Integrated approach in the control and management of skin neglected tropical diseases in Lalo, Benin. by Yves Thierry Barogui, Gabriel Diez, Esai Anagonou, Roch Christian Johnson, Inès Cica Gomido, Hermione Amoukpo, Zoulkifl Salou Bachirou, Jean Gabin Houezo, Raoul Saizonou, Ghislain Emmanuel Sopoh, Kingsley Asiedu

“…<h4>Methods</h4>It is a cross-sectional study using a single set of activities data conducted from May 2016 to December 2016. …”
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Acceptability of digital vending machines to improve access to sexual and reproductive health in Brighton, UK: a qualitative analysis by Jaime H Vera, Richard Cooper, Syra Dhillon, John Mear, Gillian Louise Dean, Rhys D Wenlock

“…Stakeholders were staff on sites where the VM was placed. Data analysis took place on NVivo, using a thematic approach.Results 12 users completed the interview. 42% within the age 18–25 years with equal male and female identifying distributions. 33% were heterosexual, 25% homosexual and 33% bisexual. …”
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AI-Driven Advancements in Orthodontics for Precision and Patient Outcomes by David B. Olawade, Navami Leena, Eghosasere Egbon, Jeniya Rai, Aysha P. E. K. Mohammed, Bankole I. Oladapo, Stergios Boussios

“…While AI offers tremendous potential, challenges remain in areas such as data privacy, algorithmic bias, and the cost of adopting AI technologies. …”
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Arabic speaking women’s experience of postpartum contraceptive counselling in Sweden by Sofia Berglundh, Khadija Abunnaja, Sibylle Herzig van Wees, Elin C. Larsson, Helena Kilander

“…The FGDs were conducted in Arabic and translated to English. Data was analysed using reflexive thematic analysis. …”
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Fighting Fire with Fire: Reclaiming Social Media to Promote Healthy Eating Behaviors among Children by Babu George, Martha Ravola

“…The paper emphasizes the importance of ethical considerations in implementing social media interventions for children, addressing privacy concerns, data security, and the need for age-appropriate, culturally sensitive content. …”
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Enhancing technological sustainability in academia: leveraging ChatGPT for teaching, learning and evaluation by Labaran Isiaku, Abubakar Sadiq Muhammad, Hyelda Ibrahim Kefas, Fitzgerald Chidozie Ukaegbu

“…However, it also sheds light on the ethical issues and challenges associated with its use, including privacy and data protection, transparency and alignment with educational principles. …”
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Exploring knowledge and attitudes toward electronic informed consent among clinical trial participants in China: a cross-sectional study by Ying Wu, Xing Liu, Xiaoying Ge, Xin Tan, Weiwei Yu, Xiaomin Wang

“…However, they also express concerns about data protection and privacy security in eIC. These findings provide a foundation for developing targeted strategies to enhance the adoption and acceptance of eIC among diverse populations.…”
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A Web-Based Interface That Leverages Machine Learning to Assess an Individual&#x2019;s Vulnerability to Brain Stroke by Divyansh Bhandari, Arnav Agarwal, R. Reena Roy, Rajaram Priyatharshini, Rodriguez Rivero Cristian

“…To bridge the gap between complex predictive models and end-users, we deploy this model in an intuitive web interface (built with Streamlit) that non-technical individuals and healthcare providers can easily use. This interface requires no specialized knowledge, preserves user privacy by avoiding any data storage, and provides clear explanations of results. …”
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A clinically accessible small multimodal radiology model and evaluation metric for chest X-ray findings by Juan Manuel Zambrano Chaves, Shih-Cheng Huang, Yanbo Xu, Hanwen Xu, Naoto Usuyama, Sheng Zhang, Fei Wang, Yujia Xie, Mahmoud Khademi, Ziyi Yang, Hany Awadalla, Julia Gong, Houdong Hu, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Yu Gu, Cliff Wong, Mu Wei, Tristan Naumann, Muhao Chen, Matthew P. Lungren, Akshay Chaudhari, Serena Yeung-Levy, Curtis P. Langlotz, Sheng Wang, Hoifung Poon

