Innovations and Technological Advances in Healthcare Remote Monitoring Systems for the Elderly and Vulnerable People: A Scoping Review by Diana Lizet González-Baldovinos, Luis Pastor Sánchez-Fernández, Jose Luis Cano-Rosas, Asdrúbal López-Chau, Pedro Guevara-López

“…To develop robust systems that provide equitable and high-quality healthcare, it is essential to address critical challenges such as data privacy, security, accessibility, and ethical considerations.…”
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Accessible viral metagenomics for public health and clinical domains with Jovian by Dennis Schmitz, Florian Zwagemaker, Sam Nooij, Thierry K. S. Janssens, Jeroen Cremer, Robert Verhagen, Harry Vennema, Annelies Kroneman, Marion P. G. Koopmans, Jeroen F. J. Laros, Miranda de Graaf

“…Abstract The integration of next-generation sequencing into clinical diagnostics and surveillance initiatives is impeded by the lack of data analysis pipelines that align with privacy legislation and laboratory certification protocols. …”
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Ethical and Legal Challenges of Implementing AI in Science and Math Education in Central Asia by Dilfuza M.Makhmudova, Xilola R. Sharipova, Nosirjon K. Hojiyev, Azamat E.Ergashev, Yulduzknon Kh.Satvaldieva, Khosiyat U.Mamatkulova, Egambergan M. Khudoynazarov

“…Additionally, 64% of respondents expressed serious concerns about student data privacy, while 71% supported the need for formal AI ethics training. …”
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Investigating the impact of publicly announced information security breaches on corporate risk factor disclosure tendencies by Sandra J. Cereola, Joanna Dynowska

“…We pay particular attention to organizations that have suffered a data breach, as determined by the Privacy Rights Clearinghouse (PRC). …”
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IP SafeGuard–An AI-Driven Malicious IP Detection Framework by Abdullah Al Siam, Moutaz Alazab, Albara Awajan, Md Rakibul Hasan, Areej Obeidat, Nuruzzaman Faruqui

“…The framework collects data from AbuseIPDB, VirusTotal, and other sources to compute a Dynamic Threat Score (DTS) for each IP address. …”
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Critical Smart Functions for Smart Living Based on User Perspectives by Benjamin Botchway, Frank Ato Ghansah, David John Edwards, Ebenezer Kumi-Amoah, Joshua Amo-Larbi

“…Twenty-six critical smart functions for smart living were revealed, with the top three including the ability to protect personal data and information privacy, provide real-time safety and security, and the ability to be responsive to users’ needs. …”
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The Emergence of AI-Driven Virtual Hospitals: Redefining Patient Care Beyond Physical Boundaries by Ifrah Hameed, Hafiz Muhammad Haseeb Khaliq

“…Despite these apparent benefits, the implementation of AI-based virtual hospitals faces challenges in terms of security such as data privacy, cybersecurity risks, and business risks due to overfitting and underfitting models. …”
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Creating a Usable and Effective Digital Intervention to Support Men to Test for HIV and Link to Care in A Resource-Constrained Setting: Iterative Design Based on A Person-Based App... by Anya Zeitlin, Thulile Mathenjwa, Thembelihle Zuma, Sally Wyke, Philippa Matthews, Nuala McGrath, Janet Seeley, Maryam Shahmanesh, Ann Blandford

“…The PBA enabled us to establish both empirical data and theory to design the content of EPIC-HIV1, but it did not directly inform interaction design to make the app usable and effective for the intended users; HCI techniques tailored to the setting enabled us to refine the app to be easy for men with little familiarity with digital technologies to use within the constraints of the setting. …”
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“People have options”: a qualitative study of experiences and influences of PrEP choice among women in South Africa by Siphokazi Dada, Faith Mary Musvipwa, Fatima Abegail Cholo, Melanie Pleaner, Alison Kutywayo, Vusile Butler, Catherine Elizabeth Martin, Saiqa Mullick

“…Participants valued learning about alternative PrEP methods and appreciated friendly healthcare providers who answered their questions. Privacy and emotional support were also crucial. However, negative experiences included the use of complex scientific jargon and insufficient information on PrEP's potential drawbacks. …”
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Barriers and facilitators for implementation of electronic consultations (eConsult) to enhance access to specialist care: a scoping review by Robin Featherstone, Clare Liddy, Erin Keely, Braden Manns, Aminu K Bello, Julia Kurzawa, Mohamed A Osman, Syed Habib, Soroush Shojai, Kara Schick-Makaroff, Stephanie Thompson, Liza Bialy, Deenaz Zaidi, Ikechi Okpechi, Kailash Jindal, Branko Braam, Marcello Tonelli, Brenda Hemmelgarn, Scott Klarenbach

“…We extracted data on study characteristics and key barriers and facilitators were analysed thematically and classified using the Quadruple Aim framework taxonomy. …”
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Choosing the Best Digital Health Literacy Measure for Research: Mixed Methods Study by Charlotte Brun Thorup, Mika Uitto, Kerryn Butler-Henderson, Sarah Wamala-Andersson, Merja Hoffrén-Mikkola, Diana Schack Thoft, Lisa Korsbakke Emtekær Hæsum, Gabriela Irrazabal, Laura Pruneda González, Katja Valkama

