Assessing the transferability of BERT to patient safety: classifying multiple types of incident reports by Ying Wang, Farah Magrabi

“…For ambiguous medium and low severity levels, the F-score improvements ranged from 3.6% to 19.7% across all test datasets.Discussion Fine-tuned BERT led to improved performance, particularly in identifying rare classes and generalising effectively to unseen data, compared with small CNNs.Conclusion Fine-tuned BERT may be useful for classification tasks in patient safety where data privacy, scarcity and imbalance are common challenges.…”
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The moderating role of personalized recommendations in the trust–satisfaction–loyalty relationship: an empirical study of AI-driven e-commerce by Noha Hassan, Mohamed Abdelraouf, Dina El-Shihy

“…Design/methodology/approach A quantitative research approach was used to collect data from a diverse group of e-commerce users who had interacted with AI-based recommendation systems. …”
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Unleashing the Power of Wireless Communication in Healthcare by Empowering Patient Care and Connectivity: A Comprehensive Survey by Urvashi Chaudhary, Mohammad Furqan Ali, Ambrish Kumar, Abhishek Sharma, Dushantha K. Nalin Jayakody

“…These challenges and opportunities include data security and privacy issues, as well as the need for a robust communication infrastructure. …”
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Barriers and facilitators to telemedicine contraception among patients that speak Spanish: a qualitative studyAJOG Global Reports at a Glance by Marielle E. Meurice, MD, MAS, Gennifer Kully, Msc, Sarah Averbach, MD, MAS, Antoinette Marengo, MD, Jesse Nodora, DrPH, Maricela Cervantes, MPH, Sheila K. Mody, MD, MPH

“…Two coders analyzed the data using thematic analysis. Results: The average age of the participants was 32.5 years old (range 19–45). …”
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Digital Health Interventions for Depression and Anxiety in Low- and Middle-Income Countries: Rapid Scoping Review by Leena W Chau, Raymond W Lam, Harry Minas, Kanna Hayashi, Vu Cong Nguyen, John O'Neil

“…Challenges pertained to the technological system, engagement issues, structural barriers, and concerns regarding privacy and confidentiality. Facilitators included widespread mobile phone use, built-in supervision and training features, and convenience. …”
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Telehealth for the study of palliative care communication: opportunities, methodological challenges, and recommendations by Elise C. Tarbi, Susanna L. Schuler, Natalie Ambrose, Rebecca N. Hutchinson, Maija Reblin, Katharine L. Cheung

“…Conclusions Overall, our approach demonstrates possibilities for the use of telehealth to study palliative care communication and provides a “how-to” example for unique telehealth considerations from data collection through analysis. …”
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Revolutionising Educational Management with AI and Wireless Networks: A Framework for Smart Resource Allocation and Decision-Making by Christos Koukaras, Euripides Hatzikraniotis, Maria Mitsiaki, Paraskevas Koukaras, Christos Tjortjis, Stavros G. Stavrinides

“…By leveraging data-driven insights enabled by reliable wireless connectivity, institutions can make more informed decisions, use resources more effectively, and automate routine tasks. …”
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Emerging technologies and applications in multimodality imaging for ischemic heart disease: current state and future of artificial intelligence by Praveen Kumar Chandra Sekar, Ramakrishnan Veerabathiran

“…Addressing regulatory and ethical challenges, such as data privacy and algorithm transparency, is crucial for the broader adoption of these advanced technologies. …”
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A Review of Multimodal Interaction in Remote Education: Technologies, Applications, and Challenges by Yangmei Xie, Liuyi Yang, Miao Zhang, Sinan Chen, Jialong Li

“…Though multimodal communication may bring a historical improvement to the mode of online education, the platform still faces many issues, such as media synchronization, higher computational demand, physical adaptability, and privacy concerns. These problems demand further research in the fields of algorithm optimization, access to technology guidance, and the ethical use of big data. …”
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Assessment of the Efficiency of a ChatGPT-Based Tool, MyGenAssist, in an Industry Pharmacovigilance Department for Case Documentation: Cross-Over Study by Alexandre Benaïche, Ingrid Billaut-Laden, Herivelo Randriamihaja, Jean-Philippe Bertocchio

