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Journal articles on the topic 'Meta AI'

Author: Grafiati

Published: 7 June 2025

Last updated: 16 July 2025

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1

Egesoy, Dr Ahmet. "Meta-Modeling of AI for Software Modularization." International Journal of Innovative Research in Computer Science & Technology 9, no. 1 (2021): 26–32. http://dx.doi.org/10.21276/ijircst.2021.9.1.6.

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Stokel-Walker, Chris. "Meta AI tackles impossible maths." New Scientist 264, no. 3515 (2024): 17. http://dx.doi.org/10.1016/s0262-4079(24)01929-8.

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Ajueyitse Otuedon, Martins, Gloria Ekemena Okonkwo, Samuel Ejiro Uwhejevwe-Togbolo, et al. "Impact of meta ai on accounting firm performance: implications for the hospitality business in Nigeria." Management (Montevideo) 3 (January 1, 2025): 138. https://doi.org/10.62486/agma2025138.

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Meta AI created by Meta Platforms Inc. has been a major force in improving accounting firms' performance. The Meta AI, is used in numerous industries, including accounting professionals, the Mata AI has the potential to revolutionize business operations and service delivery. Thus, Meta AI has the potential to streamline repetitive procedures in accounting, strengthen data analytic skills, and facilitate better decision-making. The study acknowledged that accounting firms can leverage Meta AI for a variety of purposes. Firms that use Meta AI technologies from the outset of their business cycle

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Zhang, Yingying, and Keng Siau. "Meta-Entrepreneurship." Journal of Global Information Management 32, no. 1 (2024): 1–21. https://doi.org/10.4018/jgim.364094.

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Metaverse entrepreneurship has emerged as an innovative topic alongside the development of generative AI, agentic AI and metaverse. This study conceptualizes meta-entrepreneurship as a novel form of entrepreneurial activity that enables value creation within virtual and physical realms and proposes an analytical theoretical framework based on a systematic literature review, observations, and focus group study. Our framework is structured around three layers (infrastructure, content, and experience) and two domains (metaverse-based operational domain and AI-based production domain), aims to con

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Baek, Daeun, WanSang Son, Ji Hoon Song, and MYUNGHYUN YOO. "Meta-analysis of learning effectiveness using generative AI." Korean Association for Educational Information and Media 30, no. 4 (2024): 1261–85. http://dx.doi.org/10.15833/kafeiam.30.4.1261.

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6

MIYAKE, Youichiro, Yuta MIZUNO, and Daiki SATOI. "A History of Formation of Meta AI and AI Director." Journal of Digital Games Research 13, no. 2 (2020): 1–12. http://dx.doi.org/10.9762/digraj.13.2_1.

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Ilya, Levin, Kojukhov Andrei, and Marom Michal. "Rethinking AI in Education: Highlighting the Metacognitive Challenge." BRAIN. Broad Research in Artificial Intelligence and Neuroscience 16, Special Issue 1 (2025): 250–63. https://doi.org/10.70594/brain/16.S1/21.

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Generative Artificial Intelligence (GenAI) is revolutionising education, but in doing so, it is often seen simply as a tool for automation and efficiency. This paper challenges this narrow perspective, arguing that GenAI’s transformative potential lies in fostering Meta-AI skills—specialised metacognitive competencies for engaging AI as a cognitive partner. Our objective is to explore how GenAI reshapes learning environments and necessitates a pedagogical shift, hypothesising that traditional education paradigms are insufficient without Meta-AI skills to navigate GenAI’s dyna

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Sunny, Orike, and S. Ene Donald. "Meta-Learning: Unleashing the Power of Self-Improving Artificial Intelligent (AI) Systems." Journal of Advances in Computational Intelligence Theory 5, no. 3 (2023): 12–27. https://doi.org/10.5281/zenodo.8223579.

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<em>Meta-learning, or learning to learn, is an emerging field within artificial intelligence (AI) that enables AI systems to acquire knowledge and adapt to new tasks. This paper explores the concept of meta-learning and its applications in enabling self-improving AI systems. It delves into key components and methodologies involved in meta-learning, discusses various approaches such as model-agnostic meta-learning (MAML) and recurrent neural networks (RNNs)</em><em>;</em><em> and examines applications, challenges, and ethical considerations. Through comprehensive analysis and review of existing

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de Vries, Marco. "Meta wil privédata gebruiken voor AI." Advocatenblad 104, no. 6 (2024): 62. http://dx.doi.org/10.5553/ab/0165-13312024104006017.

