Development of a remote therapeutic monitoring platform: applications for movement disorders by Sreetharan Thankathuraipandian, Walter Greenleaf, Anahita Kyani, Tucker Tomlinson, Binesh Balasingh, Erika Ross, Yagna Pathak

“…Through an investigational remote monitoring application (RM app) integrating patient-reported outcomes (PROs) and objective data using wearables, we aimed to develop an accessible, data-driven digital tool to monitor patient symptoms and deliver low-burden and easy-to-access DBS therapy. …”
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Ethical Challenges of Applying Advanced Technologies in Medical Education: A Scoping Review by Shayan Khaje Hosaini, Mahdi Khayatan, Hossein Sadeghi, Feze Ebrahimi

“…The results showed that the most important common ethical challenges in modern technologies such as artificial intelligence, simulators, big data, information technology, and digital social media included privacy protection, bias, and lack of accountability. …”
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Adaptive Learning Algorithms for Low Dose Optimization in Coronary Arteries Angiography: A Comprehensive Review by Komal Tariq, Muhammad Adnan Munir, Hafiza Tooba Aftab, Amir Naveed, Ayesha Yousaf, Sajjad Ul Hassan

“…Results: The extracted data shows a comprehensive data on various techniques that are used for low dose CAA, advancements in image segmentation, noise reduction, and operator dose reduction highlight the potential of machine learning techniques. …”
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Lessons from Henrietta Lacks inform a transparency framework to catalyze generative artificial intelligence in medicine by Tej D. Azad, Anmol Warman, Deven McGraw, Suchi Saria

“…The integration of generative artificial intelligence (AI) tools into healthcare poses significant challenges concerning data privacy and governance. Drawing on the historical vignette of Henrietta Lacks, this perspective examines the implications of using generative AI in clinical settings. …”
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The moderating role of personalized recommendations in the trust–satisfaction–loyalty relationship: an empirical study of AI-driven e-commerce by Noha Hassan, Mohamed Abdelraouf, Dina El-Shihy

“…Design/methodology/approach A quantitative research approach was used to collect data from a diverse group of e-commerce users who had interacted with AI-based recommendation systems. …”
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IoT-enabled real-time health monitoring system for adolescent physical rehabilitation by Jie Yang, Juanjuan Hu, Wenrui Chen

“…To evaluate the system’s performance, experiments were conducted to assess motion pattern recognition accuracy, response time, real-time analysis capabilities, and system stability and capacity. The methods we use and the data we collect are from public datasets, do not involve privacy protection for adolescents, and have been approved by the institutional ethics committee. …”
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Navigating the digital transformation: industry 4.0's role in modern healthcare by Phonchai Thongwichian

“…Key findings include the prevalent use of data analytics and AI in enhancing patient care and operational efficiencies, and the emerging challenges related to data privacy and ethical considerations. …”
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Development of Energy Demand Profile Based on Non-Historical and Non-Energy Variables: A Headquarters’ Offices Case Study by Juliana Cruz, Isabel Lasierra, Yassine Rqiq, Víctor Ballestín

“…Under the Positive Energy Districts framework, cities authorities must be informed of the energy demand of districts to design tailor-made policies and strategies to promote the deployment of energy efficiency, sharing and transition actions. However, the diverse data sources and long procedures to collect data because of privacy permissions may result in a slow-down of the development of these roadmaps. …”
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Human-Centered Design of an mHealth Tool for Optimizing HIV Index Testing in Wartime Ukraine: Formative Research Case Study by Nancy Puttkammer, Elizabeth Dunbar, Myroslava Germanovych, Mariia Rosol, Matthew Golden, Anna Hubashova, Vladyslav Fedorchenko, Larisa Hetman, Liudmyla Legkostup, Jan Flowers, Olena Nesterova

“…CASI-Plus provides client-facing information on APS methods and uses a standardized, self-guided questionnaire with nonjudgmental language for clients to list partners who would benefit from HIV testing. …”
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Acceptability of an online peer support group as a strategy to improve antiretroviral therapy adherence among young people in Kampala district, Uganda: qualitative findings by Yerusa Kiirya, Sabrina Kitaka, Joan Kalyango, Joseph Rujumba, Gloria Adobea Odei Obeng-Amoako, Mathew Amollo, Joan Nangendo, Charles Karamagi, Philipa Musooke, Anne Katahoire

