Integrating digital health into pediatric obesity management: Current practices and future perspectives by Vittoria Frattolillo, Alessia Massa, Dalila Capone, Noemi Monaco, Gianmario Forcina, Pierluigi Di Filippo, Pierluigi Marzuillo, Emanuele Miraglia del Giudice, Anna Di Sessa

“…Despite these advancements, DHIs still face major challenges, including unequal access, data privacy concerns, and a lack of long-term outcome evaluations. …”
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Exploring Older Adults’ Perspectives and Acceptance of AI-Driven Health Technologies: Qualitative Study by Arkers Kwan Ching Wong, Jessica Hiu Toon Lee, Yue Zhao, Qi Lu, Shulan Yang, Vivian Chi Ching Hui

“…This study aimed to investigate perspectives on and acceptability of the use of AI-led health technologies among older adults and the potential challenges that they face in adopting them. …”
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Mental Health Professionals’ Views on Artificial Intelligence as an Aide for Children Anticipating or Suffering the Loss of a Parent to Cancer: Helpful or Harmful? by Mary Rose Yockel, Marcelo M. Sleiman, Heather Doherty, Rachel Adams, Kimberly M. Davis, Hunter Groninger, Christina Sharkey, Matthew G. Biel, Muriel R. Statman, Kenneth P. Tercyak

“…<b>Purpose</b>: Assess mental health professionals’ attitudes regarding the timing and characteristics of therapeutic interventions for children whose parents have incurable cancer, and whether professionals would use artificial intelligence (AI) in these interventions. …”
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Insights From a User Experience‐Focused Virtual Study on the Feasibility and Challenges of Decentralized Clinical Trials by Yue Ma, Le Li, Gaili Gao, Huan Zhou, Jianmiao Yang, Jiao Zheng, Li Zheng, Lu Zhang, Min Jiang, Pu Li, Wenjing Zhou, Xia Chen, Ying Wang, Weiyi Zheng, Yan Zhang

“…Standard procedures were developed for each DCT element, addressing issues like identity verification and data privacy based on user perspectives. This study provided insights on implementing DCTs in China, identifying areas that need optimization to meet local regulatory and stakeholders' requirements. …”
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Special Issue on Contemporary Research Studies in Operations Research, Business Analytics, and Business Intelligence by Viswanath Kumar Ganesan, S. Vinodh, Malolan Sundararaman, M. Vimala Rani, M. Mathirajan

“…Ethical AI Considerations: Addressing ethical concerns such as data privacy, fairness, and biases in AI systems to ensure responsible use. 6. …”
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Leveraging machine learning in nursing: innovations, challenges, and ethical insights by Sophie So Wan Yip, Sheng Ning, Niki Yan Ki Wong, Jeffrey Chan, Kei Shing Ng, Bernadette Oi Ting Kwok, Robert L. Anders, Simon Ching Lam

“…However, key challenges include ethical considerations, such as data privacy, algorithmic bias, and patient autonomy, which necessitate ongoing research and regulatory oversight.ConclusionsML in nursing offers transformative potential across patient care, education, and operational efficiency, which is balanced by significant challenges and ethical considerations. …”
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Impact of the universal seasonal influenza vaccination policy on seasonal influenza vaccine uptake in Manitoba, Canada: a population-based interrupted time series analysis by Dr George Okoli, Dr Christiaan Righolt, Mr Geng Zhang, Dr Paul Van Caeseele, Dr I fan Kuo, Dr Silvia Alessi-Severini, Dr Salahhedin Mahmud

“…Methods: We conducted an ecological study utilizing anonymized population-wide electronic data from several centralized Manitoba Health (MH) administrative databases linked using a scrambled (encrypted) version of the unique personal health identification number (PHIN) in Manitoba as a key. …”
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Artificial Intelligence-Assisted Clinical Decision-Making: A Perspective on Advancing Personalized Precision Medicine for Elderly Diabetes Patients by Hu J, Ren L, Wang T, Yao P

