The effects of community-based education programs on empathy, emotional intelligence, and caring behaviors among nursing students: a scoping review by Ma Jing, Ma Jing, Pinglei Chui, Mei Chan Chong, Tang Maoting

“…While community-based education programs offer promising benefits, there is still limited understanding of their impact on nursing students’ empathy, emotional intelligence, and caring behaviors. This scoping review aims to examine how community-based educational interventions can assist nursing students in developing these essential competencies, ultimately contributing to better outcomes in geriatric care.MethodA scoping review was conducted following the framework of Arksey and O’Malley. …”
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Impact of Helicobacter pylori infection on iron deficiency anemia in children: a systematic review and meta-analysis with early intervention implications by Ziteng Wang, Wentao Tan, Huanhuan Xiong, Jiali Huang, Herui Wei, Mengqi Li, Jing Luo, Wen An, Lingling He, Jiali Ma, Fan Xiao, Fan Xiao, Fan Xiao, Fan Xiao, Hongshan Wei

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Artificial intelligence vs. human expert: Licensed mental health clinicians' blinded evaluation of AI-generated and expert psychological advice on quality, empathy, and perceived a... by Ludwig Franke Föyen, Emma Zapel, Mats Lekander, Erik Hedman-Lagerlöf, Elin Lindsäter

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Bone Mineral Density and Intermuscular Fat Derived from Computed Tomography Images Using Artificial Intelligence Are Associated with Fracture Healing by Yilin Tang, Xiaodong Wang, Ming Li, Liang Jin

“…<b>Objectives:</b> To employ artificial intelligence (AI) to automatically measure bone mineral density (BMD) and intramuscular fat in computed tomography (CT) images of patients with fractures and explore the association between these parameters and fracture healing. …”
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Generative artificial intelligence acceptance, anxiety, and behavioral intention in the middle east: a TAM-based structural equation modelling approach by Mona Gamal Mohamed, Polat Goktas, Shimaa Abdelrahim Khalaf, Aycan Kucukkaya, Ibrahim Al-Faouri, Ebtisam Abd Elazeem Saber Seleem, Awatef Ibraheem, Aya M. Abdelhafez, Saleh O. Abdullah, Hanan Nasef Zaki, Abdulqadir J. Nashwan

“…Data were collected using a structured questionnaire comprising the Generative Artificial Intelligence Acceptance Scale and the Artificial Intelligence Anxiety Scale. …”
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Exploring artificial intelligence knowledge, attitudes, and practices among nurses, faculty, and students in Saudi Arabia: A cross-sectional analysis by Maria Elena M. Mariano, Mahmoud Abdel Hameed Shahin, Shangrila Joy Ancheta, Minimole Vijayan Kunjan, Nasrah Mubarak Al Dossary, Sarah Fahad Al Ojaimi, Sajeda Abdulla Al Qudah, Hajer Fayez Al Harbi

“…This study aimed to assess the knowledge, attitudes, and practices of nurses, nursing faculty, and students regarding artificial intelligence in Saudi Arabia. A cross-sectional descriptive correlational study was conducted from June 2023 to November 2023 to assess participants' knowledge, attitudes, and practices regarding AI. …”
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Artificial intelligence based assessment of clinical reasoning documentation: an observational study of the impact of the clinical learning environment on resident documentation qu... by Verity Schaye, David J. DiTullio, Daniel J. Sartori, Kevin Hauck, Matthew Haller, Ilan Reinstein, Benedict Guzman, Jesse Burk-Rafel

“…Future work should explore residency program and systems interventions to optimize the CLE.…”
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Bee-stings-inspired intelligently-sensitive electroactive microneedle with serrated structure for advanced electrical-stimulation-intervened chronic wound-management by Huie Jiang, Jiamin Zhang, Lijuan Chen, Qian Zhang, Fengqian Yang, Yifan Fei, Xing Chen, Xinhua Liu

“…This innovative approach combines bioelectronics with intelligent drug delivery and microneedling technology to effectively address the critical challenges of chronic wound management, offering promising prospects for precision diagnostics and therapeutic interventions.…”
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Prognostic value of a composite physiologic index developed by adding bronchial and hyperlucent volumes quantified via artificial intelligence technology by Michihiro Uyama, Tomohiro Handa, Ryuji Uozumi, Seishu Hashimoto, Yoshio Taguchi, Kohei Ikezoe, Kiminobu Tanizawa, Naoya Tanabe, Tsuyoshi Oguma, Atsushi Matsunashi, Takafumi Niwamoto, Hiroshi Shima, Ryobu Mori, Tomoki Maetani, Yusuke Shiraishi, Tomomi W. Nobashi, Ryo Sakamoto, Takeshi Kubo, Akihiko Yoshizawa, Kazuhiro Terada, Yuji Nakamoto, Toyohiro Hirai

