Acceptability of Guided Symptom Entry and Asynchronous Clinical Communication Software Among Primary Care Staff: Qualitative Study by Riina Raudne, Taavi Tillmann

“…The software was reported to satisfy perceived feature needs for patient verification, privacy and data security, editable plain-language symptom summaries of symptoms, and integration with prewritten response templates (particularly for staff who were nonnative speakers). …”
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Sustainable Innovation: Harnessing AI and Living Intelligence to Transform Higher Education by Hesham Mohamed Allam, Benjamin Gyamfi, Ban AlOmar

“…However, while AI has the potential to improve education significantly, it also introduces challenges, such as ethical concerns, data privacy risks, and algorithmic bias. The real challenge is not just about embracing AI’s benefits but ensuring it is used responsibly, fairly, and in a way that aligns with educational values. …”
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Lung-AttNet: An Attention Mechanism-Based CNN Architecture for Lung Cancer Detection With Federated Learning by Chamak Saha, Somak Saha, Md. Asadur Rahman, Md. Mahmudul Haque Milu, Hiroki Higa, Mohd Abdur Rashid, Nasim Ahmed

“…Furthermore, to address medical data sensitivity and privacy concerns, the model is deployed in a Federated Learning (FL) framework, where the global model is trained using weights from local models rather than sharing raw data. …”
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Hybrid Transformer-KAN Within Federated Learning Framework: A Novel Machine Learning Approach for Improved Short-Term Weather Forecasting by Shuai Jin, Qiang Li, Sanqiu Liu, Olebogeng Kevin Joel, Xiaohu Ge

“…Furthermore, federated learning is applied to the proposed method to exploit the spatio-temporal dependencies while protecting data privacy. As a result, a novel framework of Federated-Transformer-KAN is proposed to collaboratively forecast weather variables in a distributed manner, without sharing data that is collected by the intelligent sensors equipped at each weather station locally. …”
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Assessment of breastfeeding self-efficacy in nursing mothers following earthquakes: A case study of the Kahramanmaraş earthquakes in Turkey by Sinem Güven Dinmez, Ozen Karaman, Emine Bakir

“…During the study period, all eligible mothers visiting the polyclinic who met the inclusion criteria were evaluated. Data were collected using a "Descriptive Data Form" and the "Breastfeeding Self-Efficacy Short Form Scale." …”
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A cross-sectional study assessing customers’ perception, satisfaction, and attitude toward e-pharmacy services in Saudi Arabia by Ahmed Khaled Bahamdan, Mona Almanasef

“…A self-administered online questionnaire was distributed via social media, and convenience sampling was used to collect data from December 2022 to January 2023. …”
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Dimensions related to telemedicine and telehealth competencies of health professionals: A scoping review by Jacqueline Ibarra-Peso, Marcela Hechenleitner-Carvallo, Carlos Zúñiga-San Martín, Angelica Avendaño-Veloso, Eileen Sepúlveda-Valenzuela

“…Introduction Telehealth and telemedicine have proven to be useful in complementing face-to-face care, especially when long distances exist or when it is difficult to access specialists. …”
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Implementing a chatbot to promote hereditary breast & ovarian cancer genetic screening in women’s health: identifying barriers and facilitators to screening adoption by Easton N. Wollney, Shireen Madani Sims, Luisel J. Ricks-Santi, Elizabeth Eddy, Daniel Wiesman, Carla L. Fisher

“…Findings illustrate how each factor functioned as a facilitator and/or barrier in women’s uptake (e.g., technology being trusted for accuracy versus concerns for data privacy and security). Conclusions While chatbots can extend women’s cancer risk screening access, particularly in rural regions and with college-educated women, systems-level (cost) and individual-level factors (perceived risk, misconceptions about repeating genetic testing) should be addressed to promote adoption. …”
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Large language models aided patient progression documentation according to the ICD standard by Nuria Lebeña, Arantza Casillas, Alicia Pérez

“…In previous works, this task has been carried out using structured data, such as, ICD-coded diagnoses, overlooking unstructured textual information in EHRs. …”
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Sustainable financial infrastructure and governance: A fuzzy multi-criteria decision-making analysis of open service innovation in unstable economies by Homa Molavi, Lihong Zhang, Mohammad Khanbabaei

“…Regulatory sandboxes and innovation clusters can foster collaboration between banks, fintech companies, and regulators, enhancing trust and compliance. Strict data governance frameworks aligned with global standards are essential to balancing innovation with privacy.…”
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Factors Influencing the Implementation and Adoption of Digital Nursing Technologies: Systematic Umbrella Review by Stefan Walzer, Christoph Armbruster, Sonja Mahler, Erik Farin-Glattacker, Christophe Kunze