“…Nonetheless, several challenges persist, including issues related to data standardization, algorithm transparency, and patient privacy protection. …”
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Enhancing Access to Mental Health Services for Antepartum and Postpartum Women Through Telemental Health Services at Wellbeing Centers in Selected Health Facilities in Bangladesh:... by Aniqa Tasnim Hossain, Md Hafizur Rahman, Ridwana Maher Manna, Ema Akter, SM Hasibul Islam, Md Alamgir Hossain, Tasnu Ara, Nasimul Ghani Usmani, Pradip Chandra, Maruf Ahmed Khan, SM Mustafizur Rahman, Helal Uddin Ahmed, Muhammad Kamruzzaman Mozumder, Jesmin Mahmuda Juthi, Fatema Shahrin, Sadia Afrose Shams, Fahmida Afroze, Mukta Jahan Banu, Shafiqul Ameen, Sabrina Jabeen, Anisuddin Ahmed, Mohammad Robed Amin, Shams El Arifeen, Mohammad Sohel Shomik, Ahmed Ehsanur Rahman

“…The Wellbeing Centers’ services were appreciated for their privacy and being free and accessible. However, stigma, postpartum illness, and long waiting times prevented some women from using these services. …”
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Integrative review of artificial intelligence applications in nursing: education, clinical practice, workload management, and professional perceptions by Rabie Adel El Arab, Omayma Abdulaziz Al Moosa, Mette Sagbakken, Ahmed Ghannam, Fuad H. Abuadas, Joel Somerville, Joel Somerville, Abbas Al Mutair, Abbas Al Mutair, Abbas Al Mutair, Abbas Al Mutair, Abbas Al Mutair

“…These efficiencies allowed nursing teams to devote more time to direct patient care and were associated with reductions in burnout and improved workplace morale.Nursing perceptionsAcross practice settings, nursing students and practicing nurses broadly welcomed AI’s ability to streamline workflows and support decision-making, recognizing its potential to elevate patient care and professional practice.Ethical implicationsSimultaneously, nurses voiced significant ethical concerns—chiefly around safeguarding patient data privacy, mitigating algorithmic bias, and preserving the compassionate, human-centered essence of nursing in an increasingly automated environment.Framework and recommendationsThe Nursing AI Integration Roadmap (NAIIR) was developed, emphasizing transformational education, advanced clinical integration, ethical governance, robust organizational infrastructure, participatory design, and rigorous economic evaluation. …”
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Awareness and Perception of Hepatitis C Self-Testing in Nigeria: A National Survey of Stakeholders and the Public by Victor Abiola Adepoju, Donald Chinazor Udah, Chinonye Alioha Ezenwa, Jamiu Ganiyu, Qorinah Estiningtyas Sakilah Adnani

“…<b>Methods:</b> A cross-sectional descriptive study was conducted using an online social media survey administered through SurveyMonkey. …”
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Artificial intelligence in nursing: an integrative review of clinical and operational impacts by Salwa Hassanein, Salwa Hassanein, Rabie Adel El Arab, Rabie Adel El Arab, Amany Abdrbo, Mohammad S. Abu-Mahfouz, Mastoura Khames Farag Gaballah, Mohamed Mahmoud Seweid, Mohamed Mahmoud Seweid, Mohammed Almari, Husam Alzghoul

“…However, despite these benefits, ethical challenges remain prominent. Key concerns include data privacy risks, algorithmic bias, and the potential erosion of clinical judgment due to overreliance on technology. …”
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Staff-reported barriers and facilitators to the implementation of healthcare interventions within regional and rural areas: a rapid review by Anna Chapman, Alison Buccheri, Devdini Mohotti, Anna Wong Shee, Catherine E. Huggins, Laura Alston, Alison M. Hutchinson, Sze Lin Yoong, Hannah Beks, Kevin Mc Namara, Anna Peeters, Anna Ugalde

“…Barrier and facilitator data were coded and grouped into sub-themes and broader themes, with results presented narratively. …”
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Desarrollo y validación de una plataforma híbrida basada en blockchain para la gamificación de hábitos saludables (Development and validation of a hybrid blockchain-based platform... by Juan Lopez-Barreiro, Jose-Luis Garcia-Soidan, Luis-Modesto Alvarez-Sabucedo, Juan-Manuel Santos-Gago