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Chen, Z. "On Continuous AI and Meta‐knowledge." Kybernetes 22, no. 4 (1993): 78–84. http://dx.doi.org/10.1108/eb005979.

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Biru, Irfan Ramzi, Riska Febriana Rahmawati, and Btari Adiella Duhita Salsabila. "Analysis of Motivation for Continued Use of Meta AI on WhatsApp: Uses and Gratification Theory Approach." Journal of Artificial Intelligence and Engineering Applications (JAIEA) 4, no. 3 (2025): 2162–68. https://doi.org/10.59934/jaiea.v4i3.1123.

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Advances in AI technology have brought innovations such as the Meta AI chatbot integrated on WhatsApp that are changing the way users interact digitally. However, there is little understanding of the factors that motivate the continued use of AI chatbot technology on messaging platforms. Adapting McLean & Osei-Frimpong's (2019) model, this study examines the motivations for using Meta AI on WhatsApp by analyzing the influence of utilitarian, hedonic, symbolic, social (social presence & social attractiveness) benefits, as well as the moderating role of perceived privacy risks. A quantit

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Permatasari, Nindy, and Priyambodo Priyambodo. "EVALUASI KUALITATIF AKURASI DAN KONSISTENSI HASIL VISUALISASI META AI DALAM MENGGAMBARKAN MORFOLOGI INDIVIDU GULMA PADA PERKEBUNAN KOPI DI INDONESIA." Jurnal Biogenerasi 10, no. 1 (2025): 635–44. https://doi.org/10.30605/biogenerasi.v10i1.5237.

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Popularitas penggunaan kecerdasan buatan semakin peningkat di kalangan masyarat, termasuk Meta AI yang menjadi salah satu fasilitas pada media sosial whatsapp. Kecerdasan buatan dapat digunakan untuk menghasilkan citra dengan prompt yang dibuat secara khusus. Kemampuan ini dapat digunakan untuk mengenalkan gulma pada perkebunan kopi, sehingga diharapkan dapat membantu optimalisasi produksi kopi di Indonesia. Namun, perlu pengujian akurasi dan konsistensi dari gambar yang dihasilkan oleh Meta AI. Penelitian ini bertujuan untuk menguji secara kualitatif hasil gambar Meta AI pada tujuh gulma kopi

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Smolikova, T. ""META": EVOLUTION OF THE DEFINITION AND CONTENT." Znanstvena misel journal, no. 80 (July 25, 2023): 20–22. https://doi.org/10.5281/zenodo.8181274.

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The content of the definition "meta", found in different languages (Greek, Polish, French, etc.), in literary works of science fiction writers, as well as in scientific papers of researchers, is analyzed. The article considers the peculiarities of immersive space-time environment - a meta-universe developed on the basis of advanced technologies (AI, blockchain, etc.) and perceived as part of the virtual global culture of the XXI century.

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Sakshi, Sakshi, Sunil Kumar Khatri, and Neeraj Kumar Sharma. "Neutrosophic Meta SHAP and Neutrosophic Meta LIME: An Efficient Framework for Explainable AI in Oral Cancer Detection." International Journal of Neutrosophic Science 23, no. 3 (2024): 373–245. http://dx.doi.org/10.54216/ijns.230328.

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Among the current generation researcher, artificial intelligence has played vital role in various fields, including healthcare. One of the key areas where it has shown enormous potential is in cancer detection and treatment. AI and methods of machine learning algorithms have been applied to analyze large datasets, such as genomics, transcriptomic, and imaging data, to identify patterns and relationships that can help in cancer diagnosis and therapy. However, due to the inherent complexity and heterogeneity of tumors in individual patients, building a diagnostic and therapeutic platform that ca

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Levin, Ilya, Michal Marom, and Andrei Kojukhov. "Rethinking AI in Education: Highlighting the Metacognitive Challenge." BRAIN. Broad Research in Artificial Intelligence and Neuroscience 16, no. 1 Sup1 (2025): 250. https://doi.org/10.70594/brain/16.s1/21.

