Investigating Online Psychotherapy in the Framework of Ethical Codes by Gamze Şen Pakyürek, Burcu Korkmaz Yayın

“…The ways people communicate and interact have been changing over time as a result of the increasingly widespread developments and changes in technology. The use of the Internet, which has become an inevitable part of human life, increasingly raises the question of whether psychotherapy can be performed over the Internet. …”
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Digital technologies in education: the view of medical students by A. G. Zabolotniy, M. E. Mirgorodskaya, A. O. Moskalenko, A. I. Loseva

“…Despite the overall positive perception, the study identified existing problems, such as a lack of practical skills, data privacy issues, and decreased concentration.Conclusion. …”
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The role of artificial intelligence in vascular care by Nehaar Nimmagadda, BS, Edouard Aboian, MD, Sharon Kiang, MD, Uwe Fischer, MD

“…The review also explores cost-effectiveness data, resource optimization, and challenges such as algorithmic bias and data privacy. …”
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Large language model application in emergency medicine and critical care by Haw Hwai, Yi-Ju Ho, Chih-Hung Wang, Chien-Hua Huang

“…However, integrating LLMs into healthcare raises legal, ethical, and privacy concerns, including data protection and the necessity for informed consent. …”
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Advancements in artificial intelligence for atopic dermatitis: diagnosis, treatment, and patient management by Fang Cao, Yujie Yang, Cui Guo, Hui Zhang, Qianying Yu, Jing Guo

“…Despite challenges in data privacy and model transparency, the potential of artificial intelligence in advancing AD care is enormous, bringing the future to precision medicine and improving patient outcomes. …”
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Analysis of Modernization Movements in Housing During the Early Republican Period: Karabük, Türkiye by Ayşe Merve Saraçoğlu Gezer, Ayşen Esra Bölükbaşı Ertürk

“…In this study, the idea that houses are not only structural products, but the structures that have become homes for humans, is approached and discussed through concepts such as spatial organization, relationality, accessibility, visibility, density of use, depth, privacy, and belonging. The Yenişehir district in Karabük province, which is thought to have been transformed into design by considering these concepts, also constitutes the focus area of the study idea in this sense. …”
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Motivated by Design: A Codesign Study to Promote Challenging Misinformation on Social Media by Selin Gurgun, Emily Arden-Close, Keith Phalp, Raian Ali

“…We applied the unified theory of acceptance and use of technology (UTAUT) as a theoretical framework and analysed our data based on the core constructs of this framework: performance expectancy, effort expectancy, social influence, and facilitating conditions. …”
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The Interdependence of Competition Policy, Consumer Policy and Regulation in Introducing and Safeguarding Effective Competition in the EU Telecommunications Market by Andreas Bartels, Doru Alexandru Pleșea, Michael Studeny, Vanessa Just

“…In the case of telecommunications, several initiatives of the European Commission and of national regulatory authorities to falls in prices and forced operators to implement customer friendly rules and to protect customer data and privacy. The authors consider that the European Commission has tried to establish and harmonise rules across all member states in order to protect the interests and rights of consumers on the telecommunication market. …”
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Feasibility of a computerized clinical decision support system delivered via a socially assistive robot during grand rounds: A pilot study by Valentino Šafran, Urška Smrke, Bojan Ilijevec, Samo Horvat, Vojko Flis, Nejc Plohl, Izidor Mlakar

“…Background Adopting Clinical Decision Support Systems in healthcare faces challenges such as complexity, poor integration with workflows, and concerns about data privacy and quality. Issues such as too many alerts, confusing errors, and difficulty using the technology in front of patients make adoption challenging and prevent it from fitting into daily workflows. …”
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Applying Distributed Ledger Concepts to a Swiss Regional Label Ecosystem by Saša Malešević, Michael Lustenberger, Florian Spychiger

“…Our findings show that a distributed ledger application for the regional label ecosystem should have an open and decentralized architecture giving all participants full access to the shared data while still providing security and privacy for sensitive data. …”
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An intelligent conversational agent for querying satellite manoeuvre detections: a case study by Wathsala Karunarathne, David P Shorten, Matthew Roughan

“…Moreover, our system can handle sensitive and confidential data without breaching privacy. This paper presents the results of deploying SatChat in conjunction with a particle filter based manoeuvre detection system.…”
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IoT-driven smart grid monitoring with enhanced energy routing and advanced encryption techniques by K. Perachi, S. Balaji

“…The proposed work incorporates Improved Paillier Homomorphic (IPH) based encryption scheme, which assures integrity and confidentiality of data transmitted. The outcomes of proposed smart grid system using MATLAB and FPGA controller demonstrate significant improvements by providing enhanced security and optimal routing. …”
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Revolutionizing Midwifery Education : A Scoping Review of Artificial Intelligence Methods by Harridhil Silmi, Ari Indra Susanti

“…Despite these advancements, challenges such as ethical concerns (algorithmic bias, privacy issues), poor data quality, limited AI expertise among educators, and resistance to change in traditional learning environments were noted. …”
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DIKWP-Driven Artificial Consciousness for IoT-Enabled Smart Healthcare Systems by Yucong Duan, Zhendong Guo

“…This is achieved through a structured DIKWP pipeline—from data acquisition and information processing to knowledge extraction, wisdom inference, and purpose-driven decision-making—that enables semantic reasoning, adaptive goal-driven responses, and privacy-preserving decision-making in healthcare environments. …”
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The Transformative Impact of Artificial Intelligence in Healthcare: Innovations, applications, and future prospects by Shen Ruoyu

“…At the same time, the application of AI in healthcare poses a number of challenges, such as data privacy, algorithmic bias, and ethics. This study also explores the role of AI in global health, the need for policies and regulations, and the long-term impact of AI on future healthcare systems. …”
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Views on the incorporation of Geolocation Devices in Field Trips by Marta Magallón, Cristina Mercader

“…Geolocation in field trips has great potential, but it is an understudied field that needs more research and discussion to ensure data privacy.…”
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Criminal Law Challenged by Crossing into Virtual Reality by Mahdi Karimi

“…Due to its interactive and immersive nature virtual reality can collect and record large volumes of users' personal and sensitive information during use. This information includes behavioral patterns, interests, preferences, biometric and physiological data such as heart rate, body energy consumption, etc., which are comprehensively collected to create a complete and accurate user profile, potentially resulting in severe violations of users' mental privacy. …”
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Blockchain enhanced smart healthcare management for chronic diseases by Shruti Saxena, Shivani Saxena, Nikunj Tahilramani, Panem Charanarur

“…Abstract Chronic diseases affect millions of people worldwide, making it a significant issue for the efficient and secure management of patient data. Most traditional chronic disease management systems fail to manage data in real time and struggle with interoperability and security issues. …”
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Hybrid-CID: Securing IoT with Mongoose Optimization by S. Merlin Sheeba, R. S. Shaji

“…After preprocessing, the Hybrid-CID framework develops a hybrid optimization algorithm to identify the intrusions from the traffic data which ensures data privacy by maintaining the reliability and integrity of IoT deployments. …”
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A Comprehensive Survey of Electric Vehicle Charging Demand Forecasting Techniques by Mamunur Rashid, Tarek Elfouly, Nan Chen

“…Meanwhile, emerging machine learning techniques bring promising prospects, yet exhibit suboptimal performance with insufficient data. Additionally, existing studies often overlook several critical areas such as overcoming data scarcity, security and privacy concerns, managing the inherent stochasticity of demand data, selecting forecasting methods for a specific feature, and developing standardized performance metrics. …”
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