Ethics in Consumer Neuroscience: A Non-Exhaustive Presentation by Dănuț TRIFU

“…From this standpoint, large differences were found when analyzing research objectives, instruments, data disclosure, and findings dissemination and use as well as participants’ protection and data privacy rights. …”
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From assistance to integrity: exploring the role of AI in academic communication across Russian and Turkish campuses by Olga V. Sergeeva, Marina R. Zheltukhina, Servet Demir

“…Turkish students exhibited a predominantly favorable outlook toward the collaborative capabilities of AI, but Russian students placed greater emphasis on apprehensions over privacy and data security.DiscussionThe study highlights the complex interplay between the benefits and challenges of AI in educational environments. …”
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Assessment of implementation challenges of electronic medical record in Yekatit 12 hospital medical college. by Abiyot Alemu Mamae, Ephrem Mamo

“…Descriptive statistics was employed to summarise the quantitative data. Qualitative data was thematically presented.…”
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eHealth Technology: What Do We Know and What do We Need to Learn by Ramzi A. Haraty, Ola A Sukkarieh

“…<p>eHealth is the use of information and communication technologies for health. eHealth serves multiple utilization purposes for storage, exchange, and retrieval of digital data for administrative, clinical, educational and research purposes. …”
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An Intelligent Client Selection Algorithm of Federated Learning for Class-imbalance by ZHU Suxia, WANG Yunmeng, YAN Peisen, SUN Guanglu

“…This algorithm does not use any auxiliary data set. Under the premise of ensuring the privacy of the client ′ s local data invisible to the server it uses the Tanimoto coefficient to measure the difference between the local data distribution and the target distribution. …”
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Artificial intelligence in early warning systems for infectious disease surveillance: a systematic review by Ismael Villanueva-Miranda, Guanghua Xiao, Guanghua Xiao, Yang Xie, Yang Xie

“…After screening 600 records and removing duplicates and non-relevant articles, the search yielded 67 relevant studies for review.ResultsKey findings reveal the prevalent use of machine learning (ML), deep learning (DL), and natural language processing (NLP), which often integrate diverse data sources (e.g., epidemiological, web, climate, wastewater). …”
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Trustworthy AI and Federated Learning for Intrusion Detection in 6G-Connected Smart Buildings by Rosario G. Garroppo, Pietro Giuseppe Giardina, Giada Landi, Marco Ruta

“…Collaborative training across multiple cooperative smart buildings enables model development without direct data sharing, ensuring privacy by design. Furthermore, the design of the proposed method considers three key principles: sustainability, adaptability, and trustworthiness. …”
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Ethical Considerations in Carbamazepine Pharmacogenomics Testing by Madeline Yuzwa, Rachel Bracken

“…We propose an updated framework for ethical implementation of pharmacogenomic testing, emphasizing four key areas: ensuring consistent and equitable access to testing, comprehensive patient education and informed consent, robust patient privacy and data management practices, and culturally aware approaches to genetic counseling. …”
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IoT-enabled real-time health monitoring system for adolescent physical rehabilitation by Jie Yang, Juanjuan Hu, Wenrui Chen

“…To evaluate the system’s performance, experiments were conducted to assess motion pattern recognition accuracy, response time, real-time analysis capabilities, and system stability and capacity. The methods we use and the data we collect are from public datasets, do not involve privacy protection for adolescents, and have been approved by the institutional ethics committee. …”
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Navigating the digital transformation: industry 4.0's role in modern healthcare by Phonchai Thongwichian

“…Key findings include the prevalent use of data analytics and AI in enhancing patient care and operational efficiencies, and the emerging challenges related to data privacy and ethical considerations. …”
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Development of Energy Demand Profile Based on Non-Historical and Non-Energy Variables: A Headquarters’ Offices Case Study by Juliana Cruz, Isabel Lasierra, Yassine Rqiq, Víctor Ballestín