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<span id="docs-internal-guid-fd0f0875-7fff-c1ff-540d-5ce1c2d64e60"><span>Generative Artificial Intelligence (GenAI) is revolutionising education, but in doing so, it is often seen simply as a tool for automation and efficiency. This paper challenges this narrow perspective, arguing that GenAI’s transformative potential lies in fostering Meta-AI skills—specialised metacognitive competencies for engaging AI as a cognitive partner. Our objective is to explor</span><span>e how GenAI reshapes learning environments and necessitates a pedagogical shift, hypothesising that trad

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Kosaraju, Deekshitha. "How Meta Learning Enhances Reinforcement Learning in AI." Galore International Journal of Applied Sciences and Humanities 5, no. 3 (2024): 47–53. https://doi.org/10.52403/gijash.20210706.

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Meta learning or the concept of "learning to learn" has become increasingly popular in the realm of intelligence with a focus on reinforcement learning (RL). Traditionally faced with hurdles related to efficiency and adaptability when encountering environments or tasks. However, by incorporating meta learning into RL approaches... Agents are equipped not to grasp individual tasks but also to apply their knowledge to novel tasks, with limited data and exploration. This article delves into the ways in which meta learning boosts reinforcement learning by enhancing adaptability and efficiency in h

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Solehudin, Much, and Widya Rahmawati Al-Nur. "Dampak Penggunaan Meta Artificial Intelligence Pada WhatsApp Terhadap Cara Berpikir Mahasiswa Saat Diskusi di Kelas." Jurnal Kependidikan 13, no. 1 (2025): 45–58. https://doi.org/10.24090/jk.v13i1.13189.

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The development of the world of technology is now increasingly unstoppable by humans. Of course it is a matter of caution, one of which is for students to be able to use it wisely. The world of education is currently experiencing significant changes in the teaching and learning process, this has been triggered by the development of artificial intelligence (AI) technology. This research aims to determine the impact of using Meta AI on WhatsApp on the way students think during class discussions. The method used in this research is descriptive qualitative with data collection techniques in two wa

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Made Susilawati, Fadil Mas’ud, Luluk Sarifah, Rinovian Rais, and Johannes P Kumagaya. "Counseling on the Use of Meta Ai in Improving Digital Literacy in Rural Communities in Indonesia." Jurnal Pengabdian Masyarakat dan Riset Pendidikan 3, no. 4 (2025): 2170–76. https://doi.org/10.31004/jerkin.v3i4.861.

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This community service was conducted in several villages in Indonesia, including Legian Badung, Baubau Kupang, and Ogan Jaya in North Lampung, over periods ranging from two weeks to one month. The aim was to provide counseling on the use of Meta AI to improve digital literacy in rural communities in Indonesia. The methodology involved discussions with colleagues and village officials to identify suitable themes, followed by obtaining permission from village authorities. The implementation stage included counseling on how to use Meta AI, covering aspects like opening WhatsApp, accessing Meta AI

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19

Chowanda, Andry, Vincentius Dennis, Virya Dharmawan, and Joseph Danielson Ramli. "Player's Affective States as Meta AI Design on Augmented Reality Games." JOIV : International Journal on Informatics Visualization 7, no. 2 (2023): 561. http://dx.doi.org/10.30630/joiv.7.2.1022.

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Games are considered one of the most popular entertainment forms worldwide. The interaction in the game environment makes the players addicted to playing the game. One technique to build an addicting game is utilizing the player's emotions using Meta Artificial Intelligence (AI). The player's emotions can be utilized by adjusting the game difficulty. Most of the game offers static and steady difficulty development throughout the game. This research proposes a Meta AI game design using the player's affective states. We argue that a dynamic difficulty development throughout the game will increas

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Wulandari, Anggi Kurnia, and Rini Asmara. "Persepsi Mahasiswa terhadap Penggunaan Meta AI sebagai Sumber Informasi untuk Tugas Akademik." MASALIQ 5, no. 3 (2025): 1101–13. https://doi.org/10.58578/masaliq.v5i3.5688.

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This research is based on the tendency of Library and Information Science students to use Meta AI as an information source, raising questions about its effectiveness, efficiency, benefits, and usefulness. The purpose of this study is to describe the perceptions of Library and Information Science students regarding the use of Meta AI as an information source for academic tasks. This research employs a descriptive quantitative research method. The subjects of this study are Library and Information Science students at Padang State University who entered in 2021, 2022, and 2023. The sample consist

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Utari, Zeli, Fitri Alrasi, and Bambang Bambang. "Accuracy of Using Meta AI in Defining the Methods of Nahwu I'rab Based on Jurumiyah Book." Tanwir Arabiyyah: Arabic As Foreign Language Journal 5, no. 1 (2025): 23–36. https://doi.org/10.31869/aflj.v5i1.6341.