“…MethodsWe used an umbrella review methodology to synthesize the evidence on DNTs and the complexities of their implementation. …”
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A hybrid explainable federated-based vision transformer framework for breast cancer prediction via risk factors by Aymen M. Al-Hejri, Archana Harsing Sable, Riyadh M. Al-Tam, Mugahed A. Al-antari, Sultan S. Alshamrani, Kaled M. Alshmrany, Wedad Alatebi

“…These models are assessed on binary, multi-class, and Breast Imaging Reporting and Data System (BI-RADS) classification tasks using a unique dataset encompassing real-world risk factors. …”
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The Human Voice as a Digital Health Solution Leveraging Artificial Intelligence by Pratyusha Muddaloor, Bhavana Baraskar, Hriday Shah, Keerthy Gopalakrishnan, Divyanshi Sood, Prem C. Pasupuleti, Akshay Singh, Dipankar Mitra, Sumedh S. Hoskote, Vivek N. Iyer, Scott A. Helgeson, Shivaram P. Arunachalam

“…The primary ethical challenge when incorporating voice as a diagnostic tool is that of privacy and security. To eliminate this, encryption methods exist to convert patient-identifiable vocal data into a more secure, private nature. …”
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HIV pre-exposure prophylaxis in Latin America: Public policies, healthcare systems and human rights by Herta de Oliveira Alexandre, Sofia Gruskin, Adriano Massuda, Maria Rita Bertolozzi, Aluisio Cotrim Segurado

“…Achieving universal healthcare and adhering to human rights norms can improve access/use of this essential HIV prevention tool.…”
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Foreground-Driven Contrastive Learning for Unsupervised Human Keypoint Detection by Shuxian Li, Hui Luo, Zhengwei Miao, Zhixing Wang, Qiliang Bao, Jianlin Zhang

“…Recently, unsupervised human keypoint detection has become prevalent due to concerns about data privacy. Most existing methods are based on a reconstruction process that extracts appearance and pose information from transformed image pairs and spatially aligns them to obtain a reconstructed image for detection. …”
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B5G Applications and Emerging Services in Smart IoT Environments by Hani Attar, Mohammed Alghanim, Jafar Ababneh, Khosro Rezaee, Ayat Alrosan, Mohanad A. Deif

“…Lastly, the proposed study focuses on essential technology based software services, such as healthcare, smart grid, tourism, and agricultural services. These services use the advantages of B5G communication networks and cloud computing. …”
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Smart cities and electrical and electronic waste management: a review of challenges and opportunities by Deividson Sá Fernandes de Souza, Simone Sehnem, Patricia Guarnieri, Thyago Celso Cavalcante Nepomuceno, Fernando Henrique Taques, Lucio Camara e Silva

“…Design/methodology/approach – A systematic literature review was conducted using the Methodi Ordinatio. Articles published between 2012 and 2022 were analyzed, totaling 149 references, of which 30 were included in the final review. …”
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Differentiating atypical parkinsonian syndromes with hyperbolic few-shot contrastive learning by Won June Choi, Jin HwangBo, Quan Anh Duong, Jae-Hyeok Lee, Jin Kyu Gahm

“…However, the models typically require extensively labeled training datasets, which are costly and pose patient privacy risks. To address the issue of limited training datasets, we propose a novel few-shot learning framework for classifying multiple system atrophy parkinsonian (MSA-P) and progressive supranuclear palsy (PSP) within the APS category using fewer data items. …”
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Vision-Based Activity Recognition for Unobtrusive Monitoring of the Elderly in Care Settings by Rahmat Ullah, Ikram Asghar, Saeed Akbar, Gareth Evans, Justus Vermaak, Abdulaziz Alblwi, Amna Bamaqa

“…The system integrates a frame differencing algorithm with adjustable sensitivity parameters and an anomaly detection model tailored to identify deviations from individual behavior patterns without relying on large volumes of labeled data. The system was validated through real-world deployments across multiple care home rooms, demonstrating significant improvements in emergency response times and ensuring resident privacy through anonymized frame differencing views. …”
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A Multi-Criteria Decision-Making Framework for Blockchain Technology Adoption in Smart Healthcare by Deepika Gaur, Shivani Bali, Angappa Gunasekaran, Nitish Joshi, Kuldeep Chaudhary, Vikram Bali

“…Among the three blockchain platforms evaluated, the results indicate that permissioned blockchain technology is the most suitable for the healthcare sector, primarily due to its strengths in regulatory compliance, data privacy, and system integration. The study’s findings would help practitioners identify and choose the best blockchain platform, thus contributing to a transition in the healthcare industry called “Smart Healthcare 5.0”.…”
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