CLOUD COMPUTING SECURITY by Ştefan IOVAN, Alina Anabela IOVAN

“…There is also a third type, called hibrid in which case an user or an organization might use both services available in the public and private cloud. …”
Get full text

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. …”
Get full text

Exploring the Knowledge and Utilization of Video-Based Surgical Learning Among Medical Students in a Teaching Hospital in Nigeria: A Mixed-Methods Study by Asogun Daniel, Akhaine Jesu-Oboh Precious, Sulymon A. Saka, Vivian Oghobaghase, Ojeh-Oziegbe Oseyomon, Francis Ufuah, Adomi Solomon

“…Quantitative data were analyzed using SPSS version 21 for descriptive statistics, while thematic coding was applied to qualitative data using NVivo. …”
Get full text

From assistance to integrity: exploring the role of AI in academic communication across Russian and Turkish campuses by Olga V. Sergeeva, Marina R. Zheltukhina, Servet Demir

“…Turkish students exhibited a predominantly favorable outlook toward the collaborative capabilities of AI, but Russian students placed greater emphasis on apprehensions over privacy and data security.DiscussionThe study highlights the complex interplay between the benefits and challenges of AI in educational environments. …”
Get full text

Distributed Photovoltaic Short-Term Power Prediction Based on Personalized Federated Multi-Task Learning by Wenxiang Luo, Yang Shen, Zewen Li, Fangming Deng

“…The federal learning framework is used to enhance the privacy of photovoltaic data and improve the model’s performance in a distributed environment. …”
Get full text

Advanced Deep Learning Algorithms for Energy Optimization of Smart Cities by Izabela Rojek, Dariusz Mikołajewski, Krzysztof Galas, Adrianna Piszcz

“…Federated learning ensures privacy-preserving data sharing in distributed energy systems, promoting collaboration without compromising security. …”
Get full text

Feasibility of a computerized clinical decision support system delivered via a socially assistive robot during grand rounds: A pilot study by Valentino Šafran, Urška Smrke, Bojan Ilijevec, Samo Horvat, Vojko Flis, Nejc Plohl, Izidor Mlakar

“…Background Adopting Clinical Decision Support Systems in healthcare faces challenges such as complexity, poor integration with workflows, and concerns about data privacy and quality. Issues such as too many alerts, confusing errors, and difficulty using the technology in front of patients make adoption challenging and prevent it from fitting into daily workflows. …”
Get full text

A Meta-Reinforcement Learning-Based Poisoning Attack Framework Against Federated Learning by Wei Zhou, Donglai Zhang, Hongjie Wang, Jinliang Li, Mingjian Jiang

“…As a distributed machine learning paradigm, federated learning enables clients to collaboratively train a global model without sharing their raw data, thus preserving data privacy while still utilizing the data. …”
Get full text

Development of the ethical behavior scale in nursing by Şükriye Şahin, Şule Alpar

“…Qualitative data was obtained through in-depth interviews. Quantitative data were collected using the Ethical Behavior Scale in Nursing (EBSN). …”
Get full text

Cloud Resilience: A Comprehensive Review of Infrastructure-as-a-Service Security Issues by Chopde Nitin, Raut Atul, Chaudhari Shrikant, Shelokar Yogesh, Yawale Pratik

“…The research paper examines IaaS security challenges, including shared responsibility models, data privacy, identity management, and multi-tenancy implications. …”
Get full text

Role of Artificial Intelligence in Dentistry by V. Hysenaj-Cakolli, B. Kolgeci, V. Hysenaj-Hoxha, D. Kolgeci

“…Dental professionals require specialized training, many regions lack access to advanced AI technology, and patient data privacy raises ethical concerns. While AI holds great potential, it should complement human expertise rather than replace it. …”
Get full text

Covid-19 and Technological Disruption in Health Care Delivery in England by Louise Dalingwater

“…There is also an increased privacy risk when health data is digitalised. There are thus significant governance and infrastructure issues in the delivery of health care via digital devices, which this paper will explore. …”
Get full text

Evaluation of a piloted digital reproductive health registry in Jordan to improve mother and child health by Mirwais Amiri, Majd Al-Soukhni, Manal Tahtamouni, Mohannad Al Nsour

“…Conclusion The new hRHR has a high acceptance level among stakeholders, health providers and women using MCH services. The evaluation showed that the system improved documentation of data, decreased time, and effort of data reporting and retrieval, and improved access to patient data.…”
Get full text

Application progress of artificial intelligence in managing thyroid disease by Qing Lu, Yu Wu, Jing Chang, Li Zhang, Qing Lv, Hui Sun

“…Despite the broad prospects of AI applications, challenges related to data privacy, model interpretability, and clinical applicability remain. …”
Get full text

Machine learning for post-diploma educational and career guidance: a scoping review in AI-driven decision support systems by Flavio Manganello, Elisa Rasca, Alberto Villa, Andrea Maddalena, Giannangelo Boccuzzi

“…This scoping review maps the application of ML in post-diploma guidance by examining the types of models used, data sources, reported outcomes, and ethical considerations related to fairness, privacy, and transparency. …”
Get full text

Implementing Electronic Health Records in Philippine Primary Care Settings: Mixed-Methods Pilot Study by Anton Elepaño, Carol Stephanie Tan-Lim, Mark Anthony Javelosa, Regine Ynez De Mesa, Mia Rey, Josephine Sanchez, Leonila Dans, Antonio Miguel Dans

“…The primary outcome was behavioral intention to use the system. Quantitative data were supplemented by inductive content analysis of qualitative responses to explain observed trends. …”
Get full text

A scoping review of the governance of federated learning in healthcare by Rebekah Eden, Ignatius Chukwudi, Chris Bain, Sebastiano Barbieri, Leonie Callaway, Susan de Jersey, Yasmeen George, Alain-Dominique Gorse, Michael Lawley, Peter Marendy, Steven M. McPhail, Anthony Nguyen, Mahnaz Samadbeik, Clair Sullivan

“…Abstract In healthcare, federated learning (FL) is emerging as a methodology to enable the analysis of large and disparate datasets while allowing custodians to retain sovereignty. While FL minimises data-sharing challenges, concerns surrounding ethics, privacy, maleficent use, and harm remain. …”
Get full text

Human-machine in the vortex of digital synergy by Vaclav Moravec, Beata Gavurova, Nik Hynek, Martin Rigelsky

“…Using data from 1232 respondents (aged 15+), collected via a quota-based online survey from April 8 to April 26, 2024, logistic regression analyses investigated two key questions: (1) Does increased use of virtual assistants correlate with a higher likelihood of ChatGPT adoption? …”
Get full text

SEF: A Secure, Efficient, and Flexible Range Query Scheme in Two-Tiered Sensor Networks by Jiajun Bu, Mingjian Yin, Daojing He, Feng Xia, Chun Chen

“…To the best of our knowledge, this paper is the first to use the characteristic of NAND flash to achieve high storage utilization and query processing efficiency. …”
Get full text

Generative AI as Third Agent: Large Language Models and the Transformation of the Clinician-Patient Relationship by Hugo de O Campos, Daniel Wolfe, Hongzhou Luan, Ida Sim

“…While affirming LLMs as a tool enabling the rise of the “AI patient,” we also explore concerns surrounding data privacy, algorithmic bias, moral injury, and the erosion of human connection. …”
Get full text