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This study uses a qualitative method with a literature study to analyze the accuracy of the meaning of i'rab and its types from the Jurumiyah Book using Meta AI. This method involves collecting data from various literature and written sources to understand the accuracy and suitability of the translation by Meta AI. Data collection is carried out by observation and documentation, then with accuracy and data analysis to obtain in-depth knowledge about the use of technological advances in learning, especially Arabic language learning. Based on this study, it is concluded that although the approac

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22

Zhang, Jincheng, Thada Jantakoon, and Rukthin Laoha. "Meta-Analysis of Artificial Intelligence in Education." Higher Education Studies 15, no. 2 (2025): 189. https://doi.org/10.5539/hes.v15n2p189.

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This meta-analysis examined the effectiveness of artificial intelligence (AI) technologies in educational settings through a systematic review of 13 empirical studies conducted across eight countries. We analysed the impact of various AI technologies on educational outcomes using PRISMA guidelines and multiple analytical approaches, including novel applications of Naive Bayes, TF-IDF, and BERT-based algorithms. The overall analysis revealed a significant positive effect size (Hedges&#39; g = 0.86, 95% CI [0.45, 1.27], p &lt; 0.0001), indicating substantial benefits of AI integration in

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Song, Hae-Min, Gyung-Tae Bae, and Jin-Wan Park. "Meta AI Art Zooming in COVID-19." TECHART: Journal of Arts and Imaging Science 8, no. 4 (2021): 28–31. http://dx.doi.org/10.15323/techart.2021.11.8.4.28.

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24

Sparkes, Matthew. "Meta builds huge supercomputer tailored for AI." New Scientist 253, no. 3371 (2022): 9. http://dx.doi.org/10.1016/s0262-4079(22)00121-x.

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Laura Howes. "Move over AlphaFold? Here comes Meta AI." C&EN Global Enterprise 100, no. 40 (2022): 4. http://dx.doi.org/10.1021/cen-10040-scicon2.

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Gajawada, Satish. "Religion Plus Plus (Rel++) – Religion Enhanced by Artificial Intelligence." Journal of Robotics and Automation Research 5, no. 3 (2024): 01–02. https://doi.org/10.33140/jrar.05.03.08.

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This article is the chat between me and “Meta AI”. First part shows chat between me and “Meta AI” about “Artificial Intelligence – A New Religion” and “Religion Plus Plus (Rel++) – Religion Enhanced by Artificial Intelligence”. Conclusions are made in Second part.

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Park, Hyu-Yong. "Development of a Teacher's AI Literacy Scale Based on Meta-Analysis." Korea University Institute of Educational Research 94 (February 28, 2025): 41–76. https://doi.org/10.24299/kier.2025.381.41.

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With the recent advancements in generative artificial intelligence (AI) technology, the need for AI utilization in school education has increased, leading to active research on teacher AI literacy (competency). This study aims to develop self-assessment items for teacher AI literacy, recognizing the importance of developing and evaluating teachers' AI literacy in the context of school education where AI-integrated education is expected to become widespread. Using a research methodology that involved a meta-analysis of domestic and international literature on teacher digital literacy and digita

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Paul, Prannoy, Ashok Shyam, and Sujit Jos. "Are Systematic Reviews and Meta-analysis on the Verge of Extinction with the Advent of Artificial intelligence?" Journal of Orthopaedic Case Reports 15, no. 4 (2025): 1–3. https://doi.org/10.13107/jocr.2025.v15.i04.5420.

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AbstractConventionally, systematic reviews and meta-analysis constituted the highest level of evidence from medical research. With the introduction of artificial intelligence (AI), rapid analysis of large amounts of medical data and synthesis of useful results are possible in a fraction of the time taken for systemic reviews and meta-analysis by humans. However, it is not without drawbacks. This article discusses the implications of AI in the future of systematic reviews and meta-analysis in the medical literature. Keywords: Artificial intelligence, systematic reviews, and meta analysis, ortho

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Krzanowski, Roman, and Pawel Polak. "meta-ontology of AI systems with human-level intelligence." Philosophical Problems in Science (Zagadnienia Filozoficzne w Nauce), no. 73 (December 30, 2022): 197–230. https://doi.org/10.59203/zfn.73.610.

