Assessment of Artificial Intelligence Models for Developing Single-Value and Loop Rating Curves by Majid Niazkar, Mohammad Zakwan

“…Furthermore, EA, the MHBMO algorithm, and artificial intelligence (AI) models (ANN and MGGP) performed satisfactorily in some of the cases, while the idea of combining MGGP with GRG reveals that this hybrid method improved the performance of MGGP in this specific application. …”
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The Use of Artificial Intelligence and Wearable Inertial Measurement Units in Medicine: Systematic Review by Ricardo Smits Serena, Florian Hinterwimmer, Rainer Burgkart, Rudiger von Eisenhart-Rothe, Daniel Rueckert

“… BackgroundArtificial intelligence (AI) has already revolutionized the analysis of image, text, and tabular data, bringing significant advances across many medical sectors. …”
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Machine Learning and Artificial Intelligence Systems Based on the Optical Spectral Analysis in Neuro-Oncology by Tatiana Savelieva, Igor Romanishkin, Anuar Ospanov, Sergey Goryaynov, Galina Pavlova, Igor Pronin, Victor Loschenov

“…Collectively, these elements represent artificial intelligence (AI) in neuro-oncology. This paper reviews recent studies which apply machine learning algorithms to optical spectroscopy data from central nervous system (CNS) tumors, both ex vivo and in vivo. …”
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STAGER checklist: Standardized testing and assessment guidelines for evaluating generative artificial intelligence reliability by Jinghong Chen, Lingxuan Zhu, Weiming Mou, Anqi Lin, Dongqiang Zeng, Chang Qi, Zaoqu Liu, Aimin Jiang, Bufu Tang, Wenjie Shi, Ulf D. Kahlert, Jianguo Zhou, Shipeng Guo, Xiaofan Lu, Xu Sun, Trunghieu Ngo, Zhongji Pu, Baolei Jia, Che Ok Jeon, Yongbin He, Haiyang Wu, Shuqin Gu, Wisit Cheungpasitporn, Haojie Huang, Weipu Mao, Shixiang Wang, Xin Chen, Loïc Cabannes, Gerald Sng Gui Ren, Iain S. Whitaker, Stephen Ali, Quan Cheng, Kai Miao, Shuofeng Yuan, Peng Luo

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Artificial Intelligence vs. Traditional Research Methods: An Empirical Study from Northern Croatia by Katerina Fotova Čiković, Antonija Mandić, Maja Hoić

“…Due to the emergence and increased development of Artificial Intelligence (AI), research in general has been significantly impacted, particularly in the field of scientific theories and models. …”
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Interaction with Artificial Intelligence as a Potential of Foreign Language Teaching Program in Graduate School by T. V. Potemkina, Yu. A. Avdeeva, U. Yu. Ivanova

“…The focus of this article is to study and determine the state of the skill of interaction with digital tools, systems and programs of artificial intelligence in postgraduate students of technical fields. …”
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Artificial intelligence and machine learning in mobile apps for mental health: A scoping review. by Madison Milne-Ives, Emma Selby, Becky Inkster, Ching Lam, Edward Meinert

“…Mobile apps for mental health are beginning to incorporate artificial intelligence and there is a need for an overview of the state of the literature on these apps. …”
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Real-time discrimination of earthquake signals by integrating artificial intelligence technology into IoT devices by Zhi Geng, Yanfei Wang, Wenyong Pan, Caixia Yu, Zhijing Bai, Hongzhou Zhang

“…The results indicate the prospect of on-site missions of artificial intelligent sensors.…”
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On the implications of artificial intelligence methods for feature engineering in reliability sector with computer knowledge graph by Heling Jiang, Yongping Xia, Changjie Yu, Zhao Qu, Huaiyong Li

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Developing Artificial Intelligence-Powered Monetary Policy Communication Indicators for Macroeconomic Inquiries in Ghana by Francis Mawuli Abude, Jones Odei-Mensah, Eric Schaling

“…In particular, the content of Monetary Policy Committees’ press releases and statements reflect the central banks’ view of current and future macroeconomic developments, making them useful for creating high-frequency indicators as alternatives to traditional but slower-to-publish macroeconomic indicators. In this study, Artificial Intelligence (AI)-powered text-mining techniques were employed to create monetary policy communication-based indicators, namely the Monetary Policy Readability Index (MPRI), the Monetary Policy Sentiment Index (MPSI), and the Monetary Policy Uncertainty Index (MPUI), using press releases from the Bank of Ghana's monetary policy committee spanning January 2003 to December 2022. …”
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Artificial intelligence, media and journalism: Between a good servant and a bad master by Tomić Boban, Bajić Predrag Đ.

