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For: Abujaber AA, Nashwan AJ. Ethical framework for artificial intelligence in healthcare research: A path to integrity. World J Methodol 2024; 14(3): 94071 [PMID: 39310239 DOI: 10.5662/wjm.v14.i3.94071]
URL: https://www.wjgnet.com/2222-0682/full/v14/i3/94071.htm
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Maria Goldberg, Viktor Maria Eisenkolb, Amir Kaywan Aftahy, Chiara Negwer, Hanno S Meyer, Jens Gempt, Bernhard Meyer, Arthur Wagner. Validity of evidence-based recommendations by a large language model for interdisciplinary board decisions in neurooncology: An explorative study and critical evaluationDIGITAL HEALTH 2025; 11 doi: 10.1177/20552076251384604
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Raffaele Joseph, Liya Wassie, Hailemichael Getachew, Doris Wangari, Evelyn Gitau, Claude Pirmez, Dominique Laforest, Richa Vashishtha, Ndeya M. Samb, Zoleka Ngcete, Mosoka P. Fallah, Rosa Tsegaye Aga, Michael Mihut, Andreas Alois Reis, Abraham Aseffa, Alemseged Abdissa. Fostering an enabling environment for health AI innovation and scale: The need for tailored ethics training for innovators in low- and middle-income countriesAI and Ethics 2026; 6(1) doi: 10.1007/s43681-025-00921-3
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Constantin Pisarenco, Serghei Pisarenco. The three pillars of legal protection for doctors in the era of digital medicine: protocols, documentation, consentBulletin of the Academy of Sciences of Moldova. Medical Sciences 2025; 80(3): 78 doi: 10.52692/1857-0011.2024.3-80.12
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Muhammad Agreindra Helmiawan, Sri Bekti Handayani Ningsih, Iyat Ratna Komala, Mona Yulianti, Uu Sunarya, Balkis Fitriani Faozi. Evaluation of Healthcare Professionals' Satisfaction with the Use of AI in Supporting Clinical Diagnosis2025 13th International Conference on Cyber and IT Service Management (CITSM) 2025; : 1 doi: 10.1109/CITSM67730.2025.11291220
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Sylvain L. B. Faye, Fatoumata B. Diongue, Abdourakhmane Ndao, Boly Diop, Georgette H. C. Sow, Ndiaye Dia, Fallou Diakhate, Tidiane Gadiaga, Pape Samba Dieye, Oumou Kalsom D. Gueye, Yoro Sall, Ibrahima Seck, Youssou Bamar Gueye, Aminata Massaly, Moussa Seydi, Ibrahima Sy. Advancing epidemic intelligence: evaluating Senegal’s mpox surveillance system and readiness for AI-driven predictive modellingFrontiers in Public Health 2026; 14 doi: 10.3389/fpubh.2026.1742888
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Jeffrey Rakover, Marina Lynne Renton, Pierre Barker, Gareth Kantor. Advancing AI in healthcare: three strategic roles for quality and safety leadersBMJ Quality & Safety 2026; 35(3): 213 doi: 10.1136/bmjqs-2025-019050
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Giovannino Silvestri, Aditi Chatterjee. HIV-1 and Artificial Intelligence: From Molecular Insight to Population ImpactJournal of AIDS and HIV Treatment 2025; : 123 doi: 10.33696/AIDS.7.068
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Venkata Manikesh Iruku. LLM-Powered Self-Auditing Framework for Healthcare Data Pipelines: Continuous Validation LifecycleEuropean Journal of Computer Science and Information Technology 2025; 13(50): 82 doi: 10.37745/ejcsit.2013/vol13n5082100
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Sacramento Pinazo-Hernandis, Rosa Redolat, Antonio Caballer, Patricia C Heyn. Artificial intelligence-based technologies to reduce loneliness and improve social connectedness in older people: a systematic reviewThe Gerontologist 2026; 66(1) doi: 10.1093/geront/gnaf267
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Matthew Halton. Finding Balance: Ethical Promotion of Artificial Intelligence Use to Youth in an Age of LonelinessChild & Youth Services 2025; : 1 doi: 10.1080/0145935X.2025.2561693
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Junying Jiang, Lúcia Domingues, Jorge M. Mendes. Synthetic data in medical imaging within the EHDS: a path forward for ethics, regulation, and standardsFrontiers in Digital Health 2025; 7 doi: 10.3389/fdgth.2025.1620270
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Fear of the future: Understanding artificial intelligence phobia and its socio-cultural implicationsInternational Journal of ADVANCED AND APPLIED SCIENCES 2026; 13(2): 134 doi: 10.21833/ijaas.2026.02.014
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Diego Fernando Garcia-Bañol, Adrianny Mahelis Arias-Choles, Silvia Aldana-Peréz, Gustavo J. Aroca-Martínez, Carlos Guido Musso, Roberto Navarro-Quiroz, Alex Dominguez-Vargas, Henry J. Gonzalez-Torres. Machine learning in lupus nephritis: bridging prediction models and clinical decision-making towards personalized nephrologyFrontiers in Medicine 2025; 12 doi: 10.3389/fmed.2025.1686057
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Kyle Sporn, Rahul Kumar, Phani Paladugu, Joshua Ong, Tejas Sekhar, Swapna Vaja, Tamer Hage, Ethan Waisberg, Chirag Gowda, Ram Jagadeesan, Nasif Zaman, Alireza Tavakkoli. Artificial Intelligence in Orthopedic Medical Education: A Comprehensive Review of Emerging Technologies and Their ApplicationsInternational Medical Education 2025; 4(2): 14 doi: 10.3390/ime4020014
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Abdulqadir J Nashwan, Ahmad A Abujaber. Developing predictive models in nursing research and clinical practiceEvidence Based Nursing 2026; : ebnurs-2025-104474 doi: 10.1136/ebnurs-2025-104474
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Virendra S. Gomase, Arjun P. Ghatule, Rupali Sharma, Satish Sardana. Cybersecurity and Compliance in Clinical Trials: The Role of Artificial Intelligence in Secure Healthcare ManagementReviews on Recent Clinical Trials 2025; 20(4): 332 doi: 10.2174/0115748871366467250413070850
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Teresa Sides, Dhouha Kbaier, Tracie Farrell, Aisling Third. Bridging trust gaps: Stakeholder perspectives on AI adoption in the United Kingdom NHS primary careDIGITAL HEALTH 2025; 11 doi: 10.1177/20552076251386706
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Ahmad A Abujaber, Abdulqadir J Nashwan. Harnessing artificial intelligence for suicidality detectionEvidence Based Nursing 2025; : ebnurs-2025-104277 doi: 10.1136/ebnurs-2025-104277
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Santiago Frid, Octavi Bassegoda, Maria Araceli Camacho Mahamud, Gemma Sanjuan, Miguel Ángel Armengol de la Hoz, Leo Celi, Isaac Cano Franco, Gerard Anmella, Tomas Cuñat López, Ana Lucía Arellano, Lina María Leguízamo-Martínez, Laura Mezquita, Petter Axcell Peñafiel Macías, Antonio Gallardo-Pizarro, Ruben González Colom, Arturo Renú Jornet, Guillem Bracons Cucó, Xavier Borrat Frigola. Bridging generative AI and healthcare practice: insights from the GenAI Health Hackathon at Hospital Clínic de BarcelonaBMJ Health & Care Informatics 2025; 32(1): e101640 doi: 10.1136/bmjhci-2025-101640
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