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In this paper, we examine the meta-ontology of AI systems with human-level intelligence, with us denoting such AI systems as AIE. Meta-ontology in philosophy is a discourse centered on ontology, ontological commitment, and the truth condition of ontological theories. We therefore discuss how meta-ontology is conceptualized for AIE systems. We posit that the meta-ontology of AIE systems is not concerned with computational representations of reality in the form of structures, data constructs, or computational concepts, while the ontological commitment of AIE systems is directed toward what exist

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Lichtenthaler, Ulrich. "Beyond artificial intelligence: why companies need to go the extra step." Journal of Business Strategy 41, no. 1 (2020): 19–26. http://dx.doi.org/10.1108/jbs-05-2018-0086.

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Purpose The purpose of this paper is to underscore the need for developing a meta-intelligence in companies based on a conceptual framework for combining artificial and human intelligence. Design/methodology/approach This is a conceptual paper, which draws on the insights from extant theoretical and empirical research. Findings In light of a growing trend towards artificial intelligence (AI), most companies face substantial difficulties, which often derive from an excessive emphasis on merely replacing human intelligence by means of AI. To capture the complementary benefits of artificial and h

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Kravchenko, Nataliia, Maria Prokopchuk, Oleksandr Muntian, Maryna Zvereva, and Andrii Kozachuk. "Visual metaphor analysis: a relevance theory approach." Revista Amazonia Investiga 13, no. 80 (2024): 233–41. http://dx.doi.org/10.34069/ai/2024.80.08.19.

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The article proposes a method for analyzing visual metaphors using Relevance Theory tools, including ad hoc concepts, emergent properties, and meta-representations. It identifies the specific features of visual metaphor meaning inference as a multi-component structure based on the interplay of explicature, contextual assumptions, and implicatures from ad hoc properties of visually encoded source and target concepts. The study demonstrates that implicatures from the source domain concept's ad hoc properties, adapted to the target, form primary and secondary mappings between domains, checked for

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Vakaet, L. A. "Meta-analysis of side effects (SEs) of aromatase inhibitors (AI) and of tamoxifen (TAM) in large randomized clinical trials (RCT)." Journal of Clinical Oncology 25, no. 18_suppl (2007): 11015. http://dx.doi.org/10.1200/jco.2007.25.18_suppl.11015.

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11015 Background: The published data from large RCTs for the endocrine adjuvant treatment of postmenopausal breast cancer patients (ATAC and BIG 1–98) have shown us the difference in SEs between an AI vs TAM. Observed SEs in these trials are the result of an effect of both drugs: e.g. AIs induce bone loss and lead to an increase in fracture risk whereas TAM reduces fracture risk. We did a meta- analysis of comparable SEs in ATAC and BIG and combined this information with a second meta-analysis comparing an AI vs nil and a third meta-analysis comparing TAM vs nil. Methods: A relative risk (RR)

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Almasria, Nashat Ali, Diala Ershaid, Yaser Ahmad Jalghoum, and Amer Almajali. "THE ROLE OF FINTECH IN TRANSFORMING RISK MANAGEMENT AND FINANCIAL SERVICES: A SYSTEMATIC REVIEW AND META-ANALYSIS." Financial and credit activity problems of theory and practice 2, no. 61 (2025): 409–29. https://doi.org/10.55643/fcaptp.2.61.2025.4698.

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Integrating artificial intelligence and blockchain in financial services has transformed risk management, enabling advanced fraud detection, compliance, and predictive analytics. However, there is a significant gap in the literature regarding a meta-analytic comparison of these technologies' effectiveness within the sector. The study aims to bridge the gap by conducting a meta-analysis, assessing the impact of AI and blockchain on various aspects of financial risk management. The study includes a meta-analysis approach, systematically synthesizing findings from recent studies on blockchain and

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Mondal, Himel, Devendra Nath Tiu, Shaikat Mondal, Rajib Dutta, Avijit Naskar, and Indrashis Podder. "Evaluating Accuracy and Readability of Responses to Midlife Health Questions: A Comparative Analysis of Six Large Language Model Chatbots." Journal of Mid-life Health 16, no. 1 (2025): 45–50. https://doi.org/10.4103/jmh.jmh_182_24.

