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【假期通知】2025年元旦假期致家长一封信_我的网站

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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)
    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, 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)
    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)
。    放          假          通          知          尊敬的家长朋友,您们好:          伴随着孩子们的欢声笑语,2024年即将画上圆满的句号,感谢家长朋友们一直以来对幼儿园工作的理解与支持!新的一年,让我们继续携手向前,陪伴孩子们健康快乐成长!          根据《国务院办公厅关于2025年部分节假日安排的通知》内容,现将我园2025年元旦放假安排通知如下:                    一          二          三          四          五          六          日          30          三十          31          腊月          01          元旦          02          初三          03          初四          04          初五          05          小寒                    放假时间:          2025年1月1日(星期三),共1天     返园时间:          2025年1月2日(星期四),正常回园                    假期安全温馨提示                    为使孩子们度过一个安全祥和、文明愉快的元旦假期,美好居幼儿园提醒您:          1.交通安全:不要让幼儿在马路上玩耍、嬉闹。过马路要走人行横道斑马线,在有天桥和过街地道的路段,应自觉走天桥或地道。

二 | 听从交通警察的指挥,遵守交通规则,做到红灯停,绿灯行。         2.冬季预防传染病:近期传染病高发,假期中请家长尽量避免带孩子去人流较多的公共场所,以免交叉感染。提醒孩子多喝水,勤洗手;加强锻炼,合理安排好作息。外出用餐做好个人卫生防护工作,避免去人群聚集场所外出务必遵守秩序、避免拥挤。         3.防拐骗:教育幼儿不给陌生人开门,跟大人外出时不乱跑,一旦走失在原地等待不乱走动,主动找警察叔叔、保安寻求帮助。不随便跟陌生人走,不随便吃陌生人给予的食物。父母无论什么时候都不能将幼儿放在视线外面。         4.亲子时光:          多抽时间与孩子交流、沟通,增进亲子感情,跟孩子聊聊元日的来由、发展变化相关传说、习俗文化等。元旦走亲访友时让孩子学会敬爱长辈,懂礼貌,会与别人交往;做一个自理小主人,主动做一些家务,做好自我服务。         新年将至万象更新,每一年的元旦都是一个全新的开始,在这新旧交替之际,美好居幼儿园祝大家身体健康、阖家幸福!                              广州市天河区美好居幼儿园           2024年12月26日。

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