The application of ultrasound artificial intelligence in the diagnosis of endometrial diseases: Current practice and future development
作者：
Wei, Qiao;Xiao, Zhang;Liang, Xiaowen;Guo, Zhili;Zhang, Yanfen;...
期刊：
DIGITAL HEALTH ,2025年11:20552076241310060 ISSN：2055-2076
通讯作者：
Chen, ZY
作者机构：
[Wei, Qiao; Zhang, Yanfen; Guo, Zhili; Liang, Xiaowen; Chen, Zhiyi] Univ South China, Affiliated Changsha Cent Hosp, Coll Hunan Prov, Hengyang Med Sch,Key Lab Med Imaging Precis Theran, Changsha, Peoples R China.;[Wei, Qiao; Xiao, Zhang; Guo, Zhili; Liang, Xiaowen; Chen, Zhiyi] Univ South China, Inst Med Imaging, Hengyang Med Sch, Hengyang, Peoples R China.;[Wei, Qiao; Xiao, Zhang] Univ South China, Dept Comp Sci & Technol, Hengyang, Peoples R China.;[Xiao, Zhang] Univ South China, Coll Mech Engn, Hengyang, Peoples R China.;[Zhang, Yanfen; Chen, Zhiyi] Univ South China, Affiliated Changsha Cent Hosp, Hengyang Med Sch, Dept Med Imaging, Changsha, Peoples R China.
通讯机构：
[Chen, ZY ] U;Univ South China, 28 Changsheng West Rd, Hengyang, Peoples R China.
关键词：
Artificial intelligence;deep learning;disease diagnosis;endometrium;ultrasound images
摘要：
Diagnosis and treatment of endometrial diseases are crucial for women's health. Over the past decade, ultrasound has emerged as a non-invasive, safe, and cost-effective imaging tool, significantly contributing to endometrial disease diagnosis and generating extensive datasets. The introduction of artificial intelligence has enabled the application of machine learning and deep learning to extract valuable information from these datasets, enhancing ultrasound diagnostic capabilities. This paper reviews the progress of artificial intelligence in ultrasound image analysis for endometrial diseases, focusing on applications in diagnosis, decision support, and prognosis analysis. We also summarize current research challenges and propose potential solutions and future directions to advance ultrasound artificial intelligence technology in endometrial disease diagnosis, ultimately improving women's health through digital tools.
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英文
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Minimization of Logistics Cost and Carbon Emissions Based on Quantum Particle Swarm Optimization
作者：
Wu, Daqing* ;Huo, Jiazhen;Zhang, Gefu;Zhang, Weihua
期刊：
Sustainability ,2018年10(10):3791 ISSN：2071-1050
通讯作者：
Wu, Daqing
作者机构：
[Zhang, Weihua; Wu, Daqing] Shanghai Ocean Univ, Coll Econ & Management, Shanghai 201306, Peoples R China.;[Wu, Daqing] Univ South China, Comp Sci & Technol Inst, Hengyang 421001, Peoples R China.;[Huo, Jiazhen; Wu, Daqing] Tongji Univ, Sch Econ & Management, Shanghai 20092, Peoples R China.;[Zhang, Gefu] Univ South China, Coll Econ & Management, Hengyang 421001, Peoples R China.
通讯机构：
[Wu, Daqing] S;[Wu, Daqing] U;[Wu, Daqing] T;Shanghai Ocean Univ, Coll Econ & Management, Shanghai 201306, Peoples R China.;Univ South China, Comp Sci & Technol Inst, Hengyang 421001, Peoples R China.
关键词：
logistics;carbon emissions;green supply chain;quantum-particle swarm optimization
摘要：
This paper aims to simultaneously minimize logistics costs and carbon emissions. For this purpose, a mathematical model for a three-echelon supply chain network is created considering the relevant constraints such as capacity, production cost, transport cost, carbon emissions, and time window, which will be solved by the proposed quantum-particle swarm optimization algorithm. The three-echelon supply chain, consisting of suppliers, distribution centers, and retailers, is established based on the number and location of suppliers, the transport method from suppliers to distribution centers, and the quantity of products to be transported from suppliers to distribution centers and from these centers to retailers. Then, a quantum-particle swarm optimization is described as its performance is validated with different benchmark functions. The scenario analysis validates the model and evaluates its performance to balance the economic benefit and environmental effect. © 2018 by the authors.
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英文
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A cognitive reliability model research for complex digital human-computer interface of industrial system
作者：
Jiang, Jianjun* ;Wang, Yiqun;Zhang, Li;Wu, Daqing;Li, Min;...
