Transarterial chemoembolization for hepatocellular carcinoma: Treatment algorithm proposed by Chinese College of Interventionalists (CCI) by Hai-Dong Zhu, Rong Liu, Zhong-Zhi Jia, Dong-Dong Xia, Bin-Yan Zhong, Wen-Zhe Fan, Jian Lu, Ming Zhao, Gao-Jun Teng

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Deep-learning prediction of cardiovascular outcomes from routine retinal images in individuals with type 2 diabetes by Mohammad Ghouse Syed, Emanuele Trucco, Muthu R. K. Mookiah, Chim C. Lang, Rory J. McCrimmon, Colin N. A. Palmer, Ewan R. Pearson, Alex S. F. Doney, Ify R. Mordi

“…AI retinal assessment might allow a one-stop CVD risk assessment at routine retinal screening. …”
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Cooperative inference analysis based on DNN convolutional kernel partitioning by Jialin ZHI, Yinglei TENG, Xinyang ZHANG, Tao NIU, Mei SONG

“…With the popularity of intelligent chip in the application of edge terminal devices, a large number of AI applications will be deployed on the edge of networks closer to data sources in the future.The method based on DNN partition can realize deep learning model training and deployment on resource-constrained terminal devices, and solve the bottleneck problem of edge AI computing ability.Thekernel based partition method (KPM) was proposed as a new scheme on the basis of traditional workload based partition method (WPM).The quantitative analysis of inference performance was carried out from three aspects of computation FLOPS, memory consumption and communication cost respectively, and the qualitative analysis of the above two schemes was carried out from the perspective of flexibility, robustness and privacy of inference process.Finally, a software and hardware experimental platform was built, and AlexNet and VGG11 networks were implemented using PyTorch to further verify the performance advantages of the proposed scheme in terms of delay and energy consumption.It was concluded that, compared with the WPM scheme, the KPM scheme had better DNN reasoning acceleration effect in large-scale computing scenarios.And it has lower memory usage and energy consumption.…”
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A Comparative Analysis of Data-Driven Empirical and Artificial Intelligence Models for Estimating Infiltration Rates by Mohammad Zakwan, Majid Niazkar

“…Finally, based on the comparative analysis, implementation of AI-based models, as a more accurate alternative, is suggested for estimating infiltration rates in hydrological models.…”
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Research progress of artificial intelligence in evaluating the efficacy of neoadjuvant chemotherapy for breast cancer by Wei Wei, Menghang Ma, Zhenyu Liu

“…The evolution of artificial intelligence (AI) technologies has precipitated the delineation and quantification of imaging-based phenotypic features, thereby translating these structural modifications into quantifiable data alterations. …”
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QnA Chatbot with Mistral 7B and RAG method: Traffic Law Case Study by Muhammad Roiful Anam, Agus Subhan Akbar, Heru Saputro

“…The results are expected to support the development of artificial intelligence (AI) in Indonesia's legal system and provide practical guidance for applying AI technology in other areas of law.…”
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Adrenaline Injection Plus Argon Plasma Coagulation versus Adrenaline Injection Plus Hemoclips for Treating High-Risk Bleeding Peptic Ulcers: A Prospective, Randomized Trial by Seyed Alireza Taghavi, Seyed Mohammad Soleimani, Seyed Mohammad Kazem Hosseini-Asl, Ahad Eshraghian, Hajar Eghbali, Seyed Mohsen Dehghani, Bita Ahmadpour, Mehdi Saberifiroozi

“…The present study aimed to compare argon plasma coagulation (APC) + adrenaline injection (AI) with hemoclips + AI for the treatment of high-risk bleeding peptic ulcers.…”
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Convergence of evolving artificial intelligence and machine learning techniques in precision oncology by Elena Fountzilas, Tillman Pearce, Mehmet A. Baysal, Abhijit Chakraborty, Apostolia M. Tsimberidou

“…Abstract The confluence of new technologies with artificial intelligence (AI) and machine learning (ML) analytical techniques is rapidly advancing the field of precision oncology, promising to improve diagnostic approaches and therapeutic strategies for patients with cancer. …”
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Constructing an Artificial Intelligent Deep Neural Network Battery for Tongue Region Segmentation and Tongue Characteristic Recognition by Tian-Xing Yi, Jian-Xin Chen, Xue-Song Wang, Meng-Jie Kou, Qing-Qiong Deng, Xu Wang

“…Objective: This study aimed to construct a two-stage deep learning framework to segment and recognize tongue images and enhance the accuracy and efficiency of artificial intelligence (AI) tongue diagnosis in traditional Chinese medicine (TCM). …”
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Survey of artificial intelligence data security and privacy protection by Kui REN, Quanrun MENG, Shoukun YAN, Zhan QIN