“…Ethical considerations in dHL, including privacy and data security, are important due to potential feelings of shame among those with low literacy levels.…”
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Mental Health Professionals’ Views on Artificial Intelligence as an Aide for Children Anticipating or Suffering the Loss of a Parent to Cancer: Helpful or Harmful? by Mary Rose Yockel, Marcelo M. Sleiman, Heather Doherty, Rachel Adams, Kimberly M. Davis, Hunter Groninger, Christina Sharkey, Matthew G. Biel, Muriel R. Statman, Kenneth P. Tercyak

“…<b>Purpose</b>: Assess mental health professionals’ attitudes regarding the timing and characteristics of therapeutic interventions for children whose parents have incurable cancer, and whether professionals would use artificial intelligence (AI) in these interventions. …”
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Exploring Older Adults’ Perspectives and Acceptance of AI-Driven Health Technologies: Qualitative Study by Arkers Kwan Ching Wong, Jessica Hiu Toon Lee, Yue Zhao, Qi Lu, Shulan Yang, Vivian Chi Ching Hui

“…This study aimed to investigate perspectives on and acceptability of the use of AI-led health technologies among older adults and the potential challenges that they face in adopting them. …”
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Attitudes, Perceptions, and Factors Influencing the Adoption of AI in Health Care Among Medical Staff: Nationwide Cross-Sectional Survey Study by Qianqian Dai, Ming Li, Maoshu Yang, Shiwu Shi, Zhaoyu Wang, Jiaojiao Liao, Zhaoji Li, Weinan E, Liyuan Tao, Yi-Da Tang

“… BackgroundArtificial intelligence (AI) has demonstrated transformative potential in the health care field; yet, its clinical adoption faces challenges such as inaccuracy, bias, and data privacy concerns. As the primary operators of AI systems, physicians and nurses play a pivotal role in integrating AI into clinical workflows. …”
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The Application of Digital Intelligence Technology in the Management of Non-Hospitalized Patients with Rare Diseases by YAO Yiyang, GAO Yi, GUO Yixuan, QIN Zhuoyue, ZHANG Yaofang, JING Jiaqi, XIE Jing, GUO Jian, ZHANG Shuyang

“…Methods We designed the search strategy and used the words " rare diseases"" patient management"" non-hospitalized management"" community management"" digital intelligence"" big data"" telemedicine" as MESH terms or free words. …”
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AI in Medical Questionnaires: Innovations, Diagnosis, and Implications by Xuexing Luo, Yiyuan Li, Jing Xu, Zhong Zheng, Fangtian Ying, Guanghui Huang

“…Future research should pay more attention to model interpretability, system compatibility, validation standardization, and ethical governance to effectively address key challenges such as data privacy, clinical integration, and transparency.…”
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Opportunities, challenges, and requirements for Artificial Intelligence (AI) implementation in Primary Health Care (PHC): a systematic review by Farzaneh Yousefi, Reza Dehnavieh, Maude Laberge, Marie-Pierre Gagnon, Mohammad Mehdi Ghaemi, Mohsen Nadali, Najmeh Azizi

“…However, the most challenges emerged within the stewardship and resource generation functions, with key concerns related to data security and privacy, technical performance issues, and limitations in data accessibility. …”
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Effect of transcranial magnetic stimulation on perioperative neurocognitive dysfunction: study protocol for a systematic review and meta-analysis of randomised controlled trials by Ying Yang, Yongming Tian, Yulan Luo, Jiarong Zeng

“…Meta-analysis will be conducted using STATA V.15.1 statistical software. The data synthesis process will incorporate standardised methodologies, including heterogeneity testing, sensitivity analysis and assessment of publication bias.Ethics and dissemination This study will not involve the collection of biometric information or medical privacy data throughout the research process, thus complying with the exemption criteria outlined in the ‘Measures for Ethical Review of Biomedical Research Involving Human Subjects.’ …”
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Bioethics training needs assessment for HIV research in vulnerable populations: a survey of trainees at college of health sciences, Makerere university by Josephine Nayiga, Stephen Okoboi, Grace Banturaki, Pauline Byakika-Kibwika, Barbara Castelnuovo

“…Descriptive data analysis was performed using STATA Version 17. …”
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Perceptions of academic staff and students of senior high school in implementing game-based exercises in physical education classes—a research protocol for a qualitative descriptiv... by Donald Manlapaz, Jose Avelino Vergara, Keisha Marie Bea Alpuerto, Iszaac Khalil Señora De Los Santos, Michaela Urian Enriquez, Zamantha Zamora Manicio, Joshua Emmanuel Ferrera Mendres, Casey Gwyn Salvaleon Tolosa, Zachary Gabriel Dee Vilela, Zeraia Ezra Gabriel Alonzo Zabat

“…Once done, they will undergo FGDs conducted through Google Meet. Data will be coded and analysed via thematic analysis using manual coding and NVivo V.12 software to summarise central themes and perceptions.Ethics and dissemination This study will abide by the Nuremberg Code, Declaration of Helsinki, Belmont Report, Data Privacy Act of 2012 and National Ethical Guidelines (for health-related research) of 2017. …”
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