Under the DeepSeek craze, "AI consultation" has become popular. A doctor claimed that DeepSeek has the expertise of a top tier hospital and has become a hot topic; Some medical bloggers have also posted online, claiming that patients "questioned" their treatment plans after searching DeepSeek, only to find out that the AI's opinion was correct and self deprecatingly "the sky collapsed". Is "AI consultation" reliable? Is there a relationship between patient questioning and diagnostic results? Can DeepSeek really replace doctors? This series of questions has sparked widespread social thinking, and how to balance the relationship between humans and machines and safeguard the trust between doctors and patients has become an urgent issue that needs to be addressed. Technological progress is always reshaping the industry ecosystem, and the current impact of AI tools on the medical field is no exception. The iterative upgrade of medical information acquisition methods from traditional search engines to generative artificial intelligence is essentially a vivid footnote to technology empowering healthcare. The efficient performance of AI assisted diagnostic systems in areas such as image recognition and data analysis not only improves diagnosis and treatment efficiency, but also opens up new paths for optimizing medical resource allocation. But technological tools are a double-edged sword. When patients hold AI diagnostic reports and confront doctors face-to-face, the collision between professional judgment and machine conclusions may evolve into a crisis of trust. We should not only acknowledge the positive impact of the intelligent era on healthcare, but also recognize that AI technology still plays an auxiliary role in healthcare. Medicine is not only based on evidence-based scientific exploration, but also an artistic practice full of humanistic care. Intelligent systems can accurately calculate drug doses, but cannot sense the anxiety of patients tossing and turning on the sickbed; It can list the probability of complications, but it is difficult to convey a comforting temperature. Beyond the technical level, humanistic care is the core value of medical behavior. Moreover, clinical diagnosis and treatment are inherently dynamic cognitive processes, and doctors' experience accumulation and real-time judgment often enable the optimization of personalized diagnosis and treatment plans within the framework of evidence-based medicine. Applying AI tools correctly in healthcare poses significant challenges for both patients and doctors. For patients, it is encouraged to make good use of intelligent tools for health management, but they should be wary of data dependence. It should be noted that individual differences, disease progression, and other factors may affect the diagnosis and treatment path, and cannot be overlooked. For doctors, it is not only necessary to maintain an open attitude and embrace technological innovation, but also to enhance the accuracy of diagnosis and treatment with the help of AI. It is also important to strengthen the awareness of lifelong learning and update the professional knowledge system in a timely manner. A more rational human-machine collaborative diagnosis and treatment model is that AI is responsible for initial screening and data analysis, while doctors focus on clinical decision-making and humanistic care. This complementary collaborative mechanism not only unleashes technological dividends but also adheres to the essence of medical care. The healthy development of medical artificial intelligence calls for more comprehensive institutional protection. Relevant departments should accelerate the development of application standards for intelligent diagnosis and treatment systems, establish a dynamic evaluation mechanism for medical AI, and clarify the boundaries and responsibilities of technology applications. Medical institutions need to strengthen patient education and guide the public to view AI healthcare rationally through methods such as setting up AI diagnosis and treatment classrooms. Only when both doctors and patients enhance understanding through technological progress and build consensus through information symmetry, can artificial intelligence truly become a driving force for safeguarding health. Medical technology innovation is always on the road, and the deep influence of AI on healthcare will become one of the main trends in its future development. However, the spirit of compassion among doctors cannot be shaken, and the bottom line of medical safety cannot be lost. Using AI tools to search for results and question doctors may be a necessary process for the deep integration of medical technology and intelligent technology. In this context, it is even more important to take care of the precious trust bond between doctors and patients, so that both parties can withstand the impact of intelligent technology and jointly enjoy the huge dividends brought by intelligent diagnosis and treatment. (New Society)