Engaging Stakeholders in the Development of a National Digital Mental Health Strategy: Reflexive Thematic Analysis by Sarah Kennedy, Robyn Fitzgerald, Ruth Melia

“…Invited stakeholders included experts in DMH research, clinical practice, and mental health advocacy and policy, together with those with lived experience of accessing mental health services. Qualitative data were analyzed using a reflexive thematic analysis approach. …”
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Transforming higher education with robotic process automation: enhancing efficiency, innovation, and student-centered learning by Vivek Bhardwaj, Mukesh Kumar

“…Inclusion criteria focused on studies published between 2020 and 2024 that addressed RPA applications in education. Data analysis was conducted using thematic synthesis to identify key trends across the selected studies.…”
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A Netnographic Analysis of ChatGPT Usage in Technology Forums in The Context of Society 5.0 by Serdar Pirtini, Songül Bilgili Sülük

“…However, users also expressed notable concerns about issues such as data security, privacy, and ethical considerations, underlining the dual nature of its societal impact. …”
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ChatGPT in orthodontics: limitations and possibilities by Lima Nara Grazieli Martins, Costa Lavínia, Santos Patrícia Bittencourt

“…ChatGPT sometimes produces nonsensical responses and poses privacy risks associated with patient data. Generated medical advice might not therefore match professional expertise. …”
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Opportunities and challenges of social media for oral health literacy improvement: a qualitative investigation based on Iranian dentists’ perspectives by Hossein Ghalavand, Sirous Panahi, Mohsen Nouri

“…Methods In the current qualitative investigation, a semi-structured interview was conducted with 24 dentists utilizing a purposive snowball sampling method. The analysis of the data was performed using thematic analysis in the MAXQDA 10 software. …”
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The Impact of Artificial Intelligence (AI) on Students’ Academic Development by Aniella Mihaela Vieriu, Gabriel Petrea

“…However, challenges such as over-reliance on AI, diminished critical thinking skills, data privacy risks, and academic dishonesty were also identified. …”
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An efficient ECC and fuzzy verifier based user authentication protocol for IoT enabled WSNs by T. Sudhakar, R. Praveen, V. Natarajan

“…Ensuring integrity and privacy of data while transmitting it from sensors to the data analytics servers is crucial in open network. …”
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Efficient Elliptic-Curve-Cryptography-Based Anonymous Authentication for Internet of Things: Tailored Protocols for Periodic and Remote Control Traffic Patterns by Shunfang Hu, Yuanyuan Zhang, Yanru Guo, Yanru Chen, Liangyin Chen

“…IoT-based applications require effective anonymous authentication and key agreement (AKA) protocols to secure data and protect user privacy due to open communication channels and sensitive data. …”
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Lightweight Encryption Technique to Enhance Medical Image Security on Internet of Medical Things Applications by Mohammad Kamrul Hasan, Shayla Islam, Rossilawati Sulaiman, Sheroz Khan, Aisha-Hassan Abdalla Hashim, Shabana Habib, Mohammad Islam, Saleh Alyahya, Musse Mohamed Ahmed, Samar Kamil, Md Arif Hassan

“…Therefore, patients may lose the privacy of data contents since images are different from the text because of their two particular factors of loss of data and confidentiality. …”
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The Application of Artificial Intelligence in Medical Diagnostics: Implications for Sports Medicine by Michał Bolek, Dominika Musialska, Aleksandra Kędzia, Bartosz Jagieła, Monika Fidyk, Magda Minkiewicz, Maciej Dyda

“…However, their integration into healthcare raises critical ethical concerns related to data privacy, algorithmic bias, and transparency. …”
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FedDyH: A Multi-Policy with GA Optimization Framework for Dynamic Heterogeneous Federated Learning by Xuhua Zhao, Yongming Zheng, Jiaxiang Wan, Yehong Li, Donglin Zhu, Zhenyu Xu, Huijuan Lu

“…Federated learning (FL) is a distributed learning technique that ensures data privacy and has shown significant potential in cross-institutional image analysis. …”
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Trusted execution environments for quantum computers by Theodoros Trochatos, Chuanqi Xu, Sanjay Deshpande, Yao Lu, Yongshan Ding, Jakub Szefer, Jakub Szefer

“…The cloud-based environments in which today's and future quantum computers will operate raise concerns about the security and privacy of user's intellectual property, whether code, or data, or both. …”
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Integrating artificial intelligence in drug discovery and early drug development: a transformative approach by Alberto Ocana, Atanasio Pandiella, Cristian Privat, Iván Bravo, Miguel Luengo-Oroz, Eitan Amir, Balazs Gyorffy

“…Ethical and regulatory issues, such as data privacy, also challenge the implementation of AI. …”
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Advancing Pediatric Growth Assessment with Machine Learning: Overcoming Challenges in Early Diagnosis and Monitoring by Mauro Rodriguez-Marin, Luis Gustavo Orozco-Alatorre

“…Despite these advancements, challenges remain regarding data quality, clinical integration, and privacy concerns. …”
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Cross-Receiver Radio Frequency Fingerprint Identification: A Source-Free Adaptation Approach by Jian Yang, Shaoxian Zhu, Zhongyi Wen, Qiang Li

“…We propose a novel approach called contrastive source-free cross-receiver network (CSCNet), which employs contrastive learning to facilitate model adaptation using only unlabeled data from the deployed receiver. …”
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Blockchain-Based Mobile Edge Computing Framework for Secure Therapy Applications by MD. Abdur Rahman, M. Shamim Hossain, George Loukas, Elham Hassanain, Syed Sadiqur Rahman, Mohammed F. Alhamid, Mohsen Guizani

“…For security, the framework uses blockchain–Tor-based distributed transactions to preserve the therapeutic data privacy, ownership, generation, storage, and sharing. …”
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Gathering requirements for IoT-assisted wellbeing in elementary school—a multi-stakeholder perspective by Karin Brodén, Jonas Andersson, Agnieszka Kitkowska, Awais Ahmad, Peter Mozelius

“…We analyzed the data in an inductively and deductively way, using the Konu and Rimpelä’s wellbeing framework.ResultsOur novel findings reveal alignment between staff and student perspectives across the framework’s categories: having, loving, being and health. …”
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A Comprehensive Investigation of Anomaly Detection Methods in Deep Learning and Machine Learning: 2019–2023 by Shalini Kumari, Chander Prabha, Asif Karim, Md. Mehedi Hassan, Sami Azam

“…FL provides a collaborative way to improve AD using distributed data sources and data privacy.…”
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Generative AI, IoT, and blockchain in healthcare: application, issues, and solutions by Tehseen Mazhar, Sunawar khan, Tariq Shahzad, Muhammad Amir khan, Mamoon M. Saeed, Joseph Bamidele Awotunde, Habib Hamam

“…Abstract This article discusses Blockchain and Generative AI in healthcare, including their uses, difficulties, and solutions. Blockchain technology improves EHR security, privacy, and interoperability, while smart contracts streamline supply chain management and administrative procedures. …”
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The Role of Artificial Intelligence (AI) in Transforming Small and Medium Enterprises (SMEs): by Mugisha, Justin, Francis Adyanga, Akena, Ocan, Johnson

“…Also, it was found that building workforce capacity through collaborations and customized training programs can help close the skills gap, while improving cybersecurity and implementing efficient data management frameworks can help with privacy issues. …”
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