日前，中文医疗大模型权威评测平台MedBench公布了最新一期评测结果，引发关注。由上海人工智能 实验室全新发布的MedBench 4.0，是国内首个且唯一面向医疗垂直大模型、专用大模型及应用场景的综 合性评测与验证的平台，已成为衡量医学人工智能产品性能与可靠性的科学标尺。在迭代至4.0版本的 更为严格、全面的MedBench权威评测中，微医医疗大模型在综合榜单中持续领跑，其突出的临床辅助 能力与可靠性获得验证。 | 多模态大模型评测榜单 | | 查看更多 | | --- | --- | --- | | 排名 | 模型名称 | 综合得分 | | 1 | 微医医疗大模型 微医 | 60.8 | | 2 | UniGPT-Med-VL 云知声智能科技股份有限公司 | 59.6 | | 3 | GPT-5-chat-latest OpenAl | 53.7 | | 4 | Gemini-2.5-Pro-nothinking Google | 51.9 | | 5 | o4-mini OpenAl | 50.9 | 技术扎根真实场景，驱动价值医疗普惠未来 2025年11月，MedBench升级至4.0版本，聚焦"实战 ...

Core Insights - Hippocratic AI, an AI healthcare startup, has achieved a valuation of $3.5 billion (approximately 249 billion RMB) after raising $126 million in its latest funding round, marking a doubling of its valuation in less than a year [2][3] - The company focuses on developing non-diagnostic AI solutions to address global healthcare resource shortages, with applications in patient communication, information collection, and follow-up [2][12] Funding and Growth - Since its inception in May 2023, Hippocratic AI has completed multiple funding rounds, raising over $400 million in total [3] - The latest funding round (C round) took place in November 2025, raising $126 million, led by prominent investors including Andreessen Horowitz and General Catalyst [5] - The company has established partnerships with over 50 large healthcare systems and pharmaceutical companies across six countries, completing over 115 million clinical patient interactions without safety issues [7][18] Product and Technology - Hippocratic AI's core technology is a medical-specific large language model named Polaris, designed to ensure safety and practicality in patient interactions [12] - The company has launched a "Healthcare AI Agent App Store," allowing healthcare professionals to create and customize AI applications without programming knowledge, with over 1,000 non-diagnostic medical scenarios covered [17] - The AI agents have demonstrated high reliability, achieving a clinical evaluation accuracy rate of 99.38%, significantly surpassing the average of 81% for registered nurses in the U.S. [15] Market Position and Strategy - The company targets non-diagnostic patient communication tasks, such as pre-operative preparation and chronic disease management, effectively replacing traditional medical call centers [17] - The business model operates on a usage-based SaaS subscription, with costs approximately one-fourth of traditional human services, and high patient satisfaction ratings [17] - The global AI healthcare market is transitioning from concept to value realization, with a focus on addressing specific, measurable problems that meet regulatory requirements [21]

Group 1 - The annual Cloud Summit held in Hangzhou showcased advancements in AI technology and its applications in healthcare, with a focus on the integration of AI in medical services [1][2] - Micro Medical Holdings presented its AI-driven healthcare solutions, including the "Micro Medical AI General Hospital" and the AI health assistant "Micro Xiao Yi," which attracted significant attention [1][2] - The forum titled "AI Agent Defines Future Life: Evolving from 'Tool' to 'Digital Partner'" featured a keynote speech by Xu Hongxia, emphasizing how AI is reshaping healthcare services and management [1][2] Group 2 - AI technology is addressing structural challenges in China's healthcare system, such as uneven resource distribution and high chronic disease prevalence, by shifting the focus from "treatment-centered" to "health-centered" care [2][3] - The Tianjin AI Health Community, driven by the Micro Medical AI General Hospital, has seen significant improvements in outpatient volume and reduced average costs, alongside enhanced health metrics for diabetes management [2][3] - The AI-driven healthcare model has achieved a "two increases and one decrease" outcome, benefiting patients, healthcare providers, and insurance funds [3] Group 3 - The Micro Medical AI General Hospital has developed various AI agents, including AI doctors and AI pharmacists, to enhance the entire medical service process from pre-diagnosis to post-treatment [3][5] - The AI doctor has improved the quality of care in grassroots healthcare settings, achieving a 99.97% compliance rate for reminders on inappropriate prescriptions, thereby enhancing medical safety [3][5] Group 4 - The Micro Medical large model integrates clinical data and decision-making pathways, establishing a robust foundation for health-centered value-based care [5] - The model includes over 13,000 specialized medical rules and 222,000 medication review rules, ensuring evidence-based compliance in AI decision-making processes [5] Group 5 - The "Micro Xiao Yi" health management product offers personalized health monitoring and management services, utilizing user health profiles and wearable devices to create a closed-loop service [6][9] - The product provides real-time health advice and connects users to medical services, enhancing the overall healthcare experience [6][9] - "Micro Xiao Yi" is positioned as the first clinical-grade AI health assistant covering the entire medical process, aiming to improve health management and patient engagement [9]