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China-Tanzania healthcare cooperation brings AI-powered diagnosis to patients_我的网站

A |     据潇湘晨报：4月24日，江苏的赵先生（化姓）告诉潇湘晨报记者，一次出差途中，他在东郊到家平台预约了上门中式推拿，按摩快结束时，女技师突然趴在他身上，大尺度触摸其隐私部位，要求他“加钟”。    

    This photo taken on May 28, 2026 shows Yuan Gang, a radiologist with the 35th Chinese medical team in Zanzibar, discussing MRI images with local doctors at Mnazi Mmoja Hospital in Zanzibar, Tanzania. (The 35th Chinese medical team in Zanzibar/Handout via Xinhua)In a radiology room at Lumumba Regional Hospital in Tanzania's Zanzibar, a quiet technological shift is reshaping how doctors detect disease, make decisions, and save lives.
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.
    This file photo taken on Oct. 8, 2025 shows Yuan Gang, a radiologist with the 35th Chinese medical team in Zanzibar, talking with a local resident during a community health outreach activity in Zanzibar, Tanzania. (The 35th Chinese medical team in Zanzibar/Handout via Xinhua)
    This file photo taken on Oct. 8, 2025 shows Yuan Gang, a radiologist with the 35th Chinese medical team in Zanzibar, performing an ultrasound examination on a patient at a local health facility during a community health outreach activity in Zanzibar, Tanzania. (The 35th Chinese medical team in Zanzibar/Handout via Xinhua)
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B | 　　赵先生称，他拒绝了对方的要求，并向平台投诉。

C | “半个月过去，平台没有给我解释。我现在也不知道，这个事情是怎么处理的，技师有没有被处罚……”　　“30分钟后，技师让我翻身并且脱去了我的浴袍，开始按摩腿部。一开始还正常，有意无意触碰到我的隐私区域，服务快结束时，脱去工作服，趴在我身上，发出一些声音，并用手大尺度抚摸我的隐私区域，要求加钟。”赵先生告诉记者，他拒绝了对方，并且假装玩手机，开始录像留证。　　赵先生提供的视频里，女技师趴在他的身上，用手抚摸赵先生隐私区域，说道“给人家加个钟嘛，哪怕升个级嘛，小哥哥……”赵先生表示，“不想搞这种”。视频里，女技师电话里又接了一个单后，拿起衣服离开。　　“我觉得受到了侮辱。”赵先生告诉记者，事情发生后，他向平台提供视频并投诉，要求退费且赔偿。

D | 但目前平台仅退款，没有其他处理结果。“这个技师按摩轻飘飘的，没有让我享受到正常的按摩服务，退费是基本的。

E | 其次，按摩快结束时实施骚扰，我是单身，但如果我没有把持住，那就是触犯法律了，而且她的行为冒犯到我了。

F | 投诉已经半个月了，平台的回复是技师个人行为，与平台无关，不会进行其他处理。

G | ”　　而就在今年“315”期间，因“涉黄加钟”“不加钟就不提供服务”等问题，东郊到家被多家媒体点名。

H | 　　其时东郊到家回应“涉黄风波”称，平台正规，涉黄是技师个人行为。　　时至今日，检索黑猫投诉平台发现，对东郊到家的各种投诉仍频频出现，其中不乏“涉黄”内容，平台“不作为”也是热门吐槽项。　　事实上，无论怎样撇清“涉黄是技师个人行为”，东郊到家平台的监管责任无法规避。　　东郊到家创始人汤帆曾表示，在合规方面，东郊到家起草且执行《平台商户违规治理白皮书》，采用涉黄专项管控体系，研发AI大数据模型，把对违规商户的预警准确度提高了400%。但究竟实际效果如何，东郊到家能否打赢“涉黄攻坚战”，做到真正“专业、正规、安全、绿色”，还有待进一步观察。

I | 　　4月24日，针对赵先生的投诉，潇湘晨报记者拨通了东郊到家的客服热线，一名工作人员表示，“核实到这个订单已经处理完成，有核实调查，该订单没有相应的情况”。此外，她表示，平台绝对不会允许任何违规的项目。“顾客反馈之后，我们会进行核实处理的，核实到如果有相应的情况，肯定会严肃处罚相关技师，并且交公安进行处理。”（中国小康网综合潇湘晨报、中国青年网）。

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Published on:06:03:02