patient's confidence in overcoming the disease. This is clearly something that AI doctors cannot achieve. It is also important to realize that protecting data security is crucial in the application of AI. The patient's name, age, medical history, genetic data, and other sensitive information can have serious consequences for individuals if leaked or abused. There is a need for clearer regulations on how AI hospitals collect, use, and store patient data. As a new phenomenon, the advantages of AI hospitals are worthy of recognition, but the hidden disadvantages and risks should also be highly valued. In the future, on the one hand, we need to actively embrace this change, and on the other hand, we need to continuously improve various diagnostic and treatment processes of AI hospitals, so that new technologies can better benefit society. (New Society)