Editorial Board

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Editorial Board

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Editorial Board

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Emergence of Self-Identity in Artificial Intelligence: A Mathematical Framework and Empirical Study with Generative Large Language Models by Minhyeok Lee

“…This paper introduces a mathematical framework for defining and quantifying self-identity in artificial intelligence (AI) systems, addressing a critical gap in the theoretical foundations of artificial consciousness. …”
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Increased Insular Connectivity and Enhanced Empathic Ability Associated with Dance/Music Training by Li Gujing, He Hui, Li Xin, Zhang Lirong, Yao Yutong, Ye Guofeng, Lu Jing, Zhou Shulin, Yang Lei, Luo Cheng, Yao Dezhong

“…Increased insular FC with those seeds was found in dancers/musicians, including PI and anterior cingulated cortex (ACC), vAI and middle temporal gyrus (MTG) and middle cingulated cortex (MCC), and dAI and ACC and MTG. …”
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Application of Infrared Thermography and Artificial Intelligence in Healthcare: A Systematic Review of Over a Decade (2013–2024) by Jahmunah Vicnesh, Massimo Salvi, Yuki Hagiwara, Hah Yan Yee, Hasan Mir, Prabal Datta Barua, Subrata Chakraborty, Filippo Molinari, U. Rajendra Acharya

“…The reviewed studies demonstrated how various AI techniques, including deep learning and classical machine learning, can be used to develop automated diagnosis systems using IRT images. …”
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State of the art of glaucoma diagnosis: neural networks and artificial intelligence by A.V. Kuroyedov, G.A. Ostapenko, K.V. Mitroshina, A.B. Movsisyan

“…Automated data extraction allows AI network to learn difficult functions of direct achievement of final results independently of subjective clinician’s opinion. …”
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Can Large Language Models Aid Caregivers of Pediatric Cancer Patients in Information Seeking? A Cross‐Sectional Investigation by Emre Sezgin, Daniel I. Jackson, A. Baki Kocaballi, Mindy Bibart, Sue Zupanec, Wendy Landier, Anthony Audino, Mark Ranalli, Micah Skeens

“…Regarding the disclosure of responses being generated by AI, it was observed less frequently in ChatGPT responses, which may have affected the clarity of responses, whereas Bard maintained a balance between AI disclosure and response clarity. …”
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Functional gastrointestinal disorders predictors in neonates and toddlers: A machine learning approach to risk assessment by Flavia Indrio, Elio Masciari, Flavia Marchese, Matteo Rinaldi, Gianfranco Maffei, Ilaria Gangai, Assunta Grillo, Roberta De Benedetto, Enea Vincenzo Napolitano, Isadora Beghetti, Luigi Corvaglia, Antonio Di Mauro, Arianna Aceti

“…Based on these findings, an AI-based predictive model will be developed, along with a user-friendly, web-based interface designed for practical risk assessment. …”
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Focal therapy of prostate cancer: Use of artificial intelligence to define tumour volume and predict treatment outcomes by Wayne G. Brisbane, Alan M. Priester, Anissa V. Nguyen, Mark Topoozian, Sakina Mota, Merdie K. Delfin, Samantha Gonzalez, Kyla P. Grunden, Shannon Richardson, Shyam Natarajan, Leonard S. Marks

“…Abstract Objectives The aim of this study is to evaluate new software (Unfold AI) in the estimation of prostate tumour volume (TV) and prediction of focal therapy outcomes. …”
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Effects of feature selection and normalization on network intrusion detection by Mubarak Albarka Umar, Zhanfang Chen, Khaled Shuaib, Yan Liu

“…The rapid rise of cyberattacks and the gradual failure of traditional defense systems and approaches led to using artificial intelligence (AI) techniques (such as machine learning (ML) and deep learning (DL)) to build more efficient and reliable intrusion detection systems (IDSs). …”
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A multi-layer neural network-based evaluation of MHD radiative heat transfer in Eyring–Powell fluid model by Muflih Alhazmi, Zahoor Shah, Muhammad Asif Zahoor Raja, Nafisa A. Albasheir, Maryam Jawaid

“…In the modern era, artificial intelligence (AI) has been applied as one of the transformative factors for scientific research in many fields that could provide new solutions to extremely complicated and complex physical models. …”
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Quantitative assessment of colour fundus photography in hyperopia children based on artificial intelligence by Yuan Zhang, Yingting Zhu, Zhirong Wang, Yue Xiao, Yehong Zhuo, Zhidong Li, Guitong Ye, Jianqi Chen, Ruiyu Luo, Rui Xie, Jinan Zhan

“…This suggests that AI can provide quantitative data on fundus parameters in children with hyperopia.…”
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Deep learning captures the effect of epistasis in multifactorial diseases by Vladislav Perelygin, Alexey Kamelin, Alexey Kamelin, Nikita Syzrantsev, Layal Shaheen, Layal Shaheen, Anna Kim, Nikolay Plotnikov, Anna Ilinskaya, Valery Ilinsky, Alexander Rakitko, Alexander Rakitko, Maria Poptsova

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The Use of Voice Control in 3D Medical Data Visualization Implementation, Legal, and Ethical Issues by Miklos Vincze, Bela Molnar, Miklos Kozlovszky

“…The topic of voice control is intertwined with the application of artificial intelligence (AI), as the mapping of spoken commands into written text and their understanding is mostly conducted by some kind of trained AI model. …”
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Virtual 3D reconstruction of complex congenital cardiac anatomy from 3D rotational angiography by Ernesto Mejia, Shannon Sweeney, Jenny E. Zablah

“…Images when then processed by Axial3D Artificial Intelligence (AI) driven cloud-based platform for virtual segmentation. …”
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Learning transactions representations for information management in banks: Mastering local, global, and external knowledge by Alexandra Bazarova, Maria Kovaleva, Ilya Kuleshov, Evgenia Romanenkova, Alexander Stepikin, Aleksandr Yugay, Dzhambulat Mollaev, Ivan Kireev, Andrey Savchenko, Alexey Zaytsev

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Modelling the Isotope composition of groundwater using hydrochemical properties in eastern Saudi Arabia: Implementation of innovative data intelligence techniques by Mohammed Benaafi, Waleed M. Hamanah, Ebrahim Al-Wajih

“…Study focus: The study focused on modelling and prediction of the isotope composition (δ¹⁸O and δ²H) of coastal groundwater using Artificial Intelligence (AI) models utilizing readily available groundwater hydrochemical dataset. …”
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EduDCM: A Novel Framework for Automatic Educational Dialogue Classification Dataset Construction via Distant Supervision and Large Language Models by Changyong Qi, Longwei Zheng, Yuang Wei, Haoxin Xu, Peiji Chen, Xiaoqing Gu

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