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

A | 北京8月21日电 (记者 陈杭)2026世界机器人大会具身智能产融实践暨“投创之星”路演20日在北京举办,以“穿透技术迷雾,看见产业真相”为主线,串联起思想对话与产融对接两大板块。 中国电子学会副秘书长王天虹表示,当前,新一轮科技革命和产业变革深入发展,推动具身智能加快发展,既需要持续加强技术创新,也需要进一步促进创新链、产业链、资金链、人才链深度融合。

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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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C | 中国电子学会机器人分会主任委员,香港大学机器人与自动化讲座教授、数据与系统工程系主任、新兴技术研究所所长席宁与北京航空航天大学机器人研究所名誉所长、中关村智友研究院院长、智友·雅瑞科创平台发起人王田苗开展技术对话。 针对处理物理世界的人工智能(AI)模型,席宁表示,这类模型是四维模型,不仅要处理逻辑关系,还需处理空间、时间与互动关系。作为一种新兴技术,其落地一定会从刚需、高附加值产业开始,再辐射到其他领域。 王田苗表示,未来中国诞生出世界具身智能头部企业是历史逻辑的必然,占有重要的一席之地。未来五到十年,具身智能不会赢者通吃,而将百花齐放。 犀准机器人董事长兼CEO许勇从精密制造的技术落地角度出发,鼓励具身智能企业不要害怕面对新的未知领域,要勇敢面对步入具身时代后的多重挑战,譬如团队核心能力的变化、不同类型人才团队的融合,要勇于走“难而正确的路”,从短期业务迈向长期业务。 路演现场,东土科技、奇迹智慧、天准星智等9家优质项目依次登台,清晰呈现技术壁垒、落地进展与商业规划。 作为本届大会期间聚焦具身智能垂直赛道的核心专场,活动由中国电子学会主办、智友·雅瑞科创平台协办。
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