新浪科技讯 1月12日上午消息，近日，《生命时报》发布了一项有全国超500位三甲医院医生参与的调 研。调研结果显示，超七成受访医生表示愿意推荐大众使用AI医生，用以解决日常基础的健康疑问， 62%的受访医生已经在使用AI医生辅助自己工作，90%的受访医生表示看好AI医生的未来发展。 此外，数据显示，目前62%的受访医生已经主动使用AI医生辅助工作，超九成医生看好AI医生的未来发 展。在国内，真人医生开设"AI分身"扩大服务范围的趋势也在兴起。公开信息显示，在健康AI蚂蚁阿福 平台上，已有500多位三甲医院医生开设了自己的"AI分身"，7*24小时在线解答用户咨询。 责任编辑：宋雅芳 超六成三甲医生已经主动使用Al医生辅助工作,超九成 医生看好Al医生的未来发展。 超九成看好AI医生 超500位 三甲医生 2 三甲医生眼中AI医生的四大使用场景:健康问题答 疑、运动饮食指导、报告解读、用药咨询。 96% 84% 66% 64% 健康 运动 报告解读 用药咨询 问题答疑 饮食指导 2.Al医生的两大优势: 实用、有耐心 ■ 三甲医生认为Al医生优势在于:随时随地问、多学科知 识全覆盖、能承接海量咨询、缓解焦虑有耐 ...

用AI"看病"正成为不少人应对健康问题的选择之一，人工智能领军企业OpenAI也正式进入这一领域。 根据Grand View Research等三方研究机构预测，全球AI医疗健康市场在2025年已接近400亿美元规模， 至2032年有望突破5000亿美元，年复合增长率保持在40%以上。其中，面向消费者的数字健康与个人健 康管理细分领域增速尤为突出。数字健康技术整体市场预计在2026年超过3000亿美元，很大一部分增量 来自于AI驱动的个人化健康工具。 ChatGPT Health等产品的推出，正反映了上述趋势，它的竞争优势在于将原本分散在多个App中的健康 数据整合到一个对话界面，使用户能够以对话方式获得综合解读，极大降低了信息获取门槛。 在中国，互联网大厂、大健康类企业以及中小型AI技术公司也在加速布局这一领域，包括医联的未来 医生、京东健康的AI医生大为、蚂蚁集团的阿福、阿里巴巴的夸克健康、百度健康的文心健康管家、 讯飞医疗的讯飞晓医、字节跳动的小荷AI医生等正在争夺这一领域的用户。近期，AI健康助理蚂蚁阿 福更是在线上线下（300959）"烧钱刷屏"，还找来了主持人何炅、《甄嬛传》中温太医的扮演者等名人 ...

今天，AI领域传来重磅消息。OpenAI正式推出全新功能ChatGPT Health，并向小部分用户开放。这是自蚂蚁阿福现象级走红之后，又一巨头入局健康 AI。 另一方面，字节、百度、京东、腾讯等国内大厂也纷纷跟进——百度将算法大牛转岗至百度健康，腾讯上线健康问问AI功能、字节加速小荷AI医生推 广……有业内人士调侃，阿福拯救了大厂的健康事业部。 实际上，互联网医疗并非新概念，但过去多年受制于医疗广告乱象、竞价排名等问题，行业一度失去想象力。蚂蚁阿福的出现，验证了大模型在健康医疗 严肃场景下的可行性与用户接受度，并且走出了问答结果没有广告、不含商业排名的"纯净模式"。 有观点认为，阿福的出现，将会加速用户健康咨询习惯的迁移，从传统搜索迁移至AI平台。 不同于通用AI，阿福以专业的医疗大模型为底座，聚焦于健康问答和服务领域，专业度上保持领先。并且，在阿福App上，用户可一站式获得在线挂号、 咨询名医，甚至医保支付等后续服务，相比通用AI的专业闭环优势明显。 沉寂许久的互联网医疗健康赛道被再次点燃。过去一个月来，蚂蚁阿福的爆发式增长，推动百度、字节、腾讯等国内互联网大厂争相加码健康业务，布局 智能问答相关产品。如 ...

