A systematic review of serious games as tools for STEM education by Talia Tene, Diego Fabián Vique López, Paulina Elizabeth Valverde Aguirre, Nilo Israel Cabezas Oviedo, Cristian Vacacela Gomez, Stefano Bellucci

“…The analysis also explored challenges related to the implementation of serious games, including technological limitations, the need for comprehensive educator training, and ethical considerations around data privacy, all of which may impact adoption in educational settings.ResultsSerious games demonstrated a positive impact on learning outcomes, such as knowledge acquisition, skill retention, and the application of STEM concepts, along with increased student engagement and motivation. …”
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Privacy-preserving approach for IoT networks using statistical learning with optimization algorithm on high-dimensional big data environment by Fatma S. Alrayes, Mohammed Maray, Asma Alshuhail, Khaled Mohamad Almustafa, Abdulbasit A. Darem, Ali M. Al-Sharafi, Shoayee Dlaim Alotaibi

“…As IoT networks enlarge, certifying sensitive data privacy while still employing data analytics authority is vital. …”
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Blockchain-assisted improved interval type-2 fuzzy deep learning-based attack detection on internet of things driven consumer electronics by Rana Alabdan, Bayan Alabduallah, Nuha Alruwais, Munya A. Arasi, Somia A. Asklany, Omar Alghushairy, Fouad Shoie Alallah, Abdulrhman Alshareef

“…Still, IoT remains to transform the consumer electronics field; security in IoT becomes critical, and it is utilized by cyber attackers to pose risks to public safety, compromise data privacy, gain unauthorized access, and even disrupt operations. …”
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Prospective Applications of Artificial Intelligence In Fetal Medicine: A Scoping Review of Recent Updates by Miskeen E, Alfaifi J, Alhuian DM, Alghamdi M, Alharthi MH, Alshahrani NA, Alosaimi G, Alshomrani RA, Hajlaa AM, Khair NM, Almuawi AM, Al-Jaber KH, Elrasheed FE, Elhassan K, Abbas M

“…Despite these advancements, challenges related to the ethical use of AI, data privacy, and the need for extensive validation of AI tools in diverse populations were noted.Conclusion: The potential benefits of AI in fetal medicine are immense, offering a brighter future for our field. …”
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Users’ Perspectives of Direct-to-Consumer Telemedicine Services: Survey Study by Kate Churruca, Darran Foo, Andrew Turner, Emily Crameri, Maree Saba, Samantha Spanos, Matthew Vickers, Jeffrey Braithwaite, Louise A Ellis

“…Concerns were related to data privacy and the costs of utilizing the services. …”
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The role of artificial intelligence and machine learning in predicting and combating antimicrobial resistance by Hazrat Bilal, Muhammad Nadeem Khan, Sabir Khan, Muhammad Shafiq, Wenjie Fang, Rahat Ullah Khan, Mujeeb Ur Rahman, Xiaohui Li, Qiao-Li Lv, Bin Xu

“…Challenges, such as ethical considerations, data privacy, and model biases exist, however, the continuous development of novel methodologies enables AI/ML to play a significant role in combating AMR.…”
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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

“…About half endorsed negative opinions, citing AI’s lack of empathy, technical limitations in addressing complex mental health situations, and data privacy concerns. Most participants desired some human involvement in AI-driven therapy and expressed concern about the risk of AI conversational agents being seen as replacements for therapy. …”
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Swarm learning with weak supervision enables automatic breast cancer detection in magnetic resonance imaging by Oliver Lester Saldanha, Jiefu Zhu, Gustav Müller-Franzes, Zunamys I. Carrero, Nicholas R. Payne, Lorena Escudero Sánchez, Paul Christophe Varoutas, Sreenath Kyathanahally, Narmin Ghaffari Laleh, Kevin Pfeiffer, Marta Ligero, Jakob Behner, Kamarul A. Abdullah, Georgios Apostolakos, Chrysafoula Kolofousi, Antri Kleanthous, Michail Kalogeropoulos, Cristina Rossi, Sylwia Nowakowska, Alexandra Athanasiou, Raquel Perez-Lopez, Ritse Mann, Wouter Veldhuis, Julia Camps, Volkmar Schulz, Markus Wenzel, Sergey Morozov, Alexander Ciritsis, Christiane Kuhl, Fiona J. Gilbert, Daniel Truhn, Jakob Nikolas Kather

“…Even with a smaller dataset, we demonstrate the practical feasibility of deploying SL internationally with on-site data processing, addressing challenges such as data privacy and annotation variability. Conclusions Combining weakly supervised learning with SL enhances inter-institutional collaboration, improving the utility of distributed datasets for medical AI training without requiring detailed annotations or centralized data sharing.…”
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