琅琊榜
时隔30多年，美国重新造这种舰！_我的网站
一 |
美国海军海上系统司令部近日宣布，美国海军“星座”级护卫舰首舰已在意大利芬坎蒂尼集团旗下的马里内特造船厂开工建造，预计2026年交付。美海军“星座”级护卫舰性能如何？美国为何时隔多年重新开建护卫舰？ 就相关话题，军事观察员周伟政 深入解析。 
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.
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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.
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二 | “星座”级护卫舰是美海军最新一代护卫舰，该型舰舰长约150米，宽约19米，满载排水量7000吨左右，最高航速超26节。军事观察员周伟政认为，“星座”级护卫舰设计中规中矩，性能务实。周伟政： “星座”级护卫舰放弃了此前追求的“科幻”“超前”路线，显得更加务实。该型舰艇吨位较大，自持力和适航性强，适合远洋部署，防空反导能力突出，且具有较大改装潜力。
三 | 由于采用了大量成熟技术装备，设计风险小，“星座”级护卫舰能够被以较快的速度批量建造。据了解，美国从上世纪90年代开始，逐步减少护卫舰的数量。自从最后一艘“佩里”级护卫舰退役至今，美国已近十年没有护卫舰了。军事观察员周伟政分析，美国重新批量建造护卫舰与其强力推行“大国竞争”战略密切相关。周伟政：美国停止建造和使用护卫舰是因为冷战后，美国海军自认为，已没有能与之抗衡的海上力量了。 美国的军事战略从“争夺制海权”转变为“由海制陆”“前沿存在”，重点打造偏重于对陆打击的“朱姆沃尔特”级驱逐舰以及濒海战斗舰。美国重新开建新护卫舰，最根本的原因是美国军事战略、海军战略再次转型，要打所谓的“大国高端战争”，与地区强国争夺制海权。
四 | 加上美国到处推行所谓“航行自由”“军事存在”，迫切需要新型护卫舰承担低烈度条件下的常规任务。
五 | 据报道，美海军计划总共建造20艘“星座”级护卫舰。军事观察员周伟政分析，美国加紧全球海上扩张但力有不逮，批量建造“星座”级护卫舰就是为了避免老旧舰艇退役后美海军面临“无舰可用”的尴尬。周伟政：由于面临多型舰艇逐步退出现役的状况，美国海军计划采购20艘“星座”级护卫舰，与下一代万吨级DDG(X)驱逐舰配套，作为航母编队的属舰， 承担编队防空反潜任务，同时也可能会以单舰或小编队形式，前往热点区域，承担军演、护航、巡逻等任务。
六 | 军事观察周伟政指出，由于资金难保障和建造能力不足，“星座”级护卫舰能否如期完成批量建造计划，还存在很大不确定性。周伟政：美国计划一口气建造多艘新型护卫舰，难度比较大。
七 | 一方面，“星座”级护卫舰单舰造价高达16亿美元，一下子采购20艘，美国国会愿不愿意拨款很难说。另一方面，美国造船厂的能力早已经不复当年，建造新舰的速度赶不上老舰退役的速度，而且造船厂的产能也不是单靠财政拨款就能短期内提升的。如此看来，美国海军的造舰计划，面临很大的不确定性。
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