Artificial intelligence optimizes the standardized diagnosis and treatment of chronic sinusitis by Yang-Yang Liu, Shao-Peng Jiang, Ying-Bin Wang

“…There may also be data privacy issues involved. Therefore, more research and improvements are needed to realise the full potential of AI in the diagnosis and treatment of CRS.ConclusionOur findings inform the clinical diagnosis and treatment of CRS and the development of AI-assisted clinical diagnosis and treatment systems. …”
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Level of satisfaction and associated factors among patients attending outpatient departments of south Wollo health facilities, Ethiopia. by Wolde Melese Ayele, Abdurahman Ewunetu, Muluken Genetu Chanie

“…A multistage sampling technique was used to select participants. Data were collected an interviewer-administered structured validated questionnaire. …”
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Preparing future educators for AI-enhanced classrooms: Insights into AI literacy and integration by Lucas Kohnke, Di Zou, Amy Wanyu Ou, Michelle Mingyue Gu

“…We conducted semi-structured interviews with 15 pre-service teachers and used thematic analysis to interpret the data. Our findings revealed that these future educators recognised AI's potential to enhance personalised learning and increase classroom efficiency but worried about relying on AI too much and losing the human element in teaching. …”
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Artificial intelligence in personalized rehabilitation: current applications and a SWOT analysis by Elpidio Attoh-Mensah, Arnaud Boujut, Arnaud Boujut, Mikaël Desmons, Anaick Perrochon

“…Additionally, threats such as data privacy breaches and security vulnerabilities emphasize the need for robust, balanced regulatory frameworks. …”
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Pain expression and intercultural identity: a comparison between English and Persian among EFL learners by Hakimeh Abedini

“…Persian was often used for its emotionally resonant and metaphor-rich expressions, reflecting the cultural and historical depth of the language. …”
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Teaching postsecondary students about the ethics of artificial intelligence: A scoping review protocol. by Calvin Hillis, Maushumi Bhattacharjee, Batool AlMousawi, Tarik Eltanahy, Sara Ono, Marcus Hui, Ba' Pham, Michelle Swab, Gordon V Cormack, Maura R Grossman, Ebrahim Bagheri, Zack Marshall

“…The field of AI carries inherent risks such as algorithmic biases, security vulnerabilities, and ethical concerns related to privacy and data protection. Despite these risks, AI holds significant promise for social good, with applications ranging from improved healthcare diagnostics to enhanced education strategies. …”
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The Role of Artificial Intelligence in Boosting Cybersecurity and Trusted Embedded Systems Performance: A Systematic Review on Current and Future Trends by Ahmed Oun, Kaden Wince, Xiangyi Cheng

“…The key findings of our review indicate that AI significantly enhances security measures by enabling capabilities such as detection, classification, feature selection, data privacy preservation, model combination, data generation, output interpretation, optimization, and adaptation. …”
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Recommendations for Successful Development and Implementation of Digital Health Technology Tools by Rebecca Ting Jiin Loo, Francesco Nasta, Mirco Macchi, Anaïs Baudot, Frada Burstein, Riley Bove, Maike Greve, Holger Fröhlich, Sara Khalid, Arne Küderle, Susan L Moore, Valerie Storms, John Torous, Enrico Glaab

“…Key messages include the need to understand specific health care challenges, form interdisciplinary teams, incorporate patient feedback, select appropriate measurement technologies, ensure data integration and interoperability, apply advanced data science techniques, use scalable designs and open standards, comply with regulatory requirements, and maintain continuous evaluation and improvement. …”
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How AI-powered consultation services in internet hospitals influence patient satisfaction: A structural analysis by Junkai Wang, Linru Fu, Zeguang Huang, Kan Hu, Zhizhuo Lin, Qiuhong Tang

“…A dual-path analytical framework was developed: the technical path uses the E-S-QUAL model to assess the quality of intelligent consultation guidance services in terms of efficiency, system availability, privacy, and fulfillment; the experiential path is based on the Patient Experience-Driven Model, which integrates service encounter theory (focusing on patient-system interactions) and the Stimulus–Organism–Response theory (explaining how external stimuli trigger psychological and behavioral responses). …”
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Comparison of medical history documentation efficiency and quality based on GPT-4o: a study on the comparison between residents and artificial intelligence by Xiaojing Lu, Xinqi Gao, Xinyi Wang, Zhenye Gong, Jie Cheng, Weiguo Hu, Shaun Wu, Rong Wang, Xiaoyang Li

