A practical framework for appropriate implementation and review of artificial intelligence (FAIR-AI) in healthcare by Brian J. Wells, Hieu M. Nguyen, Andrew McWilliams, Matt Pallini, Amy Bovi, Andrew Kuzma, Justin Kramer, Shih-Hsiung Chou, Timothy Hetherington, Patricia Corn, Yhenneko J. Taylor, Audrey Cuison, Mary Gagen, McKenzie Isreal, FAIR-AI Consortium

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Explainable artificial intelligence for targeted protein degradation predictions by Francis J. Prael III, Jutta Blank, William C. Forrester, Lingling Shen, Raquel Rodríguez-Pérez

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Artificial Intelligence–assisted Risk Stratification in Aesthetic Surgery: A Prospective Observational Study by Williams E. Bukret, MD, EMBA

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Nursing Students’ Attitudes Toward Artificial Intelligence: Palestinian Perspectives by Basma Salameh RN, PhD, Jamal Qaddumi RN, PhD, Bahaaeddin Hammad RN, PhD, Faida Eqtit RN, PhD, Ahmad Juma Ibraheem Ayed RN, PhD, Imad Fashafsheh RN, PhD, Mohammed ALBashtawy RN, PhD, Fadia Reshia RN, PhD, Ivan Lukic MD, PhD

“…Nursing students have a positive attitude toward AI in terms of benefits and willingness to use it in nursing practice. However, nursing students have a neutral attitude toward the practical advantages of AI and exhibit a negative attitude toward the dangers of AI in nursing. …”
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Patient Perspectives on Artificial Intelligence in Health Care: Focus Group Study for Diagnostic Communication and Tool Implementation by Garrett Foresman, Joshua Biro, Alberta Tran, Kate MacRae, Sadaf Kazi, Laura Schubel, Adam Visconti, William Gallagher, Kelly M Smith, Traber Giardina, Helen Haskell, Kristen Miller

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Artificial intelligence-generated images in skin cancer education: an experimental study by Jevan Cevik, Ishith Seth, Warren M Rozen

“…Images created by Midjourney and BlueWillow had exaggerated fictionalised features that the authors deemed not appropriate for clinical education and could not be analysed by AI Dermatologist. …”
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Opportunities and practices supporting responsive health care for forced migrants: lessons from transnational practice and a mixed-methods systematic review by Amy Robinson, Protus Musotsi, Ziaur Rahman A Khan, Laura Nellums, Bayan Faiq, Kofi Broadhurst, Gisela Renolds, Michael Pritchard, Andrew Smith

“…The case examples drew attention to the benefits of a willingness to innovate and work outside existing structures, ‘micro-flexibility’ in interactions with patients, and the creation of safe spaces to encourage trust in providers. …”
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Use of artificial intelligence tools by audiologists and speech-language therapists: an international survey of academicians by Komal Aggarwal, Rohit Ravi, Krishna Yerraguntla

“…The present global survey explored the utilization of AI among academicians in audiology and speech-language therapy (ASLT) and their willingness to use AI tools in their academic work. …”
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Attitudes and readiness to adopt artificial intelligence among healthcare practitioners in Pakistan’s resource-limited settings by Khaloud Tariq, Huma Tahir, Ushna Malik, Kanza Iqbal, Aqsa Shabbir, Arooj Ul Hassan

“…While 282 (62.5%) expressed eagerness to incorporate AI into diagnosis and treatment planning, a significant difference was observed between groups, with dental practitioners showing greater willingness (p = 0.004). Additionally, dentists exhibited higher confidence in using AI compared to medical practitioners (p = 0.047). …”
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Teachers’ preparedness for the utilization of artificial intelligence in classroom assessment: the contributory effects of attitude toward technology, technological readiness, and... by Usani Joseph Ofem, Faith Sylvester Orim, Imelda Barong Edam-Agbor, Eme Orok Iban Amanso, Eni Eni, James Omaji Ukatu, Sylvia Victor Ovat, Anastecia William Osang, Constance Dien, Cyril Bisong Abuo

“…The results indicate that both perceived ease of use and perceived usefulness significantly influence teachers’ willingness to adopt Artificial intelligence, with pedagogical beliefs and technological readiness being particularly influential. …”
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How challenge stressors affect deviant innovation behavior among Chinese frontline textile workers in the age of artificial intelligence by Xiaoru Du, Chunzi Cai

“…Higher satisfaction can enhance employees’ willingness to engage in innovative behaviors, even in the presence of challenge stressors, while lower satisfaction may hinder such behaviors. …”
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A national survey on the integration of traditional Chinese medicine and artificial intelligence: attitudes and perceptions from the individuals with health needs by Xinyin Hu, Yinger Gu, Hye Won Lee, Xiaoteng Chen, Ying Li, Xinyue Li, Qiaoping Zhao, Wei Wang, Haifeng Huang, Lisi Wang, Nv Xia, Wenjie Wu, Lingling Lou, Pingchun Yang, Ke Ren, Jinglu Guo, Cheng Wang, Longlong Fan, Zheng Yao, Guomei You, Jue Zhou, Fangfang Wang, Fan Qu

“…Results: A total of 1641 (63.4 %) respondents were familiar with the TCM-AI equipment, and 61.7 % respondents were willing to try TCM diagnosis and treatment services combined with AI. 43.5 % respondents trusted the diagnosis results provided by the TCM-AI equipment. …”
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A national survey on how to improve the integration of traditional Chinese medicine and artificial intelligence: Attitudes and perceptions from medical staff by Yinger Gu, Xinyin Hu, Hye Won Lee, Zheng Yao, Tianyi Zhou, Nv Xia, Pingchun Yang, Jinglu Guo, Haifeng Huang, Lisi Wang, Wei Wang, Cheng Wang, Qiaoping Zhao, Lingling Lou, Wenjie Wu, Ke Ren, Guomei You, Longlong Fan, Jue Zhou, Fangfang Wang, Xiaoteng Chen, Fan Qu

“…Results: In the process of clinical practice, 62.1 % of medical staff were willing to try TCM diagnosis and treatment services combined with AI. …”
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On Regulating Downstream AI Developers by Sophie Williams, Jonas Schuett, Markus Anderljung

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Generative AI may create a socioeconomic tipping point through labour displacement by Jo-An Occhipinti, William Hynes, Ante Prodan, Harris Eyre, Roy Green, Sharan Burrow, Marcel Tanner, John Buchanan, Goran Ujdur, Frederic Destrebecq, Christine Song, Steven Carnevale, Ian B. Hickie, Mark Heffernan

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Digital twin integration in metalworking: enhancing efficiency and predictive maintenance by William Villegas-Ch, Rommel Gutierrez, Jaime Govea

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“Choose what suits you”: The role of relative competency strength in shaping job applicants’ reactions and strategies toward AI-based interview by Jiaxuan Wang, Jinghao Zhang, Julie N.Y. Zhu, Liying Bai

“…In the present research, we draw on expectancy theory to propose a contingent model explaining when and why applicants are more willing to accept an AI-based interview (vs. human-based interview). …”
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Freedom and Personal Autonomy as the Foundation of Private International Law and the Cornerstone of Individual Rights in the AI Era by Antoni Abat i Ninet

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Targeting everyday decision makers in research: early career researcher and patient and public involvement and engagement collaboration in an AI-in-healthcare project by Duncan J. Reynolds, Susan Mountain, Victoria Bartle, Elizabeth Remfry, Michael R. Barnes, Nick J. Reynolds, Alexandra Thompson, AI MULTIPLY

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