“…In implementing online support groups, due consideration should be given to software tools with high privacy standards and zero-rated data use for new apps. …”
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Artificial intelligence enabled smart mask for speech recognition for future hearing devices by Hira Hameed, Lubna, Muhammad Usman, Jalil Ur Rehman Kazim, Khaled Assaleh, Kamran Arshad, Amir Hussain, Muhammad Imran, Qammer H. Abbasi

“…A smart RFID face mask is used to collect a dataset containing three different classes of vowels (A, E, I, O, U), Consonants (F, G, M, S), and words (Fish, Goat, Meal, Moon, Snake). …”
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Systematic Review of Usability Factors, Models, and Frameworks with Blockchain Integration for Secure Mobile Health (mHealth) Applications by Irum Feroz, Nadeem Ahmad

“…Findings from RQ2 highlighted gaps in usability models, such as the lack of age-specific guidance for multimodal interaction, error recovery, and data privacy. These results underscore the need to define a new usability framework and incorporate blockchain to meet the unique needs of older adults in mHealth applications, supporting both secure and accessible healthcare management.…”
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Clinician and patient perceptions around implementing remote blood pressure monitoring for hypertensive disorders of pregnancy: A survey-based study by Theepika Rajkumar, Sharon Hu, Annemarie Hennessy, Angela Makris

“…Conclusion Though socioeconomic status, ethnicity and language influenced perceptions towards RBPM; overall, Australian pregnant women and clinicians are broadly receptive to its use in antenatal care. Successful implementation of RPBM requires careful evaluation of design and workflow to accommodate for patient diversity, ease of use, compliance, privacy and clinical utility to optimise the user experience.…”
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MedBlockSure: Blockchain‐based insurance system by Charu Krishna, Divya Kumar, Dharmender Singh Kushwaha

“…The conceptual view of the proposed system using sequence and use case diagrams and data management framework and smart claim processing system is demonstrated.…”
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When AI Joins the scope: Canadian endoscopists’ perceptions of NodeAI versus conventional methods for identifying lymph node malignancies in EBUS imaging. by Ria Datta

“…The baseline and endline surveys measured shifts in opinions regarding NodeAI's usability in diagnostic accuracy, procedure time, and ease of use. Qualitative insights were gathered through open-ended questions during the focus group to explore clinicians' views on AI's potential role, while quantitative data was captured using scales/ratings. …”
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Evaluation and performance comparison of a model for adoption of biometrics in online banking by Norah AlJanahi, Mostafa Abd-El-Barr, Kalim Qureshi

“…A total of 500 invitations were sent and 302 valid responses were received. The data was analysed using SPSS software tool, version 22. …”
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Heterogeneity in willingness to share personal health information: a nationwide cluster analysis of 20,000 adults in Japan by Miho Sassa, Akifumi Eguchi, Keiko Maruyama-Sakurai, Takanori Fujita, Yumi Kawamura, Takayuki Kawashima, Yuta Tanoue, Daisuke Yoneoka, Hiroaki Miyata, Takanori Yamashita, Naoki Nakashima, Shuhei Nomura

“…The survey examined willingness to share personal health information with nine types of recipients (healthcare providers, ambulance crew, application providers, family members, local authorities, employers, pharmaceutical companies, government agencies, and research institutions), trust levels in these recipients, and 17 factors influencing sharing decisions across health benefits, convenience, economic incentives, social significance, information details, transparency, and privacy considerations. Clustering analysis using Uniform Manifold Approximation and Projection (UMAP) and Ordering Points to Identify the Clustering Structure (OPTICS) algorithms was performed to identify distinct patterns in sharing preferences. …”
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Interaction of Customer Satisfaction and Digital Service Retention: Evidence of PLS from Indonesian Islamic Banking by Muhammad Alfarizi

“…This study uncovered the effect of ease of use, efficiency, interoperability, privacy security, responsiveness, reliability, service cost, and service portfolio on ISBC customer satisfaction. …”
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Algerian Efl Students’ Perspectives And Practices On Ai-enabled Learning At The University Of Medea by Oussama Boukhelkhal

“…However, students identified several drawbacks, namely excessive reliance on AI, negative impact on their critical thinking, and the problem of unreliable AI-generated data. They also faced some challenges, such as limited access to advanced AI tools, privacy and security issues, and a lack of guidance on how to use AI thoughtfully and responsibly. …”
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Who owns Internet of Thing devices? by Yuxuan Jia, Bing Han, Qiang Li, Hong Li, Limin Sun

“…We propose to automatically extract owner annotation by utilizing a set of techniques (network scanning, machine learning, and natural language processing). We use the probing and classifier to determine whether the response data come from an IoT device. …”
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