另一方面，字节、百度、京东、腾讯等国内大厂也纷纷跟进——百度将算法大牛转岗至百度 健康，腾讯上线健康问问AI功能、字节加速小荷AI医生推广……有业内人士调侃，阿福拯救 了大厂的健康事业部。 OpenAI入局，赛道竞争将加速 实际上，互联网医疗并非新概念，但过去多年受制于医疗广告乱象、竞价排名等问题，行业 一度失去想象力。蚂蚁阿福的出现，验证了大模型在健康医疗严肃场景下的可行性与用户接 受度，并且走出了问答结果没有广告、不含商业排名的"纯净模式"。 有观点认为，阿福的出现，将会加速用户健康咨询习惯的迁移，从传统搜索迁移至AI平台。 不同于通用AI，阿福以专业的医疗大模型为底座，聚焦于健康问答和服务领域，专业度上保 持领先。并且，在阿福Ap p上，用户可一站式获得在线挂号、咨询名医，甚至医保支付等后续 服务，相比通用AI的专业闭环优势明显。 今天，AI领域传来重磅消息。OpenAI正式推出全新功能ChatGPT Health，并向小部分用户开 放。这是自蚂蚁阿福现象级走红之后，又一巨头入局健康AI。 沉寂许久的互联网医疗健康赛道被再次点燃。过去一个月来，蚂蚁阿福的爆发式增长，推动 百 度 、 字 节 、 腾 讯 ...

AI医疗观察 . 响应《关于深入实施"人工智能+"行动的意见》，推动AI在医疗领域的应用，本账号发布权威资讯 以下文章来源于AI医疗观察 ，作者关注AI医疗的 蚂蚁阿福月活用户规模已超过 1500 万，成为国内首个月活突破千万的健康管理类 AI 应用，其意义并不仅在规模本身，而在于验证了消费端长 期健康管理的可行性。 而这只是 C 端 AI 医疗商业化的起点。未来真正决定产品能否走向长期增长的，并非单点能力，而是能否把用户的健康行为持续组织起来。基于 大量过往投资案例和长周期验证，我们认为其核心有三层： 高频 刚性 的 场景、大量用户以及用户主动上传的数据 。本文将通过 分析中国 AI 医疗 格局 ，进一步展开这一判断。 为什么是现在：从试点条件走向系统条件 在 通用 AI 2C 产品中，模型足够好，或在某个高频场景中解决了明确痛点，用户规模便可以迅速放大。 但在医疗领域，这一关系长期是倒置 的。医疗模型的有效性高度依赖两类基础条件：一类是来自医疗体系内的历史就诊与检查数据，用以覆盖真实人群与疾病阶段；另一类是来自真 实使用者的长期交互与连续健康记录，用以 解答高度个体化和针对性的健康问题。 所以， AI 医 ...

今天给大家分享一下AI应用行业最新情况。QuestMobile数据显示，截至最新统计周期（12.08-12.14），AI原生APP活跃用户榜单已经发 生了巨大变化，其中，豆包、DeepSeek、元宝仍位居前三，周活跃分别为1.55亿、8156万、2084万；蚂蚁阿福、千问、豆包爱学位居第 二梯队，周活跃用户量分别为1025万、872万、722万。 变局背后，存在多重内在变化。首先，过去半年多，AI的持续爆发正在以"无声处听风雷"的态势前进，从底层软硬件到模型算法再到落 地应用，都迎来了资本蜂拥，从2025年7月到11月，短短五个月里，产业链完成了186起投融资，金额达到336.7亿元，较上半年增加 20.8%！ 受此影响，体系化和生态化的竞争成为大玩家留在牌桌上的关键：人才抢夺、挖角此起彼伏，模型的竞争从单模态走向多模态以及面向 未来的"全模态"，截止到2025年11月，8个主流厂商合计推出了409个大模型，其中，单模态、多模态和全模态占比分别为61.4%、 36.7%、1.9%。这当中，多模态交互已经逐渐成为主流，"多模态输入"到"单模态输出"占比高达73.3%。 而在体系化和生态化竞争的驱动下，应用落地层 ...

11月28日，金融监管总局披露的2025年1—10月经营数据显示，健康险原保险保费总收入达8943亿元， 同比增长2.3%，增速显著低于保险业整体水平。 市场呈现明显分化态势：今年1—10月，人身险公司健康险业务增长陷入停滞，同比增速趋近于零；而 财产险公司健康险同比增速达到10.6%，延续稳健扩张态势。业内分析指出，财产险公司积极参与大病 保险、长期护理保险、惠民保等政策性与普惠型健康险业务，成为驱动其增长的核心动力。 专业健康险公司表现尤为亮眼。前三季度已披露数据的人保健康、平安健康、太保健康、复星联合健康 四家头部机构合计实现保费收入808.25亿元，同比增长15.62%，净利润102.96亿元，同比激增 132.55%，两项核心指标均显著跑赢行业平均水平，彰显专业经营模式的竞争优势。 2020年政策曾提出"力争到2025年，商业健康保险市场规模超过2万亿元"的目标，但从当前增速看，或 许要到2025年末才能突破万亿大关。十年前，百万医疗险、惠民保的出现曾推动商业健康险实现一轮规 模化扩张，如今行业亟待寻找新的增长支点，"AI+健康"能否成为破局关键？ PART01 蚂蚁战略升级 AI大模型角逐健康生态 ...

