Development of clinical decision support for patients older than 65 years with fall-related TBI using artificial intelligence modeling. by Biche Osong, Eric Sribnick, Jonathan Groner, Rachel Stanley, Lauren Schulz, Bo Lu, Lawrence Cook, Henry Xiang

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Optimizing Security in IoT Ecosystems Using Hybrid Artificial Intelligence and Blockchain Models: A Scalable and Efficient Approach for Threat Detection by William Villegas-Ch, Jaime Govea, Rommel Gutierrez, Aracely Mera-Navarrete

Subjects: “…Artificial intelligence…”
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Serial mediating role of transformational leadership and perception of artificial intelligence use in the effect of employee happiness on innovative work behaviour in nurses by Ferhat Onur Agaoglu, Murat Bas, Sinan Tarsuslu, Lokman Onur Ekinci

“…Conclusions This study revealed that nurse happiness has a significant and positive effect on innovative work behaviors, and transformational leadership and perception of artificial intelligence use have a serial mediating role in this relationship. …”
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Book review: Balnaves, Edmund, Bultrini, Leda, Cox, Andrew and Uzwyshyn, Raymond (eds). New horizons of artificial intelligence in libraries by Elena Maceviciute

“…New horizons of artificial intelligence in libraries. Berlin: DeGruyter Saur. x, 384 p. e-ISBN 978-3-11-133643-5 (IFLA Publications, vol. 185) …”
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Moving beyond post hoc explainable artificial intelligence: a perspective paper on lessons learned from dynamical climate modeling by R. J. O'Loughlin, D. Li, R. Neale, T. A. O'Brien, T. A. O'Brien

“…<p>AI models are criticized as being black boxes, potentially subjecting climate science to greater uncertainty. Explainable artificial intelligence (XAI) has been proposed to probe AI models and increase trust. …”
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Integration of artificial intelligence and advanced optimization techniques for continuous gas lift under restricted gas supply: A case study by Leila Zeinolabedini, Forough Ameli, Abdolhossein Hemmati-Sarapardeh

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Research on the Correlation between Information and Communication Technology Development and Consumer Spending Based on Artificial Intelligence and Time Series Econometric Model by Chaozhi Fan, Siong Hook Law, Saifuzzaman Ibrahim, N. A. M. Naseem

“…In order to explore the correlation between ICT development and consumer spending, this paper uses artificial intelligence and time series econometric models to study the correlation between ICT development and consumer spending. …”
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Prediction of the Wall Factor of Arbitrary Particle Settling through Various Fluid Media in a Cylindrical Tube Using Artificial Intelligence by Mingzhong Li, Guodong Zhang, Jianquan Xue, Yanchao Li, Shukai Tang

“…Considering the influence of particle shape and the rheological properties of fluid, two artificial intelligence methods (Artificial Neural Network and Support Vector Machine) were used to predict the wall factor which is widely introduced to deduce the net hydrodynamic drag force of confining boundaries on settling particles. 513 data points were culled from the experimental data of previous studies, which were divided into training set and test set. …”
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Artificial Intelligence and Finance: A bibliometric review on the Trends, Influences, and Research Directions [version 1; peer review: 2 approved] by Pankaj Kumar Tyagi, Biswajit Ghose, Prasenjit Roy, Asokan Vasudevan, Premendra Kumar Singh

Subjects: “…Artificial Intelligence…”
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The Effect of Emotional Intelligence on Higher Education: A Pilot Study on the interplay Between Artificial Intelligence, Emotional Intelligence, and E-Learning by Abdullah Alenezi

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ADOPTION OF ARTIFICIAL INTELLIGENCE AND DIGITAL SUPPLY CHAIN FOR ENHANCING SUPPLY CHAIN PERFORMANCE: MEDIATING ROLE OF GREEN SUPPLY CHAIN PROCESS by Abdulaziz Aljoghaiman, Sanjar Mirzaliev

Subjects: “…Artificial intelligence…”
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The artificial intelligence-based agricultural field irrigation warning system using GA-BP neural network under smart agriculture. by Xiying Wang

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The Influence of Occupational Therapy on College Students’ Home Physical Exercise Behavior and Mental Health Status under the Artificial Intelligence Technology by Chao SONG, G. E. Sha, Wanxiang Yao, Linhai YANG

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Artificial Intelligence (AI) Competency and Educational Needs: Results of an AI Survey of Members of the European Society of Pediatric Endoscopic Surgeons (ESPES) by Holger Till, Hesham Elsayed, Maria Escolino, Ciro Esposito, Sameh Shehata, Georg Singer

Subjects: “…artificial intelligence…”
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Response to the Editor Regarding Our Manuscript on 'Clinical Characteristics of Children with Acute Poststreptococcal Glomerulonephritis and Re-evaluation of Patients with Artificial Intelligence' by Emre LEVENTOĞLU, Mustafa SORAN

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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

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Artificial intelligence‐based body composition analysis using computed tomography images predicts both prevalence and incidence of diabetes mellitus by Yoo Hyung Kim, Ji Won Yoon, Bon Hyang Lee, Jeong Hee Yoon, Hun Jee Choe, Tae Jung Oh, Jeong Min Lee, Young Min Cho

Subjects: “…Artificial intelligence…”
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Letter to the Editor Regarding Manuscript on "Clinical Characteristics of Children with Acute Post-Streptococcal Glomerulonephritis and the Re-Evaluation of Patients with Artificial Intelligence" by Hinpetch DAUNGSUPAWONG, Viroj WIWANITKIT

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Artificial intelligence analysis of thermal energy for convectively heated ternary nanofluid flow in radiated channel considering viscous dissipations aspects by Hamid Qureshi, Amjad Ali Pasha, Muhammad Asif Zahoor Raja, Zahoor Shah, Salem Algarni, Talal Alqahtani, Waqar Azeem Khan, Moinul Haq

Subjects: “…Artificial intelligence…”
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Artificial intelligence assisted risk prediction in organ transplantation: a UK Live-Donor Kidney Transplant Outcome Prediction tool by Hatem Ali, Arun Shroff, Tibor Fülöp, Miklos Z. Molnar, Adnan Sharif, Bernard Burke, Sunil Shroff, David Briggs, Nithya Krishnan

“…We set out to apply artificial intelligence (AI) algorithms to create a highly predictive risk stratification indicator, applicable to the UK’s transplant selection process.Methodology: Pre-transplant characteristics from 12,661 live-donor kidney transplants (performed between 2007 and 2022) from the United Kingdom Transplant Registry database were analyzed. …”
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