“…Artificial intelligence and deep learning algorithms are developing rapidly.These emerging techniques have been widely used in audio and video recognition, natural language processing and other fields.However, in recent years, researchers have found that there are many security risks in the current mainstream artificial intelligence model, and these problems will limit the development of AI.Therefore, the data security and privacy protection was studied in AI.For data and privacy leakage, the model output based and model update based problem of data leakage were studied.In the model output based problem of data leakage, the principles and research status of model extraction attack, model inversion attack and membership inference attack were discussed.In the model update based problem of data leakage, how attackers steal private data in the process of distributed training was discussed.For data and privacy protection, three kinds of defense methods, namely model structure defense, information confusion defense and query control defense were studied.In summarize, the theoretical foundations, classic algorithms of data inference attack techniques were introduced.A few research efforts on the defense techniques were described in order to provoke further research efforts in this critical area.…”
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Artificial intelligence and natural language processing for easy-to-read texts by Horacio Saggion

“…However, in spite of AI hype, the problem persists. Current NLP models such as large language models (LLMs) are still not well understood, and their use in the development of text simplification needs careful assessment. …”
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Revenue management, operations research and artificial intelligence: tools application as support to decision makers in parking industry by Xiomara Maldonado, Griselle Centeno

“…El objetivo de este trabajo, es motivar estudios orientados al desarrollo de las metodologías que permitan optimimizar el beneficio en las instalaciones del estacionamiento mediante el uso de técnicas de revenue (RM), investigación de operaciones (O) e inteligencia artificial (AI). Para lograr este objetivo, primero, se desarrolla un breve resumen sobre todas esas técnicas y algunas aplicaciones en la industria del estacionamiento, seguido por algunas ideas orientadas al desarrollo de metodologías para alcanzar máximo beneficio, considerando como relevante la inclusión las técnicas de AI como herramienta cualitativa en el pronóstico de la demanda y la optimización de tarifas.…”
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Cybersecurity e sovranità digitale nella protezione dei dati personali by Elisa Sorrentino, Anna Federica Spagnuolo

“…In risposta ai rischi e alla complessità crescenti, sono necessarie misure legislative più ampie e mirate. …”
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An Artificial Intelligence Method for Asphalt Pavement Pothole Detection Using Least Squares Support Vector Machine and Neural Network with Steerable Filter-Based Feature Extractio... by Nhat-Duc Hoang

“…This study establishes an artificial intelligence (AI) model for detecting pothole on asphalt pavement surface. …”
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Artificial Intelligence and the Financial Security of the State on the Example of Poland by Elżbieta Feret

“…These modern technologies identified with artificial intelligence technology (hereinafter referred to as AI – artificial intelligence) have been, to an increasing extent, also used in the area related to the financial aspects of the functioning of Poland. …”
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Machine learning and facial recognition for down syndrome detection: A comprehensive review by Khosro Rezaee

“…The findings suggest that while AI-driven facial recognition systems hold promise in enhancing diagnostic accuracy, they must be complemented with traditional clinical methods and improved datasets to ensure reliable and equitable healthcare outcomes.…”
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Enhancing Energy Efficiency in Photovoltaic Systems through Smart Technology Integration: Innovations and Future Perspectives by Lin Caiwei

“…As demand for renewable energy rises, innovations in smart artificial intelligence (AI), the Internet of Things (IoT), and big data analytics are being utilized to enhance the efficiency and reliability of PV systems. …”
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RESEARCH ON THE INTEGRATION OF ARTIFICIAL INTELLIGENCE IN MBA LITERATURE SEARCH COURSE INSTRUCTION by Xiaofeng Zhang, Siqi Zhang

“…This paper examines the current state and challenges of integrating artificial intelligence (AI) in the instruction of MBA literature search courses. …”
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Deep and Reinforcement Learning Technologies on Internet of Vehicle (IoV) Applications: Current Issues and Future Trends by Lina Elmoiz Alatabani, Elmustafa Sayed Ali, Rania A. Mokhtar, Rashid A. Saeed, Hesham Alhumyani, Mohammad Kamrul Hasan

“…Recently, artificial intelligence (AI) technology has great attention in transportation systems, which led to the emergence of a new concept known as Internet of Vehicles (IoV). …”
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Integrating Artificial Intelligence, Internet of Things, and Sensor-Based Technologies: A Systematic Review of Methodologies in Autism Spectrum Disorder Detection by Georgios Bouchouras, Konstantinos Kotis

“…This paper presents a systematic review of the emerging applications of artificial intelligence (AI), Internet of Things (IoT), and sensor-based technologies in the diagnosis of autism spectrum disorder (ASD). …”
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