期刊：
Safety Science ,2018年108:196-202 ISSN：0925-7535
通讯作者：
Jiang, Jianjun
作者机构：
[Jiang, Jianjun; Wang, Yiqun; Zhang, Li; Li, Pengcheng; Xie, Tian; Dai, Licao] Univ South China, Human Factors Inst, Sch Management, Hengyang 421001, Hunan, Peoples R China.;[Jiang, Jianjun; Zhang, Li] Hunan Inst Technol, Sch Safety & Environm Engn, Hengyang 421002, Hunan, Peoples R China.;[Li, Min; Wu, Daqing] Univ South China, Sch Comp Sci & Technol, Hengyang 421001, Hunan, Peoples R China.;[Zhang, Anna; Wang, Shiwei; Shi, Xianyun; Li, Peiyao] Univ South China, Sch Econ & Management, Dept Informat Management & Informat Syst, Grade E Commerce 15, Hengyang 421001, Hunan, Peoples R China.
通讯机构：
[Jiang, Jianjun] U;[Jiang, Jianjun] H;Univ South China, Human Factors Inst, Sch Management, Hengyang 421001, Hunan, Peoples R China.;Hunan Inst Technol, Sch Safety & Environm Engn, Hengyang 421002, Hunan, Peoples R China.
关键词：
Digital human-computer interface;Cognitive reliability model;Bayesian network
摘要：
Nowadays, traditional human–machine interface has been converted into digital human–computer interface in most industrial control rooms, then, cognitive process and reliability are also bound to be different from traditional human–machine interface. Aiming at the situation, the authors in this paper propose a cognitive reliability model with influencing factors based on Bayesian network. Taking a nuclear power plant (Npp) as research background, taking simulative experiment as study way, parameter values in cognitive reliability mathematical model are obtained by analyzing much experimental data. The proposed model is reasonable, accurate, sensitive and convergent by analyzing experiment data. Cognitive error probabilities of some tasks regarding a hot transmission system (HTS) leak accident in a Npp are obtained according to the proposed model and simulative experiments. The model provides a simple and feasible approach to analyze cognitive reliability of operating process in digital human–computer interface. © 2017 Elsevier Ltd
语种：
英文
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Optimal design methods for a digital human-computer interface based on human reliability in a nuclear power plant: Part 2: The optimization design method for component quantity
作者：
Jiang, Jianjun* ;Zhang, Li;Xie, Tian;Wu, Daqing;Li, Min;...
期刊：
Annals of Nuclear Energy ,2017年106:247-255 ISSN：0306-4549
通讯作者：
Jiang, Jianjun
作者机构：
[Jiang, Jianjun; Zhang, Li] Hunan Inst Technol, Sch Safety & Environm Engn, Hengyang 421002, Hunan, Peoples R China.;[Jiang, Jianjun; Wang, Yiqun; Zhang, Mengjia; Xie, Tian] Univ South China, Sch Econ & Management, Human Factors Inst, Hengyang 421001, Hunan, Peoples R China.;[Li, Min; Wu, Daqing] Univ South China, Sch Comp Sci & Technol, Hengyang 421001, Hunan, Peoples R China.;[Peng, Yuyuan] South China Univ Technol, Guangzhou Coll, Sch Comp Engn, Guangzhou 510830, Guangdong, Peoples R China.;[Peng, Jie] GuangDong Univ Finance & Econ, Informat Sci Coll, Guangzhou 510320, Guangdong, Peoples R China.
通讯机构：
[Jiang, Jianjun] H;[Jiang, Jianjun] U;Hunan Inst Technol, Sch Safety & Environm Engn, Hengyang 421002, Hunan, Peoples R China.;Univ South China, Sch Econ & Management, Human Factors Inst, Hengyang 421001, Hunan, Peoples R China.
关键词：
Affinity error probability mapping function;Human reliability;Quantity of components;Quick convergence search method
摘要：
This is the second in a series of papers describing the optimal design method for a digital human-computer interface of nuclear power plant (Npp) from three different points based on human reliability. The purpose of this series is to explore different optimization methods from varying perspectives. This present paper mainly discusses the optimal design method for quantity of components of the same factor. In monitoring process, quantity of components has brought heavy burden to operators, thus, human errors are easily triggered. To solve the problem, the authors propose an optimization process, a quick convergence search method and an affinity error probability mapping function. Two balanceable parameter values of the affinity error probability function are obtained by experiments. The experimental results show that the affinity error probability mapping function about human-computer interface has very good sensitivity and stability, and that quick convergence search method for fuzzy segments divided by component quantity has better performance than general algorithm. © 2017 Elsevier Ltd
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英文
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