投资界11月17日消息，「商汤医疗」近日完成数亿元Pre-A+轮战略融资，投资方包括联想创投、联创 资本、九弦资本、申冉投资等。今年年初，商汤医疗已获得美的系盈峰控股、人民卫生出版社集团旗下 人卫科发等产业资本的上亿元投资。 据商汤医疗介绍，当前公司已启动A轮融资，投后估值超30亿元，本轮融资认购金额已超5亿元。 因此，早在2018年，商汤医疗就提出了"赋能全院诊疗愈"的平台化理念，发展至今形成了临床诊疗、智 能决策、患者服务、医学科研等实践场景应用，覆盖医疗全流程。 这种平台化战略，也符合医院方的隐性需求。很多医院希望供应商能提供有延展性的产品，而不是装十 几款软件、对应十几家厂商。澳门镜湖医院便是一个案例，该院多年来接连采购了商汤医疗十余款人工 智能产品。 为了避免陷入"软件标品"的价格战 ，商汤医疗搭建了智能体开发、模型应用生产双中台体系，形成"自 主可控+灵活调配"的差异化优势。医院不仅能调用底层大模型能力；还可结合自身优势，利用双中 台，生产特定领域专属模型及智能体，实现智慧医院的升级。 "大医"模型，以千亿参数规模的商汤日日新"商量"大语言模型为基模，利用海量高质量医学知识数据训 练而成，具备感知 ...

Core Viewpoint - The emergence of Generative Artificial Intelligence (AIGC) represents not only a technological revolution but also a reflection of human creativity, values, and trust, emphasizing the need for a humanistic approach to guide technology in serving humanity [2][5]. Group 1: AIGC Definition and Evolution - AIGC is defined as algorithms capable of generating text, images, music, and videos, exemplified by tools like ChatGPT, Midjourney, and DALL·E [2]. - The evolution of AI has progressed through several waves: from symbolic reasoning and rule-based systems to statistical learning, deep learning breakthroughs, and now to AIGC as a collaborative partner rather than just an auxiliary tool [3]. Group 2: Cultural Impact - AIGC is not merely a technical phenomenon; it has become a "cultural software" that reshapes how culture is expressed and defined in the digital age [3]. - The rise of AI-generated content raises questions about originality and the emotional and cultural value of rapidly produced works, echoing concerns raised by philosopher Walter Benjamin regarding mechanical reproduction [3]. Group 3: Applications in Education - AIGC has transformed education by providing personalized, scalable, and adaptive learning experiences, such as AI-assisted tutoring and dynamically generated learning materials [4]. - However, challenges include potential over-reliance on AI by students, which may weaken critical thinking skills, and the risk of exacerbating the digital divide due to uneven technology distribution [4]. Group 4: Applications in Healthcare - In healthcare, AIGC has demonstrated effectiveness through AI-generated diagnostic reports and image analysis tools, enhancing diagnostic efficiency and supporting clinical decision-making [4]. - Notable developments include specialized large language models like Google DeepMind's MedGemma and SenseTime's "Da Yi" model, which assist in diagnosis and patient communication [4]. Group 5: Societal Challenges - AIGC poses significant societal challenges, including information pollution, the ambiguity of copyright in creative industries, and potential job displacement in various sectors [5]. - There is a growing concern about a "crisis of trust" as distinguishing between true and false content becomes increasingly difficult, highlighting the need for responsible guidance in shaping AI's role in society [5].