“…Information provided within the template changes depending on the case: such data come from a table sent to the LLM. We then measured the time spent on each case for a period of 4 months (2 months before using the tool and 2 months after its implementation). …”
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Artificial intelligence enabled smart mask for speech recognition for future hearing devices by Hira Hameed, Lubna, Muhammad Usman, Jalil Ur Rehman Kazim, Khaled Assaleh, Kamran Arshad, Amir Hussain, Muhammad Imran, Qammer H. Abbasi

“…A smart RFID face mask is used to collect a dataset containing three different classes of vowels (A, E, I, O, U), Consonants (F, G, M, S), and words (Fish, Goat, Meal, Moon, Snake). …”
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Emerging role of generative AI in renewable energy forecasting and system optimization by Erdiwansyah, Rizalman Mamat, Syafrizal, Mohd Fairusham Ghazali, Firdaus Basrawi, S.M. Rosdi

“…For sustainable implementation, future developments must address challenges in model explainability, data privacy, and scalability. These findings support the journal’s scope by highlighting AI-driven advancements for the reliable, efficient, and sustainable transformation of energy systems.…”
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Exploring Therapists’ Approaches to Treating Eating Disorders to Inform User-Centric App Design: Web-Based Interview Study by Pamela Carien Thomas, Pippa Bark, Sarah Rowe

“…Barriers to recommendation include patient safety, data privacy, and a perception that they may not be effective. …”
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AI in dermatology: a comprehensive review into skin cancer detection by Kavita Behara, Ernest Bhero, John Terhile Agee

“…However, several challenges remain, such as concerns over data privacy, complexities in integrating AI systems into existing workflows, and the need for large, high-quality datasets. …”
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An investigation into the acceptance of intelligent care systems: an extended technology acceptance model (TAM) by Zhe Wang, Yuhui Wang, Yu Zeng, Jiayu Su, Zhirong Li

“…Moreover, higher privacy security requirements correlate with lower perceptions of the system’s usefulness. …”
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Code Obfuscation: A Comprehensive Approach to Detection, Classification, and Ethical Challenges by Tomer Raitsis, Yossi Elgazari, Guy E. Toibin, Yotam Lurie, Shlomo Mark, Oded Margalit

“…However, the lack of transparency in obfuscated code raises significant ethical concerns, including the potential for harmful or unethical uses such as hidden data collection, malicious features, back doors, and concealed vulnerabilities. …”
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IOT based wearable sensor system architecture for classifying human activity by V. Mahalakshmi, Pramod Kumar, Manisha Bhende, Ismail Keshta, Swatiben Yashvantbhai Rathod, Janjhyam Venkata Naga Ramesh

“…The proposed system follows a structured workflow: (i) channel state information (CSI) is extracted from ESP32 modules, (ii) data preprocessing is performed using Hampel and Gaussian filters for noise and outlier removal, (iii) dimensionality reduction is achieved through Principal Component Analysis (PCA) and Discrete Wavelet Transform (DWT), and (iv) activity classification is conducted using Dynamic Time Warping (DTW) and the K-Nearest Neighbors (KNN) algorithm. …”
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A Self-Sovereign Identity-Based Authentication and Reputation Protocol for IoV Applications by Victor Emanuel Farias da Costa Borges, Alvaro Sobrinho, Danilo F. S. Santos, Angelo Perkusich

“…Key innovations include a lightweight proof of reputation mechanism based on multi-party computation, enabling vehicles to collaboratively assess trustworthiness using recent spatiotemporal data without compromising privacy. …”
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Clinician and patient perceptions around implementing remote blood pressure monitoring for hypertensive disorders of pregnancy: A survey-based study by Theepika Rajkumar, Sharon Hu, Annemarie Hennessy, Angela Makris

“…Conclusion Though socioeconomic status, ethnicity and language influenced perceptions towards RBPM; overall, Australian pregnant women and clinicians are broadly receptive to its use in antenatal care. Successful implementation of RPBM requires careful evaluation of design and workflow to accommodate for patient diversity, ease of use, compliance, privacy and clinical utility to optimise the user experience.…”
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Comparison of Machine Learning Methods for Menstrual Cycle Analysis and Prediction by Mutiara Khairunisa, Desak Made Sidantya Amanda Putri, I Gusti Ngurah Lanang Wijayakusuma

“…The findings highlight the potential for improved accuracy in reproductive health tracking, with future research opportunities to incorporate additional variables such as hormonal history and lifestyle factors, as well as a focus on data privacy.…”
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