“…Medical history quality was evaluated by two attending physicians with over 10 years of clinical experience using ten case content criteria. Data were analyzed using paired t-tests and Wilcoxon signed-rank tests, with Kappa coefficients used to assess scoring consistency. …”
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Hybrid AI for Predictive Cyber Risk Assessment: Federated Graph-Transformer Architecture With Explainability by Jaime Govea, Rommel Gutierrez, William Villegas-Ch, Alexandra Maldonado Navarro

“…This paper proposes a hybrid model for predictive cyber risk assessment that integrates Graph Neural Networks (GNNs) for relational pattern modeling, a Transformer-based language model (CyberBERT) for semantic representation of logs and traffic data, and a Federated Learning framework to preserve data privacy during training. …”
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Exploring quality of life among elderly persons living with HIV in Accra, Ghana. by Marijanatu Abdulai, Philip Teg-Nefaah Tabong, Harriet Affran Bonful, Adolphina Addo-Lartey, Bismark Sarfo

“…The data was analysed thematically using QSR NVivo 11.…”
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Analyzing the Efficacy of Artificial Intelligence in Facilitating Medico-Legal Investigations and Enhancing Forensic Processes for Emergency Trauma Patients: A Systematic Review by Rajiv Ratan Singh, Sachin Kumar Tripathi, Azad Kumar Bharti, Pradeep Kumar Yadav

“…However, medicolegal concerns must be addressed for responsible AI implementation, including patient privacy, data security, liability, and ethics. Conclusion: AI can revolutionize trauma and emergency care by improving diagnosis, decision-making, and patient outcomes. …”
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The impacts of virtual try-on for online shopping on consumer purchase intention: the moderating role of technology experience by Quan Hong Nguyen, Truong Thi Hanh, Nghiem Le My Hanh, Nguyen Duong Lan Nhi, Dang Ngoc Anh, Ha Thuy Linh

“…The study examines VTO’s effects on purchase intentions and explores the moderating role of technological experience. Data from 557 individuals in Vietnam were analyzed using Structural Equation Modeling (SEM). …”
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TriagE-NLU: A Natural Language Understanding System for Clinical Triage and Intervention in Multilingual Emergency Dialogues by Béatrix-May Balaban, Ioan Sacală, Alina-Claudia Petrescu-Niţă

“…The system is built on a federated learning architecture to ensure data privacy and adaptability across regions and is trained using TriageX, a synthetic, clinically grounded dataset covering five languages (English, Spanish, Romanian, Arabic, and Mandarin). …”
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An Industry Application of Secure Augmentation and Gen-AI for Transforming Engineering Design and Manufacturing by Dulana Rupanetti, Corissa Uberecken, Adam King, Hassan Salamy, Cheol-Hong Min, Samantha Schmidgall

“…Built on an LLM framework enhanced by RAG, the system performs similarity-based retrieval and part recommendations while preserving data privacy through selective obfuscation using the ROT13 algorithm. …”
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FL-TENB4: A Federated-Learning-Enhanced Tiny EfficientNetB4-Lite Approach for Deepfake Detection in CCTV Environments by Jimin Ha, Abir El Azzaoui, Jong Hyuk Park

“…The TinyML-based local model ensures real-time deepfake detection with minimal latency, while FL enables privacy-preserving training by aggregating model updates without transferring sensitive video data to centralized servers. …”
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Mapping the digital silk road: evolution and strategic shifts in Chinese social media marketing (2015–2025) by Xinrui Liang, Wan Mohd Hirwani Wan Hussain, Mohammed R. M. Salem

“…However, hyper-personalized marketing creates a performance–trust trade-off, raising privacy concerns. Integrating the Technology Acceptance Model, Uses and Gratifications Theory, and Resource-Based View, the review underscores transparent AI integration, cross-platform coordination, and community co-creation as critical for sustained advantage, alongside privacy-centric, explainable, and ethically governed marketing practices.…”
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Empowerment in structures. Practical-ethical considerations of the preconditions for technology-assisted dementia care in Germany based on an expert-interview study by Johannes Welsch, Silke Schicktanz

“…Thematic content analysis was used to analyze the data.FindingsThe experts’ assessments of the current preconditions for TADC in Germany were starkly ambivalent. …”
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A review of machine learning and internet-of-things on the water quality assessment: Methods, applications and future trends by Gangani Dharmarathne, A.M.S.R. Abekoon, Madhusha Bogahawaththa, Janaka Alawatugoda, D.P.P. Meddage

“…While IoT significantly improves real-time contamination detection, persistent challenges remain in sensor fouling, data continuity, data privacy, network reliability, and cybersecurity. …”
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