The healthcare industry is undergoing a profound technological transformation, which is the innovation and application of AI technology. From intelligent guidance and image analysis to drug development, AI is deeply integrated into the entire diagnosis and treatment process, driving changes in the medical field. In Zhejiang, since the opening of Wuzhen Intelligent Hospital last year, less than 10 doctors and a group of intelligent guidance robots have received thousands of patients; In Shanghai, a team of doctors participated in the research of an artificial intelligence medical model, which was able to successfully pass the National Medical Practitioner Qualification Examination. Especially in the field of rare diseases, the application of the "Taichu" large model at Peking Union Medical College Hospital is expected to shorten the average diagnosis time of over 4 years in China to about 1 month. The essence of medical services is caring for people, and the core of medical services is always centered around "people" - doctors heal illnesses with experience, wisdom, and emotions, while patients entrust their lives with trust, support, and cooperation. Throughout the history of medical technology development, the core of any medical technology is to solve the problem of "being human" and has the attribute of "being human". "Being human" is the means, and "being human" is the fundamental purpose. I grew up in a water town in Jiangnan, and when I was a child, I often had a question in my heart: why do fishermen always put big stones on empty fishing boats when they go out to sea? My parents told me that this is called a "ballast stone", mainly used to lower the center of gravity of a small boat when it is empty, in order to prevent the boat from capsizing in strong winds and waves. In the field of medicine, in the wave of AI technology driving medical transformation, medical humanities are the "ballast stone" that ensures the smooth sailing of this giant ship of medical technology transformation. Medicine is never simply a combination of technology, but a dialogue of life filled with warmth. Currently, AI technology is profoundly reshaping the medical ecosystem and posing unprecedented challenges to the humanistic spirit of medicine. We need to respond with reverence and solve them with wisdom. The ballast stone can allow a small boat to steadily move forward in the wind and waves, and medical humanities is the "ballast stone" of the medical giant ship in the AI era - it can keep technology on the path of saving lives and helping the wounded. When we marvel at technological miracles, we should also see that while the global AI healthcare market is rapidly expanding, a survey on doctor-patient trust shows that the more advanced the technology, the stronger the desire of patients for "humanized healthcare". AI can only see data, only doctors can understand the "people" behind the data - people's fears, families, and tolerance for pain. A study by Johns Hopkins University shows that increasing communication time between doctors and patients by 30% can improve treatment compliance by 50%. AI can generate ten thousand comforting words, but patients may only need to hold the hand that has wiped away their tears. Be wary of "data-driven" replacing "humanistic led" and maintain the emotional foundation of the doctor-patient relationship. The essence of medicine is "human learning". The eye contact between doctors and patients, the power transmitted in the palm of their hands, and the seemingly small interaction of "I understand your pain" are precisely the core codes for healing. AI can replace humans in making knowledge judgments, but cannot replace humans in making emotional judgments. AI can accurately identify lesions, but cannot understand patients' fears. If technology logic is allowed to dominate the diagnosis and treatment process, the doctor-patient relationship will become a "dialogue between humans and machines", and the most precious empathy, trust, and care in medical humanities will gradually be diluted. The key to solving this problem lies in how to proactively manage and balance the use of technology. To prevent "algorithmic rationality" from obscuring "ethical thinking" and build a strong value defense line for medical decision-making. The advantage of AI lies in mining patterns through big data, but medical decision-making is never just about "probability calculation". When AI concludes that the surgical success rate is 90%, we must not ignore the patient's mentality of being unwilling to bear even a 1% risk. Not long ago, there was a case where an AI system recommended a targeted drug to a late stage patient, citing "the best efficacy data," but the doctor ultimately chose another option - because he learned that the patient's biggest wish was to "attend their daughter's wedding. This tells us that algorithms can provide optimal solutions, but the 'most suitable solution' always requires human judgment. To avoid "technological dependence" weakening "humanistic inheritance" and safeguard the intergenerational transmission of medical spirit. Medical humanities is not only a theory in textbooks, but also a "spiritual gene" passed down from generation to generation by hospital beds and operating tables. When the older generation of doctors take students on ward rounds, they will teach them to "hold the patient's hand before announcing bad news"; It will remind the patient to inquire about their financial situation before opening the examination form. The temperature in these details cannot be programmed by AI. If technological tools lead to 'ideological dependence', the inheritance chain of medical humanities may break. We must be vigilant: when the growth path of doctors changes from "learning from teachers and observing people's hearts" to "debugging algorithms and optimizing models", medicine will lose not only temperature, but also its soul. Xunzi said, "A gentleman is not born out of differences, but is good at deceiving things." AI is a gift from the times to medicine, not a substitute for medicine. AI reading is more accurate in order to give doctors more time to listen to patients; Algorithm prediction is more accurate in order to make treatment plans more tailored to people's needs; Technological iteration is faster in order to better safeguard the dignity of being born as a human being. The fundamental technology of "human" lies in "being human", and the power to hold onto the profound foundation of medicine lies in the "ballast stone" of medical humanities. (New Society)