Core Insights - The report by QuestMobile highlights the rapid growth of AI applications in China, with AQ, an AI health application from Ant Group, ranking 7th in the top 10 AI native applications, marking a rise of 3 positions within a month [1][3] - AQ achieved a remarkable compound growth rate of 83.4% in the third quarter, significantly outpacing the industry average growth rate of 13.5% [3][4] Company Performance - AQ's user base exceeded that of other general AI products, such as Tongyi and Wenxiaoyan, within just over three months of its independent app launch [1] - As of September 2025, AQ had a monthly active user (MAU) count of approximately 785,460 [2] Market Position - AQ is the only health-focused application in the top 10 AI applications, indicating a unique position in a competitive market [1] - The report shows that AQ's growth trajectory positions it as the fastest-growing player in the AI application market [3] Strategic Initiatives - Ant Group's CEO emphasized the importance of specialized AI in healthcare, aiming to extend quality medical resources to underserved areas, particularly in third-tier cities and rural areas [5] - Ant Group has made significant investments in the healthcare sector, including the acquisition of Good Doctor Online and the launch of various AI-driven healthcare solutions [5][6] Product Features - AQ has introduced several features aimed at managing chronic diseases among the elderly, including AI tools for monitoring blood pressure and blood sugar levels, and reminders for medication [6][9] - The integration of AQ with Good Doctor's platform allows users to access medical consultations and services seamlessly through the Alipay app [5][6] Industry Trends - The demand for AI health applications is growing, as evidenced by the launch of similar products by competitors like ByteDance and Ping An Good Doctor [9] - Ant Group's approach focuses on user value rather than purely commercial interests, ensuring that AI technology enhances healthcare services without compromising medical integrity [9]

Core Insights - AQ, an AI health application by Ant Group, has rapidly gained recognition, ranking 7th in China's AI native app list within just over three months of its independent launch, showcasing a remarkable 83.4% compound growth rate in monthly active users [1][2][7]. Group 1: AQ's Performance and Growth - AQ is the only health-focused application in the top 10 AI native apps, achieving a monthly active user count of approximately 785.46 million as of September 2025 [3][4]. - The application has outperformed the industry average growth rate of 13.5%, indicating strong user engagement and demand in the health sector [7][9]. - AQ's rapid ascent from 10th to 7th place in just one month highlights its effective market penetration and user acquisition strategies [7][9]. Group 2: Market Positioning and Strategy - AQ differentiates itself by focusing on the healthcare sector rather than competing in the crowded general AI model space, establishing a unique market position [1][9]. - The application offers over a hundred AI functionalities, including health consultations and report interpretations, designed to provide personalized health management [6][10]. - AQ's development is based on extensive training with over a trillion tokens of medical data, enabling it to perform complex medical reasoning and multi-modal interactions [10][13]. Group 3: Industry Context and Competition - The internet healthcare market in China is projected to grow from 3,925 billion in 2023 to 4,799 billion by 2025, attracting numerous internet companies and intensifying competition [15][18]. - Major competitors include ByteDance's "Xiaohe AI Doctor," Tencent's healthcare solutions, and Baidu's "Lingyi Zhihui," all of which are enhancing their AI capabilities in the healthcare domain [16][17][18]. - Ant Group's strategic integration with healthcare resources, such as its collaboration with Haodaifu Online, aims to create a comprehensive health service platform that connects users with medical professionals [18][19].

Core Viewpoint - Leading platform companies and AI technology firms are increasingly entering the healthcare sector, leveraging AI technology and vast health search data to enhance online medical services and efficiency [1][2]. Group 1: Industry Trends - Many top-tier hospitals are moving towards seeking external AI service resources as they enter a "cooling period" in developing their own AI models [1]. - The rise of large models has revitalized interest in internet healthcare, which had previously faced challenges [1]. - Companies like Baidu Health and ByteDance's Xiaohua Health are launching AI-driven healthcare applications, expanding their services from health education to intelligent medical consultations [2]. Group 2: AI Model Development - Concerns have been raised regarding the quality and availability of data for training medical AI models, which can impact decision-making accuracy in serious medical scenarios [3]. - Experts suggest that general-purpose AI models can play a crucial role in healthcare by enhancing reasoning and multi-modal capabilities, provided they are trained with sufficient and updated medical data [3]. Group 3: Application and Commercialization - Baidu Health's AI manager app integrates real-time verification by human doctors, ensuring that AI decisions are validated [2][5]. - The commercial landscape for internet healthcare is evolving, with challenges in user engagement and payment pathways, leading companies to focus on partnerships with medical institutions [6]. - Hospitals are beginning to adopt AI models cautiously, ensuring safety and establishing independent computing platforms for their applications [6][7].