“…Under the Positive Energy Districts framework, cities authorities must be informed of the energy demand of districts to design tailor-made policies and strategies to promote the deployment of energy efficiency, sharing and transition actions. However, the diverse data sources and long procedures to collect data because of privacy permissions may result in a slow-down of the development of these roadmaps. …”
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An overview of machine unlearning by Chunxiao Li, Haipeng Jiang, Jiankang Chen, Yu Zhao, Shuxuan Fu, Fangming Jing, Yu Guo

“…Nowadays, machine learning is widely used in various applications. Training a model requires huge amounts of data, but it can pose a threat to user privacy. …”
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Digital Phenotyping of Mental and Physical Conditions: Remote Monitoring of Patients Through RADAR-Base Platform by Zulqarnain Rashid, Amos A Folarin, Yuezhou Zhang, Yatharth Ranjan, Pauline Conde, Heet Sankesara, Shaoxiong Sun, Callum Stewart, Petroula Laiou, Richard J B Dobson

“…Digital biomarkers developed through collected data are providing useful insights into different diseases. …”
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Who are MaaS avoiders, wanderers or enthusiasts and what drives their intentions to adopt MaaS? by Zuoxian Gan, Wentao Li

“…This study integrates the Unified Theory of Technology Acceptance and Use (UTAUT) and Status Quo Bias (SQB) theories and draws on survey data covering nine dimensions: performance expectancy, effort expectancy, social influence, individual innovation, transition costs, sunk costs, inertia and resistance to use. …”
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Integrating an AI platform into clinical IT: BPMN processes for clinical AI model development by Kfeel Arshad, Saman Ardalan, Björn Schreiweis, Björn Bergh

“…To facilitate the architecture of the AI platform, BPMN diagrams of all the identified processes are created. Clinical use cases are used to evaluate the processes using the FEDS framework. …”
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User experience with pregnancy tracker mobile apps: Findings from comment-based qualitative study. by Md Alamgir Hossain, Janet Perkins, Md Tanvir Hasan, Sharon Low Bee Lian, Ribica Chowdhury, Md Tanzirul Alam, Anisuddin Ahmed, Mohammad Sohel Shomik, Shams El Arifeen, Ahmed Ehsanur Rahman, Aniqa Tasnim Hossain, M Shafiqur Rahman

“…This study aimed to explore the user experience (UX) of pregnancy tracker mobile apps used by pregnant women.<h4>Methods</h4>This study explored the dynamics between users' experiences and multifaceted dimensions of advanced features, high-quality materials and information, strict privacy policies, problem-solving abilities, and the usefulness of app features and contents. …”
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Development of a remote therapeutic monitoring platform: applications for movement disorders by Sreetharan Thankathuraipandian, Walter Greenleaf, Anahita Kyani, Tucker Tomlinson, Binesh Balasingh, Erika Ross, Yagna Pathak

“…Through an investigational remote monitoring application (RM app) integrating patient-reported outcomes (PROs) and objective data using wearables, we aimed to develop an accessible, data-driven digital tool to monitor patient symptoms and deliver low-burden and easy-to-access DBS therapy. …”
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Efficiently Hiding Sensitive Itemsets with Transaction Deletion Based on Genetic Algorithms by Chun-Wei Lin, Binbin Zhang, Kuo-Tung Yang, Tzung-Pei Hong

“…Data mining is used to mine meaningful and useful information or knowledge from a very large database. …”
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Systematic Review of Usability Factors, Models, and Frameworks with Blockchain Integration for Secure Mobile Health (mHealth) Applications by Irum Feroz, Nadeem Ahmad

“…Findings from RQ2 highlighted gaps in usability models, such as the lack of age-specific guidance for multimodal interaction, error recovery, and data privacy. These results underscore the need to define a new usability framework and incorporate blockchain to meet the unique needs of older adults in mHealth applications, supporting both secure and accessible healthcare management.…”
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An eye for an ‘I:’ a critical assessment of artificial intelligence tools in migration and asylum management by Lucia Nalbandian

“…Abstract The promise of artificial intelligence has been originally to put technology at the service of people utilizing powerful information processors and ‘smart’ algorithms to quickly perform time-consuming data analysis. It soon though became apparent that the capacity of artificial intelligence to scrape and analyze big data would be particularly useful in surveillance policies. …”
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