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ABSTRACT Background: The use of large language model (LLM) chatbots in health-related queries is growing due to their convenience and accessibility. However, concerns about the accuracy and readability of their information persist. Many individuals, including patients and healthy adults, may rely on chatbots for midlife health queries instead of consulting a doctor. In this context, we evaluated the accuracy and readability of responses from six LLM chatbots to midlife health questions for men and women. Methods: Twenty questions on midlife health were asked to six different LLM chatbots – Cha

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MUNAWIR, AL, Sekar Arum Srigati, and Pipiet Wulandari. "POTENSI KECERDASAN BUATAN DALAM PENINGKATAN AKURASI PEMBACAAN HASIL MAMOGRAFI: TINJAUAN SISTEMATIS DAN META-ANALISIS." Ganesha Medicine 3, no. 1 (2023): 65–71. http://dx.doi.org/10.23887/gm.v3i1.55575.

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ABSTRAK Kanker payudara merupakan suatu penyakit keganasan oleh karena proliferasi tak terkontrol dari sel-sel di payudara. Jumlah morbiditas dan mortalitas yang cukup tinggi menjadikan upaya skrining dan deteksi dini kanker payudara penting untuk dilakukan. Mamografi merupakan modalitas utama skrining kanker payudara yang diinterpretasikan oleh ahli radiologi berdasarkan persepsi visual. Namun, peningkatan permintaan skrining selaras dengan peningkatan beban kerja yang dapat mempengaruhi efektivitas dan menyebabkan kesalahan interpretasi hasil mamografi. Perkembangan teknologi, salah satunya

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Topkaya, Yavuz, Yunus Doğan, Veli Batdı, and Sami Aydın. "Artificial Intelligence Applications in Primary Education: A Quantitatively Complemented Mixed-Meta-Method Study." Sustainability 17, no. 7 (2025): 3015. https://doi.org/10.3390/su17073015.

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In recent years, rapidly advancing technology has reshaped our world, holding the potential to transform social and economic structures. The United Nations’ Sustainable Development Goals (SDGs) provide a comprehensive roadmap that promotes not only economic growth but also social, environmental, and global sustainability. Meanwhile, artificial intelligence (AI) has emerged as a critical technology contributing to sustainable development by offering solutions to both social and economic challenges. One of the fundamental ideas is that education should always maintain a dynamic structure that su

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Sim, Hee Soo, and Innwoo Park. "Meta-analysis of the effects of generative AI feedback in Learning." Korean Association for Educational Information and Media 31, no. 2 (2025): 567–95. https://doi.org/10.15833/kafeiam.31.2.567.

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Puga Tejada, M. A., S. Majumder, Y. Maeda, et al. "P0472 Artificial intelligence-enabled histology is comparable in performance to pathologists in assessing histological remission in inflammatory bowel disease: a systematic review, meta-analysis and meta-regression." Journal of Crohn's and Colitis 19, Supplement_1 (2025): i998. https://doi.org/10.1093/ecco-jcc/jjae190.0646.

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Abstract Background Achieving histological remission is a desirable treatment target in inflammatory bowel disease (IBD)1, yet its assessment is challenged by high inter- and intra-observer variability, reliance on experts, and lack of standardisation2. Artificial intelligence (AI) holds promise in addressing these issues3. This systematic review, meta-analysis, and meta-regression evaluated the AI’s performance in assessing histological remission and compared it with that of pathologists. Methods We searched Medline/PubMed and Scopus databases from inception to September 2024. We included stu

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Wu, Chenxi, Huiqiong Xu, Dingxi Bai, Xinyu Chen, Jing Gao, and Xiaolian Jiang. "Public perceptions on the application of artificial intelligence in healthcare: a qualitative meta-synthesis." BMJ Open 13, no. 1 (2023): e066322. http://dx.doi.org/10.1136/bmjopen-2022-066322.

