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厦门医疗队跨越山海 接力续写闽宁协作新篇_我的网站
A | AI摘要 在固原市泾源县，厦门援宁医生林菊丽发现，患者从不喊疼。
Chinese autonomous-driving company Pony.ai said on Monday that its cumulative autonomous-driving distance worldwide has surpassed 100 million kilometers, marking the latest milestone as China's driverless sector moves from technology validation toward mass production and scaled commercial deployment.
The milestone comes as L4 autonomous driving gains commercial traction across passenger transport and logistics in China, while Chinese companies are accelerating overseas deployment through partnerships with local operators in markets including Europe and Southeast Asia.
Industry experts said that the significance goes beyond rising distance. As commercialization gathers pace, the next phase of competition will increasingly hinge on whether autonomous-driving technology can be deployed at scale, brought down to commercially viable costs and replicated across different transport scenarios and markets.
At a recent media briefing, Pony.ai said that its fourth-generation L4 autonomous electric heavy-duty truck had entered mass production, with commercial operations expected to begin in the coming months. The company plans to deploy 500 to 1,000 trucks over the next two to three years across long-haul freight, bulk cargo transport and port logistics.
A notable part of that transition is the sharp decline in costs. Autonomous-driving hardware costs for Pony.ai's fourth-generation heavy truck are about 70 percent lower than for the previous generation, according to the company.
Similar cost reductions are also emerging in robotaxis. Pony.ai said on its official blog that the bill-of-materials cost of the autonomous-driving kit for its seventh-generation robotaxi has fallen 70 percent from the previous generation, helping the company achieve unit-economics breakeven in Guangzhou and Shenzhen, South China's Guangdong Province.
China's autonomous-driving sector is moving from technology validation to large-scale commercial deployment, underpinned by the rapid accumulation of real-world driving data, Pan Helin, a member of the Expert Committee for the Ministry of Industry and Information Technology, told the Global Times on Monday.
"Continuous road testing allows L4 systems to better adapt to local traffic conditions, laying the groundwork for wider commercial use," Pan said.
China has opened multiple cities to autonomous-driving applications, with commercialization gathering pace. As deployment expands and marginal technology costs fall, autonomous driving is expected to unlock significant commercial value and emerge as a new form of mobility, veteran industry analyst Liu Dingding told the Global Times.
Pony.ai aims to expand its robotaxi fleet to more than 3,000 vehicles by the end of 2026 and operate in 20 cities worldwide, with nearly half of those cities overseas. It also plans to develop an international version of its seventh-generation robotaxi tailored to different regulatory requirements and infrastructure, supporting the deployment of more than 1,000 vehicles in overseas markets.
Pony.ai's ambition also reflects a broader push by Chinese autonomous-driving companies to expand overseas.
On August 3, WeRide announced a partnership with Danish shared-mobility platform GreenMobility to deploy autonomous ride-hailing services in Denmark, marking its first entry into the Nordic region and sixth European market. Subject to regulatory approval, the service is expected to open to the public in the first half of 2027 using WeRide's latest GXR L4 robotaxi.
WeRide said on its website that its autonomous-driving products are now deployed in more than 40 cities across 12 countries. The company holds autonomous-driving permits in eight markets and operates a global L4 fleet of more than 3,000 vehicles.
A similar expansion is taking place in public transport. On July 17, Chinese autonomous-driving company MOGOX announced a strategic partnership with Singapore-based ComfortDelGro Bus. The two companies will cooperate on autonomous-vehicle deployment and operations, commercial expansion and coordination with regulators.
Pan said that China's autonomous-driving sector has two key advantages: a broad supplier base for major components and a large domestic market that allows companies to deploy services widely and accumulate real-world data. Advances in simulation and synthetic-data technologies have further strengthened the sector's ability to train and refine autonomous-driving systems.
Liu pointed to the cost benefits of scale. As deployment expands, the cost of key automotive-grade components such as lidar and chips continues to fall, improving the economics of commercial operations and creating more room for technological iteration, he said.
。她组建全女性医护团队，推广微创手术，提升当地诊疗水平，留下技术，助力医疗帮扶持续发展。
B | 林菊丽（白衣者）参与义诊。（受访者 供图） 在固原市泾源县工作一年，厦门援宁医生林菊丽发现了一个“秘密”：这里的患者，几乎没人喊疼。 乳腺微创手术打局麻，疼痛感常让患者忍不住叫出声。
C | 在泾源县，林菊丽总要问患者：“疼不疼？疼就说。
D | ”得到的回答往往是：“你们大老远来帮我们看病，这点疼算什么，不疼！”一位教师患者术后，林菊丽特意叮嘱，如果晚上疼就找护士拿药。第二天林菊丽查房时问起，对方说：“医生，我昨晚等了一晚上，也没等来疼痛。”当时林菊丽信了，但事后再回想，心里一阵酸楚：“哪有人不怕疼，患者是怕给我们添麻烦啊。” 林菊丽的故事，只是厦门医疗队援宁三十载接力中的一个缩影。
E | 2023年9月，厦门市妇幼保健院乳腺外科副主任医师林菊丽如愿踏上援宁路。她前后报名多年，这次终于被排上。清晨从厦门起飞，一路向西，离家越来越远，辗转奔波至晚上9点才抵达泾源县。 当地乳腺外科多为男医生，加上传统观念束缚，女性患者羞于就诊，宁可坐4小时车去西安求医。林菊丽向院长申请组建一支全女性医护团队。仅用一天，专科门诊便组建起来。她带领团队下乡义诊一个月，当地护士当起语言“翻译”，“厦门的林医生”名声很快传开，患者纷至沓来。 当时，一位肉芽肿性乳腺炎患者每周末都要坐4小时车去西安治疗，往返奔波，已有数月之久。林菊丽接手后，先用药控制，再择机手术，患者逐渐康复。
F | 如今，两人仍保持联系，患者定期把复查报告发来，每次都念叨一句话：“希望你回来走走。” 林菊丽深知，留下技术比看病更重要。她发现，由于专业技术力量薄弱，当地乳腺疾病普查率偏低，许多患者因此延误治疗。自己援宁一年，能做的终究有限，必须把技术留下。她多方奔走，手把手教当地女医生，推广创伤小、恢复快的微创手术——这项技术操作难度适中，尤其适合县级医院开展，患者术后即可出院，无需反复奔波，特别适合当地交通不便的实际状况。 令林菊丽欣慰的是，一年间她在多个帮扶点累计完成微创手术110多台，患者术后反馈良好。但她也坦承一个遗憾：由于帮扶期仅一年，当地医生尚未能独立掌握这项技术，“希望未来能有专业技术人员接力，让这项技术真正在泾源县扎根，持续惠及当地百姓”。 这也让林菊丽在实践中摸索出一条新路：她不局限于定点单位泾源县人民医院，而是主动联系周边医疗机构，多点开展手术、参与义诊筛查。这种打破“定点帮扶”壁垒的做法，获得当地各医疗单位以及主管部门的高度认可，并将其作为典型推广——后期前往宁夏的专技人员，可以借鉴这一模式，形成跨区域的“专技人员共享”格局。各专业医生短缺时，不同县、区之间可以互通有无、协调支援，让有限的优质医疗资源服务更多群众。
G | 像林菊丽这样的援宁厦门医生，三十年来从未断档。
H | 厦门医疗队跨越山海，用医术治愈病痛，用仁心温暖人心，接力续写闽宁协作新篇。林菊丽离开泾源县那天，许多患者拉着她的手，重复着那句最朴素的话：“真希望你一直都在这里。”（厦门日报记者 何无痕）。
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