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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Effectiveness and safety of acupuncture therapy for inflammatory bowel disease: a protocol of systematic review and meta-analysis by Fan-rong Liang, Ning Sun, Rui-Rui Sun, Yuan-Fang Zhou, Shi-Rui Cheng, Xiao-Dong Deng, Xiang-Yin Ye, Zheng-Jie Li, Gui-Xing Xu, Yu-Zhu Qu, Liu-Yang Huang

“…The primary outcome was symptoms alleviation after acupuncture treatment or even in the follow-up.Ethics and dissemination Ethical approval will not be needed because data of this review are not involved in patient’s information and privacy. …”
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Developing a Behavioral Phenotyping Layer for Artificial Intelligence–Driven Predictive Analytics in a Digital Resiliency Course: Protocol for a Randomized Controlled Trial by Trevor van Mierlo, Rachel Fournier, Siu Kit Yeung, Sofiia Lahutina

“…Ethical safeguards include institutional review board approval, informed consent, and strict data privacy standards. ResultsThis protocol was designed in January 2025. α and β testing of the intervention are scheduled to begin in July 2025, with a soft launch anticipated in August 2025. …”
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Study protocol for a Prospective Observational study of Safety Threats and Adverse events in Trauma (PrO-STAT): a pilot study at a level-1 trauma centre in Canada by Melissa McGowan, Charles Keown-Stoneman, Brodie Nolan, Teodor Grantcharov, Eliane M Shore, Anisa Nazir

“…Measures will be implemented to ensure data confidentiality, anonymity and respect for participants’ autonomy and privacy. …”
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Smart Safety Helmets with Integrated Vision Systems for Industrial Infrastructure Inspection: A Comprehensive Review of VSLAM-Enabled Technologies by Emmanuel A. Merchán-Cruz, Samuel Moveh, Oleksandr Pasha, Reinis Tocelovskis, Alexander Grakovski, Alexander Krainyukov, Nikita Ostrovenecs, Ivans Gercevs, Vladimirs Petrovs

“…This paper compiles numerous industrial use cases, from bridges and tunnels to plants and power facilities, demonstrating significant improvements in inspection efficiency, data quality, and worker safety. …”
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Providing a customer satisfaction model of non-attendance services in the social security organization by Hossein Barzgar, Vahid Sanavi Garoosiyan, ali hossein zadeh

“…The variable of customer satisfaction with non-attendance services includes 4 dimensions of infrastructures, culture building, reforming structures, and creativity and innovation.Research findingsSPSS software was used to analyze the data of this research, and Lisrel software was used to fit the conceptual model of the research. …”
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An investigation into the acceptance of intelligent care systems: an extended technology acceptance model (TAM) by Zhe Wang, Yuhui Wang, Yu Zeng, Jiayu Su, Zhirong Li

“…Moreover, higher privacy security requirements correlate with lower perceptions of the system’s usefulness. …”
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Factors Associated with Caregiver Burden in Families of Patients with Palliative and Chronic Illness: A Cross-Sectional Study by Haroen H, Juniarti N, Sari CWM, Prista Sari S, Arovah NI, Pardosi JF, Wibowo DA

“…Data were analyzed using the Rasch model and bivariate tests.Results: A high burden was reported by 50.7% of caregivers, while 39.4% and 9.9% experienced moderate and low burden, respectively. …”
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Qualitative study exploring reintegration of clinical trial participants with HIV to public health services in Johannesburg, South Africa by Samanta Tresha Lalla-Edward, Kelechi Elizabeth Oladimeji, Sibongiseni Thandazani Nxumalo, Bernice Harris, Lizeka Napoles

“…Because transferring PLHIV back to PHCs post-clinical trials may result in decreased access to specialised care or resources that were available during the trial, this study explored insights into challenges faced during reintegration from clinical trial settings into PHCs and antiretroviral therapy (ART) adherence post-clinical trials.Design This cross-sectional study was conducted using a qualitative research approach. Participants were recruited using purposive sampling.Setting The study was conducted at the Ezintsha Research Centre in Johannesburg, South Africa, between November 2022 and February 2023.Participants The study population consisted of PLHIV who had participated in two clinical trials (DORA and ADVANCE) at the Ezintsha Research Centre in Johannesburg, South Africa.Methods Using a semistructured guide, 12 in-depth interviews were conducted with PLHIV until data saturation was reached. …”
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Cross-Domain Feature Enhancement-Based Password Guessing Method for Small Samples by Cheng Liu, Junrong Li, Xiheng Liu, Bo Li, Mengsu Hou, Wei Yu, Yujun Li, Wenjun Liu