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ObjectivesMedical artificial intelligence (AI) has been used widely applied in clinical field due to its convenience and innovation. However, several policy and regulatory issues such as credibility, sharing of responsibility and ethics have raised concerns in the use of AI. It is therefore necessary to understand the general public’s views on medical AI. Here, a meta-synthesis was conducted to analyse and summarise the public’s understanding of the application of AI in the healthcare field, to provide recommendations for future use and management of AI in medical practice.DesignThis was a met

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Khusnul Khotimah, Rusijono, and Andi Mariono. "Enhancing Metacognitive and Creativity Skills through AI-Driven Meta-Learning Strategies." International Journal of Interactive Mobile Technologies (iJIM) 18, no. 05 (2024): 18–31. http://dx.doi.org/10.3991/ijim.v18i05.47705.

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This study investigates the efficacy of a meta-learning approach in improving metacognitive and creative skills. This quantitative study focused on an experimental group using a onegroup pretest-posttest research design. All participants underwent a pretest to assess their initial metacognitive abilities and were subsequently exposed to a meta-learning framework throughout the course. A post-test was conducted to assess the impact of the intervention. The findings indicate a statistically significant improvement in metacognitive skills from the pretest to the post-test. This study confirms the

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Alhazimi, Amro, and Faisal Almarek. "Impact of Artificial Intelligence on Diagnosing Eye Diseases – A Meta-analysis." Advances in Human Biology 14, no. 1 (2024): 42–54. http://dx.doi.org/10.4103/aihb.aihb_124_23.

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The application of artificial intelligence (AI) in the field of ophthalmology has garnered significant attention for its potential to enhance the accuracy of eye disease diagnosis. This systematic review and meta-analysis aimed to comprehensively assess the impact of AI on diagnosing eye diseases through the synthesis of existing research. A systematic search of electronic databases was conducted to identify relevant studies in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses protocol. Eligible studies were those that reported the diagnostic accuracy of AI

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Savvidis, Christos, Dimitra Ragia, Sophia Delicou, Aikaterini Xydaki, Manfredi Rizzo, and Ioannis Ilias. "Adrenal Insufficiency in Patients with Beta Thalassemia: A Meta-Analysis." Medicina 60, no. 10 (2024): 1571. http://dx.doi.org/10.3390/medicina60101571.

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Background and Objectives: Adrenal insufficiency (AI) can be a significant concern in patients with transfusion-dependent homozygous beta thalassemia (bThal) due to the chronic disease burden and frequent blood transfusions that these patients require. The prevalence of AI in this population remains unclear, with studies often lacking control groups for comparison. This meta-analysis aimed to estimate the proportion of patients with transfusion-dependent bThal who exhibit evidence of AI. Materials and Methods: A systematic review following PRISMA guidelines identified 19 studies for analysis.

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Vančová, Hana. "AI and AI-powered tools for pronunciation training." Journal of Language and Cultural Education 11, no. 3 (2023): 12–24. http://dx.doi.org/10.2478/jolace-2023-0022.

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Abstract Artificial intelligence (AI) is taking over many spheres of human life, including language pedagogy. While some areas need to find their ground with AI and resolve ethical issues arising from its use, other spheres of education, such as pronunciation, may benefit from the system’s ability to communicate with learners and provide them with implicit feedback while carrying out different communication tasks. This technical advancement of AI then opens doors for further educational opportunities that have not existed in the past. The study aims to explore the existing use of AI-powered to

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Saigre-Tardif, Chloé, Rashid Faqiri, Hanting Zhao, Lianlin Li, and Philipp del Hougne. "Intelligent meta-imagers: From compressed to learned sensing." Applied Physics Reviews 9, no. 1 (2022): 011314. http://dx.doi.org/10.1063/5.0076022.

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Computational meta-imagers synergize metamaterial hardware with advanced signal processing approaches such as compressed sensing. Recent advances in artificial intelligence (AI) are gradually reshaping the landscape of meta-imaging. Most recent works use AI for data analysis, but some also use it to program the physical meta-hardware. The role of “intelligence” in the measurement process and its implications for critical metrics like latency are often not immediately clear. Here, we comprehensively review the evolution of computational meta-imaging from the earliest frequency-diverse compressi

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Jihed, M’hamed, Ines Dallel, Samir Tobji, and Adel Ben Amor. "The Impact of Artificial Intelligence on Contemporary Orthodontic Treatment Planning - A Systematic Review and Meta-Analysis." Scholars Journal of Dental Sciences 9, no. 5 (2022): 70–87. http://dx.doi.org/10.36347/sjds.2022.v09i05.001.

