EEG Transformer for Classifying Students’ Epistemic Cognition States in Educational Contexts by Rosanna Yuen-Yan Chan

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Risk in management decisions of the modern organization and methods of management of this risk by Veronika Holomozenko, Yuliia Stasiuk

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The philosophical foundations of digital twinning by David J Wagg, Christopher Burr, Jason Shepherd, Zack Xuereb Conti, Mark Enzer, Steven Niederer

Subjects: “…artificial intelligence…”
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SURVEY OF MACHINE LEARNING APPLICATIONS IN MEDICAL IMAGING. ALGORITHMS AND TECHNOLOGIES by Marius Eremia Vlaicu POPA, Mihai CRUCERU, Bogdan DIACONU

Subjects: “…artificial intelligence…”
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Perceptions and attitudes towards AI among trainee and qualified radiologists at selected South African training hospitals by Ayanda I. Nciki, Linda T. Hlabangana

Subjects: “…artificial intelligence…”
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Spiritual tech and democracy: initial ethical reflections by Max Tretter

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FUZZY GROUPOIDS VERSUS LEFT INVARIANT FUZZY EQUIVALENCE RELATIONS by Mădălina Roxana BUNECI

Subjects: “…artificial intelligence…”
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Distinguishing glioblastoma from brain metastasis; a systematic review and meta-analysis on the performance of machine learning by Mohammad Amin Habibi, Reza Omid, Shafaq Asgarzade, Sadaf Derakhshandeh, Ali Soltani Farsani, Zohreh Tajabadi

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High-Accuracy Fault Location Detection in Double-Circuit Transmission Lines Utilizing Extreme Learning Machine Algorithm by Muhammad Hammad Saeed

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Exploring the performance of ChatGPT for numerical solution of ordinary differential equations by Saso Koceski, Natasa Koceska, Limonka Koceva Lazarova, Marija Miteva, Biljana Zlatanovska

Subjects: “…artificial intelligence (ai), differential equations, numerical solution, chatgpt…”
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Acceptance of artificial intelligence clinical assistant decision support system to prevent and control venous thromboembolism among healthcare workers: an extend Unified Theory of Acceptance and Use of Technology Model by Jingxian Wang, Yun Zhou, Yun Zhou, Kai Tan, Zhigang Yu, You Li

“…However, studies that focused on the acceptance of computerized tools for VTE prevention among healthcare workers were limited.ObjectiveThis study aims to explore what factors are influencing healthcare workers’ acceptance of the Artificial Intelligence Clinical Assistant Decision Support System (AI-CDSS) for VTE prevention based on the extended Unified Theory of Acceptance and Use of Technology (UTAUT).MethodsWe conducted a cross-sectional survey among healthcare workers in three grade-A tertiary hospitals in Shanxi, China. …”
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Can the Use of Artificial Intelligence-Generated Content Bridge the Cancer Knowledge Gap?... by Zehang Xie MA, Ru Chen MA, Wenjuan Ding MA

“…Objectives The cancer knowledge gap represents a significant disparity in awareness and understanding of cancer-related information across different demographic groups. Leveraging Artificial Intelligence-Generated Content (AIGC) offers a promising approach to personalize health education and potentially bridge this gap. …”
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A SYSTEMATIC ANALYSIS OF AI-EMPOWERED EDUCATIONAL TOOLS DEVELOPED IN INDIA FOR DISABLED PEOPLE by Shivani, Monika Gupta, Satinder Bal Gupta

Subjects: “…Artificial Intelligence…”
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AI Composers and Cyborg Performers: More-than-human Creativity in Music by Trump Sebastian

Subjects: “…artificial intelligence…”
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The Ecosystem of AI-Driven Robotics in Pediatric Neurorehabilitation by Tole Sutikno, Lina Handayani

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Machine learning in medicine: what clinicians should know by Jordan Zheng Ting Sim, Qi Wei Fong, Weimin Huang, Cher Heng Tan

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Nudibranch Suborders Classification based on Densely Connected Convolutional Networks by Timothy Christyan, Safitri Yuliana Utama, Bagus Tri Yulianto Darmawan, Faisal Dharma Adhinata

Subjects: “…Artificial Intelligence…”
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Metaverse: Technological evolution and social impact by Marković-Blagojević Marija, Radić Nikola, Cvjetković Milena

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Editorial: AI and machine learning application for neurological disorders and diagnosis by Kandala N. V. P. S. Rajesh, Venkata Mani Vakamulla, T. Sunil Kumar

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Leveraging paired mammogram views with deep learning for comprehensive breast cancer detection by Jae Won Seo, Young Jae Kim, Kwang Gi Kim

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