“…The platform takes advantage of blockchain's benefits, such as transparency and reliability in data handling, without the need for intermediaries. …”
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Remote work – the new normal needs more research by Annina Ropponen

“…Since the last decade, the use of employer-owned register data for studies of working hours has increased [eg, (11-13)] and such data could enable investigation of place for work (ie, where) in addition to timing (when) (14, 15). …”
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Generative AI/LLMs for Plain Language Medical Information for Patients, Caregivers and General Public: Opportunities, Risks and Ethics by Pal A, Wangmo T, Bharadia T, Ahmed-Richards M, Bhanderi MB, Kachhadiya R, Allemann SS, Elger BS

“…There are ethical concerns that overreliance/unsupervised reliance on gAI/LLMs could lead to the “humanizing” of these models and pose a risk to patient health equity, inclusiveness and data privacy. For these technologies to be truly transformative, they must become more transparent, have appropriate governance and monitoring, and incorporate feedback from healthcare professionals (HCPs), patients, and other experts. …”
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Standardised and Objective Dietary Intake Assessment Tool (SODIAT): Protocol of a dual-site dietary intervention study to integrate dietary assessment methods [version 2; peer revi... by Katerina Petropoulou, Julie A Lovegrove, John Draper, Manfred Beckmann, Albert Koulman, Amanda J Lloyd, Benny Lo, George Mylonas, Stamatia Giannarou, Juliet Vickar, Adrian R Solis, Frank P.-W. Lo, Rosalind Fallaize, Jennifer Pugh, Isabel Garcia-Perez, Thomas Wilson, Michelle Weech, Eka Bobokhidze, Gary Frost

“…Urine and capillary blood samples were collected for biomarker analysis. Data analysis will assess dietary reporting accuracy across these methods using Lin’s concordance correlation coefficient. …”
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Mental Health in the Age of Hyperconnectivity: A Crisis Hidden in Plain Sight by Sitara Ejaz, Hafiz Muhammad Haseeb Khaliq

“…The digital revolution, which brought undeniably welcome changes in communication and data retrieval, has also introduced a hidden mental health crisis into society. …”
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BRCA cascade counselling and testing in Italy: current position and future directions by Silvia Costanzo, Lea Godino, Simona De Summa, Tommaso Maria Marvulli, Maurizio Genuardi, Maria Luisa Di Pietro, Emanuela Lucci Cordisco, Daniela Turchetti, Sara Miccoli, Giuseppe Deledda, Giovanna Fantoni, Valeria Viassolo, Oronzo Brunetti, Raffaele De Luca, Maria Digennaro, Francesca Romito, Maria Campanella, Margherita Patruno

“…Categorical variables were compared using Pearson’s Chi-squared test or Fisher’s exact test based on sample size and expected frequencies, whereas continuous variables were analyzed using the Wilcoxon rank-sum test because of non-normal data distribution. …”
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Feasibility and acceptability of implementing the Global Scales for Early Development (GSED) package for children 0–3 years across three countries by Ambreen Nizar Merchant, Raghbir Kaur, Gareth McCray, Vanessa Cavallera, Ann Weber, Melissa Gladstone, Magdalena Janus, Imran Nisar, Patricia Kariger, Sunil Sazawal, Arup Dutta, Salahuddin Ahmed, Yunting Zhang, Mariana Pacifico Mercadante, Arsene Zongo, Yvonne Schönbeck, Tarun Dua, Iris Eekhout, Fahmida Tofail, Maureen Black, Abdullah H. Baqui, Dana McCoy, Farzana Begum, Romuald Kouadio E. Anago, Alexandra Brentani, Fan Jiang, Symone Detmar, Michelle Perez Maillard, Marcus Waldman, Stef van Buuren, Abbie Raikes, Katelyn Hepworth, Marta Rubio Codina, Shirina Akhtar, Fyezah Jehan, Rasheda Khanam, Hassan Naqvi, Abrarul Haque Asif, Junaid Mehmood, Sidra Afzal, Gillian Lancaster

“…Implementation challenges reiterated the need to develop a more comprehensive training module covering GSED administration and other topics, including the consent process, rapport building, techniques for maintaining privacy and preventing distraction, and using didactic and interactive learning modes. …”
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