Exploring IoT integration challenges: Causal relationships and strategic implications for business models by Parveen Siwach, Disha Gulia, Dhiraj Kumar Yadav, Mohit Malik, Vijay Kumar Gahlawat

“…Thirteen crucial components were analysed, influencing interoperability challenges, data security and privacy issues, standardized issues, high initial investment, scaling obstacles, and adverse environmental effects. …”
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A Structured and Methodological Review on Multi-View Human Activity Recognition for Ambient Assisted Living by Fahmid Al Farid, Ahsanul Bari, Abu Saleh Musa Miah, Sarina Mansor, Jia Uddin, S. Prabha Kumaresan

“…Key challenges such as data remediation, privacy, and generalization are discussed, alongside potential solutions such as sensor fusion and advanced learning strategies. …”
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Human Behavior Analysis: A Comprehensive Survey on Techniques, Applications, Challenges, and Future Directions by Siham Essahraui, Ismail Lamaakal, Yassine Maleh, Khalid El Makkaoui, Mouncef Filali Bouami, Ibrahim Ouahbi, Ahmed A. Abd El-Latif, May Almousa, Joel J. P. C. Rodrigues

“…The survey also delves into data sources and methodologies used in HBA, such as sensor data, social media data, physiological signals, and multimodal analysis. …”
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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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Investigating the Key Trends in Applying Artificial Intelligence to Health Technologies: A Scoping Review. by Tawil Samah, Merhi Samar

“…<h4>Background</h4>The use of Artificial Intelligence (AI) is exponentially rising in the healthcare sector. …”
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Factors leading to the adoption of blockchain technology in financial reporting by Shaiku Shahida Saheb, Venkata Krishna Reddy Chinnapareddy, Divya Devalla, Sirisha Charugulla, Naga Bhavani Chakka, Kunchakara Raja Sekhar

“…This research analyzed accounting professionals’ awareness of information and communication technologies (ICT), data security, data privacy, and training among accounting professionals. …”
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Lessons from Henrietta Lacks inform a transparency framework to catalyze generative artificial intelligence in medicine by Tej D. Azad, Anmol Warman, Deven McGraw, Suchi Saria

“…The integration of generative artificial intelligence (AI) tools into healthcare poses significant challenges concerning data privacy and governance. Drawing on the historical vignette of Henrietta Lacks, this perspective examines the implications of using generative AI in clinical settings. …”
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Ethical Challenges of Applying Advanced Technologies in Medical Education: A Scoping Review by Shayan Khaje Hosaini, Mahdi Khayatan, Hossein Sadeghi, Feze Ebrahimi

“…The results showed that the most important common ethical challenges in modern technologies such as artificial intelligence, simulators, big data, information technology, and digital social media included privacy protection, bias, and lack of accountability. …”
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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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Human-Centered Design of an mHealth Tool for Optimizing HIV Index Testing in Wartime Ukraine: Formative Research Case Study by Nancy Puttkammer, Elizabeth Dunbar, Myroslava Germanovych, Mariia Rosol, Matthew Golden, Anna Hubashova, Vladyslav Fedorchenko, Larisa Hetman, Liudmyla Legkostup, Jan Flowers, Olena Nesterova

“…The tool also enables health care workers (HCWs) to see summarized data to facilitate partner tracking. …”
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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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Key digital health literacy competencies for citizens – A Delphi study by Mika Uitto, Merja Hoffrèn-Mikkola, Leena Paakkari

“…Qualitative and quantitative methods were used to analyse the data. Results A broad list of competencies was produced, and the 17 most important were identified. …”
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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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Acceptability of an online peer support group as a strategy to improve antiretroviral therapy adherence among young people in Kampala district, Uganda: qualitative findings by Yerusa Kiirya, Sabrina Kitaka, Joan Kalyango, Joseph Rujumba, Gloria Adobea Odei Obeng-Amoako, Mathew Amollo, Joan Nangendo, Charles Karamagi, Philipa Musooke, Anne Katahoire

“…In implementing online support groups, due consideration should be given to software tools with high privacy standards and zero-rated data use for new apps. …”
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Heterogeneity in willingness to share personal health information: a nationwide cluster analysis of 20,000 adults in Japan by Miho Sassa, Akifumi Eguchi, Keiko Maruyama-Sakurai, Takanori Fujita, Yumi Kawamura, Takayuki Kawashima, Yuta Tanoue, Daisuke Yoneoka, Hiroaki Miyata, Takanori Yamashita, Naoki Nakashima, Shuhei Nomura

“…The survey examined willingness to share personal health information with nine types of recipients (healthcare providers, ambulance crew, application providers, family members, local authorities, employers, pharmaceutical companies, government agencies, and research institutions), trust levels in these recipients, and 17 factors influencing sharing decisions across health benefits, convenience, economic incentives, social significance, information details, transparency, and privacy considerations. Clustering analysis using Uniform Manifold Approximation and Projection (UMAP) and Ordering Points to Identify the Clustering Structure (OPTICS) algorithms was performed to identify distinct patterns in sharing preferences. …”
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Exploring Youth Perspectives on Digital Mental Health Platforms: Qualitative Descriptive Study by Sarah Daniel, Lauren Volcko, Emilie Bassi, Julia Hews-Girard, Katherine Bright, Marianne Barker, Lia Norman, Karina Pintson, Geneca Henry, Sumaya Soufi, Chukwudumbiri Efrem Omorotionmwan, Melanie Fersovitch, Leanne Stamp, Karen Moskovic, David W Johnson, Gina Dimitropoulos

“…ResultsParticipants emphasized the importance of privacy, security, and personalization in building trust in the platform, with 72% (28/39) reporting that clear communication about data protection would increase their likelihood of use. …”
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Nurses’ perceptions of artificial intelligence (AI) integration into practice: An integrative review by Lester Lora, Paula Fo

“…However, nurses show concerns about ethical implications for data privacy, and the potential deskilling of human expertise. …”
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Interactive Applications with Artificial Intelligence: The Role of Trust among Digital Assistant Users by Pur Purwanto, Kuswandi Kuswandi, Fatmah Fatmah

“…The purpose of the present study was to analyze the effects of controllability, synchronicity, bidirectionality on perceived performance and user satisfaction with digital assistant applications as moderated by perceived trust. Amos 22.0 was used to analyze a sample of 150 digital assistant users of brands Samsung Bixby, Google Assistant, Apple Siri, and other brands.Results show that bidirectionality is the most worrying feature in terms of perceived performance of digital assistants related to trust and privacy protection issues of personal data, whereas the other two features contribute to perceived performance and digital assistant users’ satisfaction. …”
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