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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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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A qualitative study on the unmet sexual needs of older women by Farzaneh Saadatmand, Mitra Savabi-Esfahani, Zahra Heidari, Marjan Beigi

“…Data were analyzed using the Graneheim and Lundman approach. …”
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Federated learning based reference evapotranspiration estimation for distributed crop fields. by Muhammad Tausif, Muhammad Waseem Iqbal, Rab Nawaz Bashir, Bayan AlGhofaily, Alex Elyassih, Amjad Rehman Khan

“…The study intends to propose ETo estimation of multiple locations with distinct weather conditions using a federated learning approach. Traditional centralized approaches require aggregating all data in one place, which can be problematic due to privacy concerns and data transfer limitations. …”
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Development of the ethical behavior scale in nursing by Şükriye Şahin, Şule Alpar

“…Qualitative data was obtained through in-depth interviews. Quantitative data were collected using the Ethical Behavior Scale in Nursing (EBSN). …”
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Propagation routing for hybrid bandwidth allocation with reinforcement learning in VANET infrastructure analysis by G. Michael, A. Selvakumar, Ramesh Sundar, S. Manikandan, R. Gnanajeyaraman, U. Arul

“…The data are sent using reinforcement Q-learning techniques in conjunction with propagation routeing. …”
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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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Federated Online Learning for adaptive load forecasting across decentralized nodes by Mohamed Ahmed T.A. Elgalhud, Mohammad Navid Fekri, Syed Mir, Katarina Grolinger

“…The main drawbacks are twofold: (1) data sharing and transfer results in privacy and security risks, and (2) static models miss opportunities to learn from new data. …”
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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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Federated learning with integrated attention multiscale model for brain tumor segmentation by Sherly Alphonse, Fidal Mathew, K. Dhanush, V. Dinesh

“…However, traditional brain tumor segmentation techniques usually rely on centralized data storage and analysis, which might result in privacy issues and violations. …”
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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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Application progress of artificial intelligence in managing thyroid disease by Qing Lu, Yu Wu, Jing Chang, Li Zhang, Qing Lv, Hui Sun

“…Despite the broad prospects of AI applications, challenges related to data privacy, model interpretability, and clinical applicability remain. …”
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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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Mapping the landscape of machine learning in chronic disease management: A comprehensive bibliometric study by Shiying Shen, Wenhao Qi, Sixie Li, Jianwen Zeng, Xin Liu, Xiaohong Zhu, Chaoqun Dong, Bin Wang, Qian Xu, Shihua Cao

“…Conclusion ML is rapidly integrating into personalized medicine, real-time monitoring, and multimodal data fusion. However, challenges such as limited collaboration, weak model generalization, and data privacy persist. …”
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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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Machine learning for post-diploma educational and career guidance: a scoping review in AI-driven decision support systems by Flavio Manganello, Elisa Rasca, Alberto Villa, Andrea Maddalena, Giannangelo Boccuzzi

“…This scoping review maps the application of ML in post-diploma guidance by examining the types of models used, data sources, reported outcomes, and ethical considerations related to fairness, privacy, and transparency. …”
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Feasibility and acceptability of a contextualized brief psychological intervention for people with bipolar disorder in rural Ethiopia by Mekdes Demissie, Charlotte Hanlon, Lauren C. Ng, Rosie Mayston, Abebaw Fekadu

“…We conducted a mixed-method evaluation, including in-depth qualitative interviews, fidelity ratings of a random selection of 25% of the audio recorded intervention sessions, and self-reported change in symptom severity. We used thematic analysis for qualitative data and descriptive analysis for quantitative data. …”
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