在解放军总医院肝病医学部主任陆荫英看来，AI技术能够显著提升病情诊断的精准度，为临床诊疗提供可靠的数据支撑，与医学人文理念相辅相成。 医生可依托AI的专业赋能，充分考量患者的情感诉求、经济条件等个性化因素，制定更具温度的诊疗方案。对于未来发展，陆荫英建议打造融入多元人文 要素的人机对话模型，推动AI技术从"精准工具"向"温情助手"升级，这需要全体医务工作者转变认知，更需要医生与患者深度参与，共同探索技术与人文融 合的可行路径。 "医疗机构推动AI与医学人文融合，必须坚守以人为本、尊重生命的核心原则。"清华大学医疗管理学院院长武剑建议，推动AI与医学人文融合要构建三 层级管理体系：其一，成立专门AI伦理和战略专家委员会，负责AI医疗应用的准入审核与规范把关；其二，在信息科或医务科等职能部门设立AI质控专职 岗位，落实AI应用全流程管理与责任追溯机制；其三，明确一线医务人员的核心诊疗决策地位，界定AI的辅助工具属性。下一阶段还要进一步整合患者社 会背景、心理状态等维度信息，让AI数据突破"仅关注生理指标"的局限，同时推动医疗关口前移，关注全人群和全生命周期疾病管理，构建人机协同的主动 医疗新模式，提升医疗服务的前 ...

Core Viewpoint - The forum emphasizes the importance of humanistic care in medicine, highlighting that while AI can enhance diagnostic precision, humanistic concern is the essence of medical practice [2]. Group 1: Forum Overview - The National Medical Humanities Dean Forum was held in Dalian, focusing on "Humanistic Medicine Discipline Construction: Inheritance, Innovation, Empowerment" [1]. - Experts and scholars from 14 medical schools across China gathered to discuss the development of medical humanities education and related topics [1]. Group 2: Key Discussions - Experts discussed the integration of the spirit of Norman Bethune with the development of humanistic medicine, addressing challenges and breakthroughs in the construction of humanistic medical disciplines [2]. - The roundtable discussions focused on interdisciplinary innovation paths, faculty development, and practical models for clinical implementation [2]. Group 3: Educational Activities - The forum included specialized lectures and practical activities aimed at students and clinical medical staff, discussing the value of humanism in clinical decision-making and the art of doctor-patient communication [2]. - The goal is to promote humanistic care from the classroom to the campus and into clinical practice [2].

Core Viewpoint - The healthcare sector is undergoing a profound transformation driven by AI technology, which is deeply integrating into the entire diagnostic and treatment process, leading to significant changes in the industry [1][2]. Group 1: AI Integration in Healthcare - AI is being applied in various areas such as intelligent triage, imaging analysis, and drug development, significantly enhancing the efficiency of medical services [1]. - In Zhejiang, the Wuzhen Smart Hospital has received thousands of patients with fewer than 10 doctors and a number of intelligent triage robots since its opening last year [1]. - An AI medical model developed by a team in Shanghai has successfully "passed" the national medical practitioner qualification exam, showcasing the potential of AI in medical training [1]. - The application of the "Taichu" model at Peking Union Medical College Hospital is expected to reduce the average diagnosis time for rare diseases from over 4 years to about 1 month [1]. Group 2: Human Element in Medicine - The essence of medical service revolves around human care, emphasizing that the core of healthcare should always focus on "people" [1][2]. - Despite advancements in technology, there is an increasing demand for humanized medical care, as patients seek emotional support and understanding from healthcare providers [2]. - Research from Johns Hopkins University indicates that increasing communication time between doctors and patients by 30% can enhance treatment adherence by 50% [2]. Group 3: Balancing Technology and Humanity - AI can make knowledge-based judgments but cannot replace emotional understanding, highlighting the need for a balance between technology and human interaction in medical decision-making [3]. - The risk of allowing technology to dominate the diagnostic process could lead to a deterioration of the doctor-patient relationship, emphasizing the importance of empathy and trust [3]. - A case study illustrates that while AI can suggest optimal treatment based on data, the final decision must consider the patient's personal wishes and emotional state [3]. Group 4: Preserving Medical Humanities - There is a need to prevent "technological dependence" from weakening the transmission of medical humanities, which are essential for maintaining the spirit of medicine [4]. - The warmth and human touch in medical practice, such as the way bad news is delivered or considering a patient's financial situation before tests, cannot be programmed into AI [4]. - The evolution of medical training should not shift solely towards algorithm optimization, as this could lead to a loss of the essential human elements in healthcare [4].