“…Trial registration None (no health care interventions were performed).…”
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Examining students' perspectives on the use of artificial intelligence tools in higher education: A case study on AI tools of graphic design by Ahmed Alsswey

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Enhancing Nursing Students’ Attitudes Toward Older Adults Through an Artificial Intelligence Virtual Simulation: A Mixed-Method Design by Anne White, Mary Beth Maguire, Austin Brown

“…A three-phased educational intervention that included an artificial intelligence (AI)-driven virtual simulation was implemented to address this. …”
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Artificial Intelligence–Enabled ECGs for Atrial Fibrillation Identification and Enhanced Oral Anticoagulant Adoption: A Pragmatic Randomized Clinical Trial by Wei‐Ting Liu, Chin Lin, Chiao‐Chin Lee, Chiao‐Hsiang Chang, Wen‐Hui Fang, Dung‐Jang Tsai, Wen‐Yu Lin, Yuan Hung, Kai‐Chieh Chen, Chun‐Ho Lee, Tsung‐Neng Tsai, Wei‐Shiang Lin, Yi‐Jen Hung, Shih‐Hua Lin, Chien‐Sung Tsai, Chin‐Sheng Lin

“…The intervention group also had a higher rate of AF diagnosis (HR, 1.40 [95% CI, 1.03–1.90]). …”
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Prediction of barberry witches’ broom rust disease using artificial intelligence models: a case study in South Khorasan, Iran by Javad Ramezani-Avval Reiabi, Mojtaba Mohammadpoor

“…Our research aims to detect infected leaves containing this fungal pathogen using deep learning (DL)-based artificial intelligence (AI) techniques on an available dataset. …”
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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

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A Novel MetaSoft Tree-Cognitive Set Model for Evaluating Criminal Litigation Efficiency under Artificial Intelligence Ecosystems by Yuanyuan Meng, Jing Cai

“…Artificial Intelligence (AI) is transforming judicial systems by offering tools that enhance legal decision-making, yet measuring the efficiency of criminal litigation processes within these evolving digital ecosystems remains a complex task. …”
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Artificial Intelligence (AI)-Based simulators versus simulated patients in undergraduate programs: A protocol for a randomized controlled trial by Youness Zidoun, Abdelmoniem EL Mardi

“…Recent advances in artificial intelligence (AI) offer new possibilities with AI-based simulators, introducing limitless opportunities for simulation-based training. …”
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Artificial intelligence-driven clinical decision support systems for early detection and precision therapy in oral cancer: a mini review by Manoj Kumar Karuppan Perumal, Remya Rajan Renuka, Suresh Kumar Subbiah, Prabhu Manickam Natarajan

“…This comprehensive AI-CDSS approach allows for early cancer detection, a reduction in diagnostic delays and improved intervention outcomes. Moreover, the AI-CDSS also optimizes treatment plans on the basis of unique patient parameters, tumor stages and risk factors, providing personalized therapy.…”
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Accuracy evaluation of artificial intelligence-based mobile applications for assessing traumatic injury severity through photographic analysis: Simulation study by Milić Marko Kimi, Prodović Tanja, Mitrović Aleksandar

“…Introduction: Rapid and accurate assessment of traumatic injury severity is crucial for effective triage and timely intervention in emergency medicine. Mobile applications based on artificial intelligence (AI) offer an objective assessment of injury severity through photographic analysis; however, their accuracy has not been sufficiently explored. …”
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Prediction of obesity levels based on physical activity and eating habits with a machine learning model integrated with explainable artificial intelligence by Yasin Görmez, Fatma Hilal Yagin, Burak Yagin, Yalin Aygun, Hulusi Boke, Georgian Badicu, Matheus Santos De Sousa Fernandes, Abedalrhman Alkhateeb, Mahmood Basil A. Al-Rawi, Mohammadreza Aghaei, Mohammadreza Aghaei

“…ObjectivesThis study aims to build a machine learning (ML) prediction model integrated with explainable artificial intelligence (XAI) to categorize obesity levels from physical activity and dietary patterns. …”
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Development of clinical decision support for patients older than 65 years with fall-related TBI using artificial intelligence modeling. by Biche Osong, Eric Sribnick, Jonathan Groner, Rachel Stanley, Lauren Schulz, Bo Lu, Lawrence Cook, Henry Xiang

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