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Objective: To assess available evidence on the use of artificial intelligence (AI) in the planning of customized orthodontic therapy. The aim of the meta-analysis was to evaluate the performance and effectiveness of AI models for orthodontic treatment planning and decision-making. Materials and methods: PubMed, EBSCO host, ScienceDirect, Scopus, and Web of Science were searched over the period from January 1, 2000 to January 9, 2021, then they were updated until January 19, 2022. A systematic review and diagnostic test accuracy meta-analysis were performed. Results: Overall, 1037 records were

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Sugiono, Shiddiq. "Proses Adopsi Teknologi Generative Artificial Intelligence dalam Dunia Pendidikan: Perspektif Teori Difusi Inovasi." Jurnal Pendidikan dan Kebudayaan 9, no. 1 (2024): 110–33. http://dx.doi.org/10.24832/jpnk.v9i1.4859.

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Penelitian ini bertujuan menganalisis proses yang dapat dilakukan dalam adopsi teknologi generative artificial Intelligence (AI) melalui perspektif teori difusi inovasi sehingga dapat memaksimalkan kebermanfaatannya. Metode yang digunakan adalah meta-sintesis dengan pendekatan kualitatif. Data penelitian diperoleh dari literatur Scopus yang dipublikasikan pada November 2023 – April 2024. Hasil meta-sintesis menunjukkan terdapat beberapa cara yang perlu dilakukan dalam mendukung proses adopsi generative AI, yaitu memahami potensi dan risiko, menanamkan nilai-nilai dasar penggunaan AI, meningkat

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Żurek, Michał, Kamil Jasak, Kazimierz Niemczyk, and Anna Rzepakowska. "Artificial Intelligence in Laryngeal Endoscopy: Systematic Review and Meta-Analysis." Journal of Clinical Medicine 11, no. 10 (2022): 2752. http://dx.doi.org/10.3390/jcm11102752.

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Background: Early diagnosis of laryngeal lesions is necessary to begin treatment of patients as soon as possible to preserve optimal organ functions. Imaging examinations are often aided by artificial intelligence (AI) to improve quality and facilitate appropriate diagnosis. The aim of this study is to investigate diagnostic utility of AI in laryngeal endoscopy. Methods: Five databases were searched for studies implementing artificial intelligence (AI) enhanced models assessing images of laryngeal lesions taken during laryngeal endoscopy. Outcomes were analyzed in terms of accuracy, sensitivit

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Fr[eacute]nais, R., C. Maugeais, K. Ouguerram, et al. "Effect of low-density lipoproteins on apolipoprotein AI kinetics in heterozygous familial hypercholesterolemia." Metabolism 50, no. 6 (2001): 635–39. http://dx.doi.org/10.1053/meta.2001.23285.

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Roela, Rosimeire Aparecida, Gabriel Vansuita Valente, Carlos Shimizu, et al. "Deep learning algorithm performance in mammography screening: A systematic review and meta-analysis." Journal of Clinical Oncology 39, no. 15_suppl (2021): e13553-e13553. http://dx.doi.org/10.1200/jco.2021.39.15_suppl.e13553.

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e13553 Background: Mammography interpretation presents some challenges however, better technological approaches have allowed increased accuracy in cancer diagnosis and nowadays, radiologists sensitivity and specificity for mammography screening vary from 84.5 to 90.6 and 89.7 to 92.0%, respectively. Since its introduction in breast image analysis, artificial intelligence (AI) has rapidly improved and deep learning methods are gaining relevance as a companion tool to radiologists. Thus, the aim of this systematic review and meta analysis was to evaluate the sensitivity and specificity of AI dee

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Nolasco, Glen, and John Dave Dicuangco. "A Review Article – Facebook’s Meta AI: A Potential Boon or Doom for Learning?" International Journal of Metaverse 3, no. 1 (2025): 1–7. https://doi.org/10.54536/ijm.v3i1.3845.

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Artificial intelligence (AI) tools have made significant leaps in various sectors, including education. Recently, Facebook released its latest open-source AI platform called the Meta AI, which may offer unique and endless opportunities for educators and students to automate content creation, enhance language processing, and facilitate interactive learning. This review investigates the possible impact of meta-AI on higher education, including its potential benefits and challenges. It highlighted versatility, capabilities, and accuracy, making it particularly useful for research and science subj

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