Multimodal Autism Spectrum Disorder Method Using GCN With Dual Transformers by Tianming Song, Zhe Ren, Jian Zhang, Yawei Qu, Yingying Cui, Zhengda Liang

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Medical students’ attitudes toward AI in education: perception, effectiveness, and its credibility by Abdul Sami, Fateema Tanveer, Khadeejah Sajwani, Nafeesa Kiran, Muhammad Ahsan Javed, Dilber Uzun Ozsahin, Khalid Muhammad, Yasir Waheed

“…Abstract Background The rapid advancement of artificial intelligence (AI) has revolutionized both medical education and healthcare by delivering innovative tools that enhance learning and improve overall outcomes. …”
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Approaching the general quantification of functional information by Robert Kudelić

“…Abstract Information is everywhere, especially in the digital, artificial intelligence, and big data worlds we live in. …”
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Proximity-based solutions for optimizing autism spectrum disorder treatment: integrating clinical and process data for personalized care by Annarita Vignapiano, Annarita Vignapiano, Francesco Monaco, Francesco Monaco, Stefania Landi, Luca Steardo, Carlo Mancuso, Claudio Pagano, Gianvito Petrillo, Alessandra Marenna, Martina Piacente, Stefano Leo, Carminia Marina Ingenito, Rossella Bonifacio, Benedetta Di Gruttola, Marco Solmi, Marco Solmi, Marco Solmi, Marco Solmi, Maria Pontillo, Giorgio Di Lorenzo, Giorgio Di Lorenzo, Alessio Fasano, Alessio Fasano, Alessio Fasano, Giulio Corrivetti, Giulio Corrivetti

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AI for chemistry teaching: responsible AI and ethical considerations by Blonder Ron, Feldman-Maggor Yael

“…This paper discusses the ethical considerations surrounding generative artificial intelligence (GenAI) in chemistry education, aiming to guide teachers toward responsible AI integration. …”
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An Evaluation on the Potential of Large Language Models for Use in Trauma Triage by Kelvin Le, Jiahang Chen, Deon Mai, Khang Duy Ricky Le

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Intellectual measurement and evaluation of the results of customs authorities’ activities by G. I. Goremykina, Yu. E. Gupanova

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Digital transformation and corporate strategy by A. L. Denisova, A. N. Lopatnikov

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不同年资神经内科医师对数智化诊疗的认知、态度及功能需求现状调查 A Survey on the Cognition, Attitude, and Functional Requirements of Digital Intelligent Diagnosis and Treatment Among Neurologists of Different Se... by 邳靖陶1*，尹伟2，3*，宋晓微1，武海岩3，梁怡凡1，高策舒1，魏宸铭1，桑振华1，安志明3，江燕敏3，吴雅婷1，牟婧宇1，赵心怡1，陈乐1，武剑1，4，5（*第一作者） (PI Jingtao1*, YIN Wei2,3*, SONG Xiaowei1, WU Haiyan3, LIANG Yifan1, GAO Ceshu1, WEI Chenming1, SANG Zhenhua1, AN Zhiming3, JIANG Yanmin3, WU Yating1, MU Jingyu1, ZHAO Xinyi1, CHEN Le1, WU Jian1,4,5 (*contributed equally) )

“…目的 探讨不同年资神经内科医师对人工智能（artificial intelligence，AI）辅助诊疗的认知、态度及功能需求，分析其主要关注点和担忧，为AI技术在神经内科的应用推广提供依据。 …”
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Intelligent Models and Architectures for Global Learning-Oriented Cooperation by Ana M. Gonzalez de Miguel, Antonio Sarasa-Cabezuelo

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EXCHANGE RATE DETERMINATION BY ARTIFICIAL NEURAL NETWORKS: TURKISH CASE by Ayça Sarıalioğlu Hayali, Hasan Babacan

“…Artificial Neural Networks as one of the Artificial Intelligence applications, which is the leading candidate for the greatest innovation of the century, has been started to be used in solving the complex problems of the economy for a while. …”
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THE BODY OF «GENERAL AI» AS AN ONTO-SOCIAL VERIFIER by Станіслав БЕСКАРАВАЙНИЙ

“…And the body of general AI, as a subject, is that part of the technosphere which it sets goals and correlates with reality better than other subjects; The dynamic nature of the corporeality of general AI has been established: in the context of the rapid development of artificial intelligence capabilities, it is necessary to constantly improve your body and deepen its reflection for use as a verifier in both senses; It has been established that the body of general AI, upon achieving a balance of ontological and social verification, can be an instrument for removing the contradiction between AI, as an individual, and AI, as a subject. …”
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Application of Conversational AI Models in Decision Making for Clinical Periodontology: Analysis and Predictive Modeling by Albert Camlet, Aida Kusiak, Dariusz Świetlik

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NEW ROLE FOR THE TEACHER: PREVENT STUDENTS FROM COMPLETELY ABANDONING THEMSELVES TO AI AND RELINQUISHING CONTROL OVER THEIR LEARNING. Illustration for foreign languages for specifi... by Felicia CONSTANTIN

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Large language models generating synthetic clinical datasets: a feasibility and comparative analysis with real-world perioperative data by Austin A. Barr, Joshua Quan, Eddie Guo, Emre Sezgin, Emre Sezgin

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COGNITIVE FEATURES OF MANAGERIAL DECISION MAKING IN TERMS OF THE DIGITAL ECONOMY. THE RESULTS OF EXPERIMENT by V. V. Degtyareva, D. A. Sozaeva

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Convolutional neural networks for diabetic retinopathy detection by Darwin Patiño-Pérez, Luis Armijos-Valarezo, Luis Chóez-Acosta, Freddy Burgos-Robalino

“… The early detection of diabetic retinopathy remains a critical challenge in medical diagnostics, with deep learning techniques in artificial intelligence offering promising solutions for identifying pathological patterns in retinal images. …”
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Health profession students’ perceptions of ChatGPT in healthcare and education: insights from a mixed-methods study by Lior Moskovich, Violetta Rozani

“…Abstract Objective The aim of this study was to investigate the perceptions of health profession students regarding ChatGPT use and the potential impact of integrating ChatGPT in healthcare and education. Background Artificial Intelligence is increasingly utilized in medical education and clinical profession training. …”
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The Interfaces Twitter Elections Dataset: Construction process and characteristics of big social data during the 2022 presidential elections in Brazil. by Sylvia Iasulaitis, Alan Demétrius Baria Valejo, Bruno Cardoso Greco, Vinicius Gonçalves Perillo, Guilherme Henrique Messias, Isabella Vicari, with the Interfaces—Center for Sociopolitical Studies of Algorithms and Artificial Intelligence

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Radiomics Features Based on MRI-ADC Maps of Patients with Breast Cancer: Relationship with Lesion Size, Features Stability, and Model Accuracy by Begumhan BAYSAL, Hakan BAYSAL, Mehmet Bilgin ESER, Mahmut Bilal DOGAN, Orhan ALIMOGLU

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