Controversies in the Application of AI in Radiology—Is There Medico-Legal Support? Aspects from Romanian Practice by Ana-Maria Ungureanu, Sergiu-Ciprian Matei, Daniel Malita

“…<b>Methods</b>: A detailed search was conducted across three electronic databases including MEDLINE/PubMed, Scopus, and Web of Science, with 53 papers serving as the literature corpus of our review. <b>Results</b>: General requirements for artificial intelligence systems used in radiology have been established. …”
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DIGITALIZATION INFLUENCE ON THE ESTIMATION WORK EFFICIENCY OF THE DEVELOPMENT BANKS (ON THE EXAMPLE OF THE ASIAN DEVELOPMENT BANK) by S. Matveevskii

“…The author proposes to use such elements of digitalization as big data and their analysis, project models, artificial intelligence in evaluating the effectiveness of the work of the development bank. …”
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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

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The Use of Data Mining in Public Budgeting: A Systematic Literature Mapping by Jose Claudio Guedes Das Neves, Veronica Oliveira De Carvalho

“…Owing to advances in artificial intelligence in recent years, studies have been conducted to explore and propose intelligent solutions that enable the most diverse analyses in this critical area. …”
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Blended learning challenges of EFL undergraduate students: Student learning experience in an AI-integrated ESP course by Pimsiri Taylor

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AiGPro: a multi-tasks model for profiling of GPCRs for agonist and antagonist by Rahul Brahma, Sunghyun Moon, Jae-Min Shin, Kwang-Hwi Cho

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Exploring the possibilities of transhumanistic risk management by Yu. V. Vorontsova, M. A. Gil Martínez

“…The threat is increasing due to the growing globalization, interconnectedness and the speed of change in the world. These trends are generally useful, but present new challenges, including new types of transhumanistic risks associated with the use of artificial intelligence. …”
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A survey of security threats in federated learning by Yunhao Feng, Yanming Guo, Yinjian Hou, Yulun Wu, Mingrui Lao, Tianyuan Yu, Gang Liu

“…Abstract Federated learning is a distributed machine learning paradigm that emerged as a solution to the need for privacy protection in artificial intelligence. Like traditional machine learning, federated learning is threatened by multiple attacks, such as backdoor attacks, Byzantine attacks, and adversarial attacks. …”
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Federated learning and information sharing between competitors with different training effectiveness by Jiajun Meng, Jing Chen, Dongfang Zhao

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Investigation of the application of an automated monitoring system for detecting transmission cable deterioration in Nigeria: A case study of transmission cable lines between Offa... by C.S. Omoniabipi, R. Agbadede, K.C. Emmanuel, O.J. Adewuni, I. Allison

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Evaluating Diagnostic Accuracy and Treatment Efficacy in Mental Health: A Comparative Analysis of Large Language Model Tools and Mental Health Professionals by Inbar Levkovich

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ChatGPT, Google, or PINK? Who Provides the Most Reliable Information on Side Effects of Systemic Therapy for Early Breast Cancer? by Stefan Lukac, Sebastian Griewing, Elena Leinert, Davut Dayan, Benedikt Heitmeir, Markus Wallwiener, Wolfgang Janni, Visnja Fink, Florian Ebner

“…A common coping strategy is searching for further information, traditionally via search engines or websites, but artificial intelligence (AI) is also increasingly being used. …”
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Cognitive Mimetics for Designing Intelligent Technologies by Tuomo Kujala, Pertti Saariluoma

“…Here, we review design mimetics as a plausible approach to address the problem of how to design generally intelligent technology. We argue that design mimetics can be conceptually divided into three levels based on the source of imitation. …”
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Rethinking the residual approach: leveraging statistical learning to operationalize cognitive resilience in Alzheimer’s disease by Colin Birkenbihl, Madison Cuppels, Rory T. Boyle, Hannah M. Klinger, Oliver Langford, Gillian T. Coughlan, Michael J. Properzi, Jasmeer Chhatwal, Julie C. Price, Aaron P. Schultz, Dorene M. Rentz, Rebecca E. Amariglio, Keith A. Johnson, Rebecca F. Gottesman, Shubhabrata Mukherjee, Paul Maruff, Yen Ying Lim, Colin L. Masters, Alexa Beiser, Susan M. Resnick, Timothy M. Hughes, Samantha Burnham, Ilke Tunali, Susan Landau, Ann D. Cohen, Sterling C. Johnson, Tobey J. Betthauser, Sudha Seshadri, Samuel N. Lockhart, Sid E. O’Bryant, Prashanthi Vemuri, Reisa A. Sperling, Timothy J. Hohman, Michael C. Donohue, Rachel F. Buckley

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Evaluation of ChatGPT-4 for the detection of surgical site infections from electronic health records after colorectal surgery: A pilot diagnostic accuracy study by Josep M. Badia, Daniel Casanova-Portoles, Estela Membrilla, Carles Rubiés, Miquel Pujol, Joan Sancho

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“We Should Not Be Like a Dinosaur”—Using AI Technologies to Provide Formative Feedback to Students by Tony Burner, Yngve Lindvig, Jarl Inge Wærness

“…Artificial intelligence (AI) technologies have the potential to enhance learning, teaching, and assessment by providing AI-generated feedback to students. …”
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Evaluating ChatGPT-4's performance on oral and maxillofacial queries: Chain of Thought and standard method by Kaiyuan Ji, Zhihan Wu, Jing Han, Guangtao Zhai, Guangtao Zhai, Jiannan Liu

“…With the continuous advancement of Artificial Intelligence technologies, particularly the application of generative pre-trained transformers like ChatGPT-4, there is potential to enhance public awareness of the prevention and early detection of these diseases. …”
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A practical guide to FAIR data management in the age of multi-OMICS and AI by Douaa Mugahid, Jared Lyon, Charlie Demurjian, Nathan Eolin, Charlie Whittaker, Mark Godek, Douglas Lauffenburger, Sarah Fortune, Stuart Levine

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Deep learning helps discriminate between autoimmune hepatitis and primary biliary cholangitis by Alessio Gerussi, Oliver Lester Saldanha, Giorgio Cazzaniga, Damiano Verda, Zunamys I. Carrero, Bastian Engel, Richard Taubert, Francesca Bolis, Laura Cristoferi, Federica Malinverno, Francesca Colapietro, Reha Akpinar, Luca Di Tommaso, Luigi Terracciano, Ana Lleo, Mauro Viganó, Cristina Rigamonti, Daniela Cabibi, Vincenza Calvaruso, Fabio Gibilisco, Nicoló Caldonazzi, Alessandro Valentino, Stefano Ceola, Valentina Canini, Eugenia Nofit, Marco Muselli, Julien Calderaro, Dina Tiniakos, Vincenzo L’Imperio, Fabio Pagni, Nicola Zucchini, Pietro Invernizzi, Marco Carbone, Jakob Nikolas Kather

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Detection of other pathologies when utilising computer-assisted digital solutions for TB screening by J. Sebastian, I.D. Olaru, A. Giannakis, M. Arentz, S.V. Kik, M. Ruhwald, S. Linsen, G. Günther, P. Wolf, F.J. Herth, T. Weber, C.M. Denkinger

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