Unveiling practical insights of eHealth implementation in Europe: a grey literature review on legal, ethical, financial, and technological (LEFT) considerations by B. E. Bente, N. Beerlage-de Jong, R. M. Verdaasdonk, J. E. W. C. van Gemert-Pijnen

“…Legal barriers include navigating complex regulatory frameworks, interpreting regulations, and concerns about data privacy. Facilitators focus on centralized governance and Europe's role in the global data market. …”
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What is the Role of Medical Informatics in Digital Healthcare? by Mihai TĂRÂŢĂ

“…. • Cybersecurity & Privacy in Healthcare – Implementing robust security solutions (e.g., encryption, blockchain) to safeguard sensitive patient data and ensure compliance with regulations like HIPAA (USA), GDPR (EU), and local healthcare laws…”
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Low Saturation Confidence Distribution-based Test-Time Adaptation for cross-domain remote sensing image classification by Yu Liang, Shilei Cao, Juepeng Zheng, Xiucheng Zhang, Jianxi Huang, Haohuan Fu

“…However, most UDA approaches require access to source data, which may be infeasible due to data privacy or transmission constraints. …”
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BESPOKE study protocol: a multicentre, prospective observational study to evaluate the impact of circulating tumour DNA guided therapy on patients with colorectal cancer by Scott Kopetz, Axel Grothey, Shifra Krinshpun, Meenakshi Malhotra, Paul Billings, Angel Rodriguez, Alexey Aleshin, Sarah Sawyer, Michelle Munro, Pashtoon Murtaza Kasi, Jessica Guilford, Sascha Ellers, Jacob Wulff, Nicole Hook, Allyson Koyen Malashevich, Solomon Moshkevich

“…The secondary endpoints are MRD clearance rate (MRD+ to MRD−) during or after adjuvant chemotherapy, percentage of patients that undergo surgery for oligometastatic recurrence, survival of MRD-negative patients treated with adjuvant chemotherapy versus no adjuvant chemotherapy (active surveillance), overall survival, examine the number of stage I CRC that have recurrent disease detected postsurgery, and patient-reported outcomes.Ethics and dissemination This study has received ethical approval from the Advarra Institutional Review Board (IRB) protocol: Natera—20-041-NCP/3766.01, BESPOKE Study of ctDNA Guided Therapy in Colorectal Cancer (BESPOKE CRC) (Pro00041473) on 10 June 2021. Data protection and privacy regulations will be strictly observed in the capturing, forwarding, processing and storing of patients’ data. …”
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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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HealthPass: a contactless check-in and adaptive access control system for lowering cluster infection risk in public health crisis by Guofeng Luo, Yufei Wang, Linghong Hong, Xin He, Jiaru Wang, Qu Shen, Cheng Wang, Longbiao Chen

“…IntroductionEnsuring effective measures against the spread of the virus is paramount for educational institutions and workplaces as they resume operations amidst the ongoing public health crisis. A touchless and privacy-conscious check-in procedure for visitor assessment is critical to safeguarding venues against potential virus transmission.MethodsIn our study, we developed an interaction-free entry system featuring anonymous visitors who voluntarily provide data. …”
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Exploring the role of digital technology for feedback exchange in clinical training: a scoping review by Veena S. Singaram, Rayishnee Pillay, Esther L. Mbobnda Kapche

“…The incorporation of virtual reality and artificial intelligence presents promising opportunities for personalized, real-time feedback, but requires vigilant governance to ensure data integrity and privacy. Scoping review protocol https://doi.org/10.1186/s13643-022-02151-8…”
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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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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

“…Key challenges include information security, privacy, interoperability, costs and sustainability. …”
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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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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

“…Furthermore, the proposed study examines the techniques employed for data transmission in B5G applications, such as Vehicle-to-Vehicle (V2V), Device-to-Device (D2D), and Machine to Machine (M2M) transmissions. …”
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