“…This is not only due to the potential danger o f artificial intelligence surpassing humans but generally to establish order in a new human practice that exceeds previous potentials and capacities. …”
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Deep Blue Cannot Play Checkers: The Need for Generalized Intelligence for Mobile Robots by Troy D. Kelley, Lyle N. Long

“…Generalized intelligence is much more difficult than originally anticipated when Artificial Intelligence (AI) was first introduced in the early 1960s. …”
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Artificial intelligence in high-dose-rate brachytherapy treatment planning for cervical cancer: a review by Junyue Shi, Junyue Shi, Jun Chen, Gaokui He, Qinghe Peng

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Patients' attitudes toward artificial intelligence (AI) in cancer care: A scoping review protocol. by Daniel Hilbers, Navid Nekain, Alan T Bates, John-Jose Nunez

“…Emphasizing patient-centered care, research has explored patients' perspectives on artificial intelligence in medical care, indicating general acceptance of the technology but also concerns about supervision. …”
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Early Detection of Pancreatic Cancer: Opportunities Provided by Cancer-induced Paraneoplastic Phenomena and Artificial Intelligence by Wei-Chih Liao

“…This review aims to briefly summarize the status of screening/surveillance for PDAC and elaborate on the potential windows of opportunity for early detection through PDAC-induced paraneoplastic phenomena and artificial intelligence (AI)-augmented image analysis. …”
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A Comparative Analysis of Data-Driven Empirical and Artificial Intelligence Models for Estimating Infiltration Rates by Mohammad Zakwan, Majid Niazkar

“…In the present paper, different data-driven models including Multiple Linear Regression (MLR), Generalized Reduced Gradient (GRG), two Artificial Intelligence (AI) techniques (Artificial Neural Network (ANN) and Multigene Genetic Programming (MGGP)), and the hybrid MGGP-GRG have been applied to estimate the infiltration rates. …”
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Race to the Moon or the Bottom? Applications, Performance, and Ethical Considerations of Artificial Intelligence in Prosthodontics and Implant Dentistry by Amal Alfaraj, Toshiki Nagai, Hawra AlQallaf, Wei-Shao Lin

“…<b>Objectives:</b> This review aims to explore the applications of artificial intelligence (AI) in prosthodontics and implant dentistry, focusing on its performance outcomes and associated ethical concerns. …”
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AutoLDP: An accurate and efficient artificial intelligence-based tool for automatic labeling of digital pathology by Yingnan Zhao, Huifen Ye, Jing Yang, Su Yao, Maohua Lv, Zhihong Chen, Yunrui Ye, Qingru Hu, Cheng Lu, Zaiyi Liu, Ke Zhao, Zhihua Chen

“…Background: Whole-slide image (WSI) is foundational for artificial intelligence in tumor diagnosis, treatment planning, and prognosis prediction. …”
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Artificial intelligence conversational agents in mental health: Patients see potential, but prefer humans in the loop by Hyein S. Lee, Hyein S. Lee, Colton Wright, Julia Ferranto, Jessica Buttimer, Clare E. Palmer, Andrew Welchman, Kathleen M. Mazor, Kimberly A. Fisher, David Smelson, Laurel O’Connor, Laurel O’Connor, Nisha Fahey, Nisha Fahey, Apurv Soni, Apurv Soni, Apurv Soni

“…BackgroundDigital mental health interventions, such as artificial intelligence (AI) conversational agents, hold promise for improving access to care by innovating therapy and supporting delivery. …”
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Automated classification of elongated styloid processes using deep learning models-an artificial intelligence diagnostics by Anuradha Ganesan, N. Gautham Kumar, Prabhu Manickam Natarajan, Jeevitha Gauthaman

“…Recent advancements in artificial intelligence, particularly deep learning, provide more efficient classification of elongated styloid processes.ObjectiveThis study aims to develop an automated classification system for elongated styloid processes using deep learning models and to evaluate the performance of two distinct architectures, EfficientNetB5 and InceptionV3, in classifying elongated styloid processes.MethodsThis retrospective analysis classified elongated styloid processes using Ortho Pantomograms (OPG) sourced from our oral radiology archives. …”
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