“…Abstract Large foundation models show promise in biomedicine but face challenges in clinical use due to performance gaps, accessibility, cost, and lack of scalable evaluation. …”
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Older adult stroke survivors’ needs and perspectives of a stroke app: a qualitative study by Wenjing Cao, Afang Li, Azidah Abdul Kadir, Juan Chen, Lanying Chen, Qing Li, Intan Idiana Hassan

“…Face-to-face semi-structured interviews were conducted between August and October 2024. Data were transcribed verbatim and analysed using Haase's adaptation of Colaizzi's phenomenological method. …”
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Adaptive Learning Algorithms for Low Dose Optimization in Coronary Arteries Angiography: A Comprehensive Review by Komal Tariq, Muhammad Adnan Munir, Hafiza Tooba Aftab, Amir Naveed, Ayesha Yousaf, Sajjad Ul Hassan

“…Results: The extracted data shows a comprehensive data on various techniques that are used for low dose CAA, advancements in image segmentation, noise reduction, and operator dose reduction highlight the potential of machine learning techniques. …”
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Dynamic Trust-based Access Control with Hybrid Encryption for Secure IoT Applications by Velliangiri A, Damle Madhavi, Abraham Peter Soosai Anandaraj, Satish Babu Jampani

“…To increase security, the model uses a hybrid encryption scheme that combines elliptic curve cryptography (ECC) with lightweight symmetric encryption, ensuring data confidentiality with minimal computational overhead. …”
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Bi-Modal Multiperspective Percussive (BiMP) Dataset for Visual and Audio Human Fall Detection by Joe Dibble, Michael C. F. Bazzocchi

“…Typical fall detection systems classify a fall event using either inertial- or vision-based data. Aside from these two modes of input for fall detection, sparse human fall audio data is available. …”
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Prescribing the Future: The Role of Artificial Intelligence in Pharmacy by Hesham Allam

“…This study delves into tools and methodologies enabling AI implementation, addressing ongoing challenges such as data privacy, algorithmic transparency, and ethical considerations while proposing actionable strategies to overcome these barriers. …”
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Developments in Deep Learning Artificial Neural Network Techniques for Medical Image Analysis and Interpretation by Olamilekan Shobayo, Reza Saatchi

“…While deep learning has demonstrated significant potential in enhancing diagnostic accuracy across multiple medical imaging modalities—including MRI, CT, US, and X-ray—factors such as model trust, data privacy, and ethical considerations remain ongoing concerns. …”
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Reducing Trade Document Processing Time Between Sri Lanka and its South Asian Neighbours by Applying Blockchain and Machine Learning Solutions by R. A. C. N. Rathnayake

“…This study investigates the potential of Blockchain (BC) and Machine Learning (ML) to reduce trade document processing time and improve trade efficiency. Using an explanatory sequence design, the research combines quantitative analysis of survey data with qualitative insights from case studies. …”
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Deep multi-biometric fuzzy commitment scheme: fusion methods and performance by Valentina Fohr, Christian Rathgeb

“…Abstract Biometric cryptosystems enable privacy-preserving authentication using biometric data, such as fingerprints or iris scans. …”
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Efficient Deep Learning-Based Cyber-Attack Detection for Internet of Medical Things Devices by Abigail Judith, G. Jaspher W. Kathrine, Salaja Silas, Andrew J

“…However, it comes with privacy issues that compromise the security of the data collected by medical sensors, making them vulnerable to potential cyber threats such as data modification, replay attacks, etc. …”
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Overview of Modern Technologies for Acquiring and Analysing Acoustic Information Based on AI and IoT by Sabina Szymoniak, Łukasz Kuczyński

“…In recent years, using sound as a source of information in environmental monitoring systems has become increasingly important. …”
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Research on intrusion detection method for edge networks based on federated reinforcement learning by DING Kai, HUANG Yidu, TAO Ming, XIE Renping

“…However, as public awareness of privacy grows, many datasets are no longer shared, leading to the emergence of data silos, which hinders the improvement of IoT security. …”
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