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大众 CEO 奥博穆称下一轮裁员半数在德国发生，劳资关系紧张加剧_我的网站
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On the island, artificial intelligence (AI) systems are helping doctors interpret medical images, while remote consultations connect local physicians with specialists thousands of kilometers away.
Bridging this distance is Yuan Gang, a radiologist with the 35th Chinese medical team in Zanzibar, who combines local imaging, cloud-based AI analysis, and real-time specialist consultations.
For years, Zanzibar's healthcare system has faced challenges in diagnosing complex diseases, particularly because of limited imaging expertise, heavy workloads, and the lack of advanced diagnostic tools, said local physician Haitham Hamudu.
Imaging interpretation, often described as the "eyes" of modern medicine, has been especially constrained by limited expertise, heavy workloads, and a lack of advanced tools, Haitham said.
By linking the hospital's imaging system with the First People's Hospital of Lianyungang in east China's Jiangsu Province, he has introduced a three-layer diagnostic approach, which includes initial reading by local doctors, AI-assisted detection and classification, and quality control through Chinese specialist review.
This hybrid model is enabling doctors in Zanzibar to access the precision and standards of top-tier Chinese hospitals without requiring patients to leave the island.
"Technology is allowing us to overcome distance and resource gaps," Yuan said. "It is not just about solving one case, but about building a system that improves care for many patients."
One of the most striking cases involved a young Zanzibari child suffering from recurrent vomiting and lethargy.
After reviewing the child's Magnetic Resonance Imaging scans, Yuan diagnosed hydrocephalus but found the underlying cause unclear. He immediately initiated a remote consultation with neuroradiology experts in the Chinese city of Lianyungang.
By jointly reviewing the imaging data and clinical records, the team identified the hidden cause, provided a precise diagnosis and treatment recommendations, giving local doctors a clear path forward and the child a renewed chance at recovery.
Beyond individual cases, Yuan has introduced AI-powered imaging tools to improve diagnostic accuracy in Zanzibar.
He said many women have dense breast tissue, making breast cancer harder to detect with conventional mammography. AI-assisted mammography now analyzes images, classifies lesions using the internationally recognized Breast Imaging Reporting and Data System, and helps doctors assess malignancy risk.
In one case, a 42-year-old woman with mild breast pain showed no obvious abnormalities on routine examination. AI, however, detected two hidden nodules and accurately classified their risk, helping doctors avoid unnecessary procedures while ensuring timely follow-up.
Similarly, AI-assisted lung imaging is improving the early detection of pulmonary nodules that are often missed in manual readings.
In one case, a 56-year-old man with a chronic cough was initially diagnosed with inflammation. Yuan's review, supported by AI analysis, identified four small nodules, including one with high-risk features, prompting closer monitoring and potentially preventing the progression of an early tumor.
Beyond diagnosis, Yuan is helping local doctors adopt AI tools, standardized reporting systems, and structured diagnostic methods through hands-on training and case-based teaching, improving diagnostic accuracy while strengthening local capacity.
The AI imaging initiative is part of a broader digital healthcare partnership between China and Tanzania's Zanzibar, Yuan said.
The hospital and its partner institution in Lianyungang have established regular remote multidisciplinary team consultations, bringing together specialists in neurosurgery, oncology, and other disciplines to jointly review complex cases and develop treatment plans.
"I have never seen this kind of consultation before," said local physician Haitham. "So many experts working together, providing practical solutions. It is very inspiring."
Bao Zengtao, leader of the Chinese medical team, said remote consultations not only improve patient care but also enhance the professional capacity of local healthcare workers.
Yuan added that the ultimate goal is to build a sustainable model that can be expanded across Africa, ensuring more patients have access to accurate diagnosis and timely treatment.
。 8 月 25 日消息，据彭博社今天（25 日）报道，大众汽车集团 CEO 奥博穆表示，公司下一轮人员削减中约有一半需要发生在德国。此次表态，令大众汽车与员工之间本就因重组计划紧张的关系进一步加剧。当地时间 25 日，奥博穆在沃尔夫斯堡工厂向数千名员工解释，大众汽车的固定成本比竞争对手高出 30%，因此必须继续采取降本措施。对于外界经常提到的全球还需削减 5 万个岗位，他强调，这只是理论测算结果，并不是已经确定的目标。“我们的未来规划是大众汽车历史上规模最大的转型项目。现在每个人都必须参与其中。”劳方仍然态度强硬。大众汽车职工委员会主席丹妮拉 · 卡瓦洛另行发表声明指出，员工对管理层、特别是对 CEO 的信任已经受损，不过并非无法修复。双方在此次会议之前就已经关系紧张。当地一名工会负责人此前警告，如果奥博穆不撤回计划，工会愿意考虑发动罢工。58 岁的奥博穆已经把这轮改革视为自己任期内最重要的考验。他希望降低成本，同时重塑大众，以应对电动化、软件以及中国竞争对手快速崛起给汽车行业带来的变化。大众汽车特殊的治理结构意味着，奥博穆无法单方面下令削减岗位，而必须争取势力强大的劳方以及下萨克森州政府支持，后者对部分重大决策拥有否决权。大股东也在向管理层施压。
B | 控制大众汽车的亿万富豪保时捷-皮耶希家族旗下保时捷 SE 已经敦促管理层加快行动，并警告大众汽车正处于“历史性十字路口”。保时捷-皮耶希家族同样急于推动改革，大众和保时捷的利润下滑，已经压缩了该家族长期依赖的股息收入。大众汽车的盈利受到中国市场销量下降、德国本土成本高企以及工厂产能利用不足的严重影响。公司与部分竞争对手相比存在约 30% 的成本劣势，至少还需要削减 100 亿欧元（注：现汇率约合 785.51 亿元人民币）的间接成本。管理层正在制定新的方案，计划进一步削减欧洲每年 50 万辆的产能，同时精简管理层级，并大幅减少车型和配置版本。本周，奥博穆将直接前往工厂向员工阐述改革理由。他与大众汽车品牌 CEO 施文韬将在沃尔夫斯堡与员工沟通，CFO 阿诺 · 安特利茨等其他高管也将分赴大众汽车在德国的各家工厂，说明为什么进一步降本已经无法避免。劳方认为，员工正在被要求为管理层多年来在软件、电动车和中国市场战略上的错误买单，最多可能有 14 万个岗位面临风险。这一数字包括德国已经商定削减的约 5 万个岗位、管理层表示全球可能还需削减的另外 5 万个岗位，以及德国 4 家长期前景尚不明确工厂涉及的约 4 万个岗位。
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