The Practical, Robust Implementation and Sustainability (PRISM)-capabilities model for use of Artificial Intelligence in community-engaged implementation science research by Nabila El-Bassel, James David, Trena I. Mukherjee, Maneesha Aggarwal, Elwin Wu, Louisa Gilbert, Scott Walters, Redonna Chandler, Tim Hunt, Victoria Frye, Aimee Campbell, Dawn A. Goddard-Eckrich, Katherine Keyes, Shoshana N. Benjamin, Raymond Balise, Smaranda Muresan, Eric Aragundi, Marc Chen, Parixit Davé, David Lounsbury, Nasim Sabounchi, Dan Feaster, Terry Huang, Tian Zheng

“…CER fosters collaboration throughout all research phases, from problem identification and implementation to evaluation. Artificial Intelligence (AI) could enhance the collaborative process by improving data collection, analysis, insight, and engagement, while preserving research ethics. …”
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Artificial intelligence for prediction of atrial fibrillation in the stroke unit: a retrospective derivation validation cohort studyResearch in context by Maximilian Schoels, Laura Krumm, Alexander Nelde, Manuel C. Olma, Christian H. Nolte, Jan F. Scheitz, Markus G. Klammer, Christoph Leithner, Andreas Meisel, Franziska Scheibe, Michael Krämer, Karl Georg Haeusler, Matthias Endres, Christian Meisel

“…Several artificial intelligence models have been proposed to predict AF based on ECG in sinus rhythm, but broad implementation has been limited. …”
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Editorial: Personality disorders in youth: from early diagnosis to treatment by Tianhong Zhang, Katherine Durham, Paula Yanes-Lukin

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Comparative efficacy and acceptability of resilience-focused interventions for nurses: a systematic review and network meta-analysis of randomized controlled trials by Mengqi Liu, Zeping Yan, Caixia Wu

“…Conclusion Anger Management Psychoeducation, Mindfulness-Based Stress Reduction, and Emotional Intelligence training are the most effective interventions for enhancing nurses’ resilience. …”
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Plant–Microbe Interactions for Improving Postharvest Shelf Life and Quality of Fresh Produce Through Protective Mechanisms by Wajid Zaman, Adnan Amin, Atif Ali Khan Khalil, Muhammad Saeed Akhtar, Sajid Ali

“…The integration of artificial intelligence (AI) and machine learning further supports the selection of optimal microbial strains tailored to specific crops and storage conditions, further enhancing the treatment efficacy. …”
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Cancer-Therapy-Related Cardiac Dysfunction: Latest Advances in Prevention and Treatment by Carla Contaldi, Carmine D’Aniello, Domenico Panico, Andrea Zito, Paolo Calabrò, Emilio Di Lorenzo, Paolo Golino, Vincenzo Montesarchio

“…Preventive strategies include pharmacological interventions such as ACE inhibitors/angiotensin receptor blockers, beta-blockers, and statins. …”
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Developing an Equitable Machine Learning–Based Music Intervention for Older Adults At Risk for Alzheimer Disease: Protocol for Algorithm Development and Validation by Chelsea S Brown, Luna Dziewietin, Virginia Partridge, Jennifer Rae Myers

“…In phase 2, survey data will be used to develop ML algorithms in collaboration with the University of Massachusetts Amherst Center for Data Science and Artificial Intelligence. These ML models will be integrated into the digital music intervention and tested with a separate sample of 200 participants. …”
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Redefining Respiratory Care with Digital Interventions in Children with Bronchial Asthma: Exploring the Efficacy of Game-based Breathing Training and the Buteyko Method by Carlin Jersha Rachel, Kaushik Raman, Trephena Blessy, Ramalakshmi Krishnan

“…Clinical significance: The evaluation of digital solutions for asthma, including artificial intelligence (AI)-assisted breathing techniques and the Buteyko method, holds significant clinical relevance. …”
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Technological Innovations and Pedagogical Advancements in Basketball Skill Learning: A Systematic Review of High School Physical Education by Andy Nur Abady, Patrick Willyam M Butar Butar Patrick Willyam M Butar Butar, Jet Longakit, Velorine Gordichev Velorine Gordichev