“…As a crucial component of account protection system evaluation and intrusion detection, the advancement of password guessing technology encounters challenges due to its reliance on password data. In password guessing research, there is a conflict between the traditional models’ need for large training samples and the limitations on accessing password data imposed by privacy protection regulations. …”
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Testing and Iterative Improvement of the CEN ISO/TS 82304-2 Health App Quality Assessment: Pilot Interrater Reliability Study by Anna-Lena Frey, Diana Matei, Ben Phillips, Adam McCabe, Rachel Fuller, Begoña Laibarra, Laura Alonso, Victor de la Hoz, Carme Pratdepadua Bufill, Berta Llebot Casajuana, Giuseppe D'Avenio, Pier Angelo Sottile, Laura Melania Rocchi, Matteo Errera, Yasmine Laaissaoui, Michael Cardinal, Menno Kok, Petra Hoogendoorn

“… BackgroundWith the increasing use of health apps and ongoing concerns regarding their safety, effectiveness, and data privacy, numerous health app quality assessment frameworks have emerged. …”
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Experiences Receiving and Delivering Virtual Health Care For Women: Qualitative Evidence Synthesis by Karen M Goldstein, Sharron Rushton, Allison A Lewinski, Abigail Shapiro, Tiera Lanford-Davey, Jessica N Coleman, Neetu Chawla, Dhara B Patel, Katherine Van Loon, Megan Shepherd-Banigan, Catherine Sims, Sarah Cantrell, Susan Alton Dailey, Jennifer M Gierisch

“…Data reduction was performed using inductive and deductive reasoning. …”
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Navigating digital frontiers in UAE healthcare: A qualitative exploration of healthcare professionals' and patients' experiences with AI and telemedicine. by Azza Alkaabi, Deena Elsori

“…The results highlight the need to address such limitations, adequately train healthcare professionals, and enhance data privacy. The study also lays a foundation for further research into contextual challenges hindering the effective adoption and implementation of AI and telemedicine in different healthcare settings in order to develop a generic, context-specific framework that will guide the adoption of such emerging technologies in the global healthcare industry.…”
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Global Education Development Plan to Build Sustainable Education Based on Artificial Intelligence by Siti Marisa, Gunawan Gunawan, Evi Susilawati

“…Ethical aspects, student data privacy, and fairness in access and use of AI technology should be key concerns in designing sustainable global education development. …”
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Collection and sharing of health information in mental health and related systems in Australia: perspectives of people who access mental health services by Anne Honey, Nicola Hancock, Helen Glover, Justin Newton Scanlan, Yidan Cao, Andrew Povolny, Mark Orr, Grenville Rose, Sumathi Govindasamy, Lorraine Smith, Naseem Ahmadapour

“…Focused group activities were conducted in which participants were asked to discuss and create a visual map to describe their collective experiences of sharing information relating to mental health and recovery. The data were analysed using qualitative content analysis and the coding techniques of constant comparative analysis. …”
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Exploring the application of ChatGPT in ESL/EFL education and related research issues: a systematic review of empirical studies by Chung Kwan Lo, Philip Leung Ho Yu, Simin Xu, Davy Tsz Kit Ng, Morris Siu-yung Jong

“…The included studies collectively provide solid evidence regarding the affordances (e.g., increased learning opportunities, personalised learning, and teacher support) and potential drawbacks (e.g., incorrect information, privacy leakage, and academic dishonesty) of ChatGPT use in ESL/EFL education. …”
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LITERATURE REVIEW ON THE DOUBLE-EDGED SWORD OF AI IN MENTAL HEALTH: A DEEP DIVE INTO CHATGPT'S CAPABILITIES AND LIMITATIONS by Paul Arjanto, Feibry Feronika Wiwenly Senduk

“…Key ethical concerns include data privacy and accountability. Conclusion: The study recommends a balanced approach, suggesting ChatGPT as an adjunct rather than a replacement for conventional mental health services. …”
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Joint Distributed Computation Offloading and Radio Resource Slicing Based on Reinforcement Learning in Vehicular Networks by Khaled A. Alaghbari, Heng-Siong Lim, Charilaos C. Zarakovitis, N. M. Abdul Latiff, Sharifah Hafizah Syed Ariffin, Su Fong Chien

“…Computation offloading in Internet of Vehicles (IoV) networks is a promising technology for transferring computation-intensive and latency-sensitive tasks to mobile-edge computing (MEC) or cloud servers. Privacy is an important concern in vehicular networks, as centralized system can compromise it by sharing raw data from MEC servers with cloud servers. …”
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Electronic health record in military healthcare systems: A systematic review. by Amir Torab-Miandoab, Mahdi Basiri, Arasb Dabbagh-Moghaddam, Leila Gholamhosseini

“…<h4>Introduction</h4>The immediate access to detailed patient data is vital for effective medical care in military and emergency scenarios, enhancing diagnosis, treatment, and monitoring of military personnel. …”
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Knowledge, Attitude, and Practice of Breast-Self Examination Among Female Students of Niger Delta University by Deborah Oboli, Oluchi Mkpae, Monica Anurika Gbuchie, Tonte Gbuchie

“…A sample of 376 female undergraduates, aged 18-30 years, was selected using multistage sampling. Data was collected through semi-structured, self-administered questionnaires. …”
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