Examining Healthcare Practitioners’ Perceptions of Virtual Physicians, mHealth Applications, and Barriers to Adoption: Insights for Improving Patient Care and Digital Health... by Alzghaibi H

“…It further aims to provide recommendations for enhancing usability, accessibility, and integration within existing healthcare infrastructures.Methods: A cross-sectional study was conducted among 574 secondary healthcare practitioners (SHCPs), including physicians, nurses, and administrative staff, working in secondary healthcare centres across Saudi Arabia. Data were collected using a structured questionnaire assessing ten primary barriers to mHealth adoption, including technical, usability, training, integration, privacy, organisational, communication, financial, and productivity-related challenges. …”
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It's not just about pads! Adolescent reproductive health views in Kenya: A qualitative secondary analysis. by Sylvia Ayieko, Angela Nguku, Nancy Kidula

“…We conducted a secondary analysis of qualitative data from a sub-sample of adolescent girls in Kenya who participated in the What Women Want global campaign and analyzed interview data from key informants involved in the survey. …”
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Porter Diamond Model and Internationalization of Fintechs by Nahidah Naser

“…However, due to the lack of transparency data gathering, supervisions and regulations of Fintechs, policies, privacy, cybercrimes, the impact of Fintechs on the financial market and economic stability are yet to be thoroughly examined and evaluated. …”
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Interior design assistant algorithm based on indoor scene analysis by Lu Zhang

“…The proposed indoor scene analysis algorithm using color images as privileged information significantly improves the accuracy of indoor scene analysis and reduces reliance on manually annotated data. …”
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SSLA: a semi-supervised framework for real-time injection detection and anomaly monitoring in cloud-based web applications with real-world implementation and evaluation by Seyed Salar Sefati, Bahman Arasteh, Octavian Fratu, Simona Halunga

“…A similarity graph is built from the log data, allowing for effective anomaly detection using graph-based methods. …”
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Enhancing insights in sexually transmitted infection mapping: Syphilis in Forsyth County, North Carolina, a case study. by Lani Fox, William C Miller, Dionne Gesink, Irene Doherty, Marc Serre

“…Results were assessed using latent rate theory cross validation. We show combining a moving window and a UMBME analysis with geomasked data effectively predicted the true or latent syphilis rate 5% to 26% more accurate than the traditional, geopolitical boundary method. …”
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A review of machine learning and deep learning for Parkinson’s disease detection by Hajar Rabie, Moulay A. Akhloufi

“…However, challenges like the need for large and diverse datasets, data privacy concerns, and data quality in healthcare remain. …”
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Multi-key fully homomorphic encryption scheme based on NTRU bootstrapping by ZHENG Junhua, JIANG Hongwei, LIU Rong, LI Yixiu, LI Wen, WENG Jian

“…Finally, the potential application of the scheme in cross-departmental supervision scenarios of multi-industry and multi-source data sales data was explored, which helped the tax department to realize tax verification under the premise of protecting data privacy, and helped promote the digital transformation and healthy development of various industries.…”
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Source-Free Domain Adaptation for Cross-Modality Abdominal Multi-Organ Segmentation Challenges by Xiyu Zhang, Xu Chen, Yang Wang, Dongliang Liu, Yifeng Hong

“…While unsupervised domain adaptation (UDA) has shown promise in addressing these issues by transferring knowledge from a different modality (source domain), its reliance on both source and target data during training presents a practical challenge in many clinical settings due to data privacy concerns. …”
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SensorsConnect Framework: World-Wide Web for Internet of Things by Abdelrahman Elewah, Khalid Elgazzar

“…Unlike humans, IoT devices lack a unified framework like the WWW for collaboration and data sharing. This is primarily due to 1) separate infrastructure often required for IoT security and privacy and 2) challenges of limited connectivity, device heterogeneity, and evolving technology. …”
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Exploring the Frontier: Generative AI Applications in Online Consumer Behavior Analytics by Takuma Kimura

“…Furthermore, the paper discusses the challenges associated with generative AI, emphasizing the need to consider ethical issues, such as bias and data privacy. This comprehensive review contributes to a deeper understanding of generative AI’s role in OCBA, outlining its applications and functionalities from a technical perspective. …”
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Federated learning-based non-intrusive load monitoring adaptive to real-world heterogeneities by Qingquan Luo, Chaofan Lan, Tao Yu, Minhang Liang, Wencong Xiao, Zhenning Pan

“…Recently, federated learning has enabled NILM to learn from decentralized meter data while preserving privacy. However, as real-world heterogeneities in electricity consumption data, local models, and AMI facilities cannot be eliminated in advance, federated learning-based NILM (FL-NILM) may underperform or even fail. …”
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ADF-SL: An Adaptive and Fair Scheme for Smart Learning Task Distribution by Ahmed A. Al-Saedi, Veselka Boeva

“…However, training models within SL is affected by data heterogeneity and sensitivity, and often requires more computational resources than an individual data provider can afford. …”
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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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Predicting Student Dropout Through Text and Media Content Analysis of VKontakte Profiles by Sergei S. Gorshkov, Dmitry I. Ignatov, Anastasia Yu. Chernysheva

“…While this approach depends on publicly available VK data and may be limited by privacy settings, it still provides useful insights. …”
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TwinFedPot: Honeypot Intelligence Distillation into Digital Twin for Persistent Smart Traffic Security by Yesin Sahraoui, Abdessalam Mohammed Hadjkouider, Chaker Abdelaziz Kerrache, Carlos T. Calafate

“…This inversion allows the system to learn generalized attack patterns using only limited data, while preserving privacy and enhancing robustness. …”
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Advanced Applications of Artificial Intelligence in Pharmacovigilance: Current Trends and Future Perspectives by Yogesh S Ahire, Jayesh H Patil, Harshita N Chordiya, Rashmi A Deore, Vinod A Bairagi

“…The ethical and legal implications of patient privacy, data security, and regulatory compliance underscore the necessity of cautious artificial intelligence deployment in order to maintain public trust and protect patient rights. …”
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