“…The analysis concentrated on three analytical dimensions: technological interventions, pedagogical approaches, and performance metrics. …”
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Management of Acute Respiratory Distress Syndrome (ARDS): A Review of Current Ventilatory and Pharmacological Strategies by Jan Pielacinski, Szymon Pucyło, Mateusz Nieczyporuk, Martyna Skweres, Gabriela Piotrowska, Katarzyna Ceglarz, Aleksander, Kinga Sikora

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A mixed methods study protocol for CONFIVAC, an intervention to enhance paediatric nurses' and paediatricians' skills to promote vaccination and vaccine confidence by Elisabet Henderson, Sara Valmayor, Victoria Porthé, Alba Asensio, Xavier Bruna, Usue Elizondo-Alzola, Anna Ramirez-Morros, Gemma Ricós, Josep Vidal-Alaball, M. Isabel Pasarín, Cristina Rius, Elena Roel, Elia Díez

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Decoding Digital Synergies: How Mechatronic Systems and Artificial Intelligence Shape Banking Performance Through Quantile-Driven Method of Moments by Liviu Florin Manta, Alina Georgiana Manta, Claudia Gherțescu

“…This study investigates the heterogeneous impact of bank automation on institutional performance, emphasizing the role of mechatronic systems like automated teller machines (ATMs) and artificial intelligence-based tools such as chatbots and robo-advisors. …”
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Centennial Collection: Aneurysms by Kareem El Naamani, Stavropoula I. Tjoumakaris

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Development and validation of a hierarchical machine learning method using MALDI-TOF mass spectrometry for rapid SCCmec typing and PVL detection in MRSA: a multi-centre study by Tai-Han Lin, Ming-Jr Jian, Fujiko Mitsumoto-Kaseida, Norihito Kaku, Hsing-Yi Chung, Chih-Kai Chang, Cherng-Lih Perng, Yung-Chih Wang, Chih-Chien Wang, Yuan-Hao Chen, Katsunori Yanagihara, Hung-Sheng Shang

“…By streamlining diagnostics and supporting timely clinical interventions, this system can improve infection management and patient care, which will reduce mortality associated with MRSA infections.…”
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Mitigating Learning Burnout Caused by Generative Artificial Intelligence Misuse in Higher Education: A Case Study in Programming Language Teaching by Xiaorui Dong, Zhen Wang, Shijing Han

“…The advent of generative artificial intelligence (GenAI) has significantly transformed the educational landscape. …”
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Online verbal aggression on interpersonal trust among college students: the chain-mediating effect of core self-evaluation and emotional intelligence by Yao Yao, Yao Yao, Xuejun Fan, Gang Chen, Ping Li, Song Liu

“…Effective interventions should address self-evaluation, emotional intelligence, and interpersonal trust to mitigate the adverse effects of online verbal aggression on college students.…”
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Integrating Artificial Intelligence and the Internet of Things in Cultural Heritage Preservation: A Systematic Review of Risk Management and Environmental Monitoring Strategies by Neeraparng Laohaviraphap, Tanut Waroonkun

“…Traditional preservation methods primarily rely on periodic inspections and manual interventions and struggle to address these evolving and dynamic threats. …”
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Leveraging artificial intelligence to foster pro-environmental and green behavior in organizations: insights from PLS-SEM and necessary condition analysis by Mei Peng Low, Fitriya Abdul Rahim, Tai Ming Wut

“…This study examines the impact of artificial intelligence usage on employee behaviors within service-based organizations. …”
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Effectiveness, reach, uptake and feasibility of digital health interventions for adults with venous thromboembolism: protocol of a systematic review and meta-analysis by Yan Fu, Yong Cheng, Peng Qiu, Min Hu, Yanjie Wang, Xinwu Lu, Hongji Pu

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Influence of next-generation artificial intelligence on headache research, diagnosis and treatment: the junior editorial board members’ vision – part 2 by Igor Petrušić, Chia-Chun Chiang, David Garcia-Azorin, Woo-Seok Ha, Raffaele Ornello, Lanfranco Pellesi, Eloisa Rubio-Beltrán, Ruth Ruscheweyh, Marta Waliszewska-Prosół, William Wells-Gatnik

“…Abstract Part 2 explores the transformative potential of artificial intelligence (AI) in addressing the complexities of headache disorders through innovative approaches, including digital twin models, wearable healthcare technologies and biosensors, and AI-driven drug discovery. …”
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