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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GLOBE Observer: A Case Study in Advancing Earth System Knowledge with AI-Powered Citizen Science by Peder V. Nelson, Russanne Low, Holli Kohl, David Overoye, Di Yang, Xiao Huang, Sriram Chellappan, Farhat Binte Azam, Ryan M. Carney, Monika Falk, Joan Garriga, Larisa Schelkin, Rebecca Boger, Theresa Schwerin

“…GLOBE citizen science data has been used to develop automated data classification routines that enable information discovery of mosquito larvae and land cover labels. …”
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Artificial intelligence in early warning systems for infectious disease surveillance: a systematic review by Ismael Villanueva-Miranda, Guanghua Xiao, Guanghua Xiao, Yang Xie, Yang Xie

“…After screening 600 records and removing duplicates and non-relevant articles, the search yielded 67 relevant studies for review.ResultsKey findings reveal the prevalent use of machine learning (ML), deep learning (DL), and natural language processing (NLP), which often integrate diverse data sources (e.g., epidemiological, web, climate, wastewater). …”
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Trustworthy AI and Federated Learning for Intrusion Detection in 6G-Connected Smart Buildings by Rosario G. Garroppo, Pietro Giuseppe Giardina, Giada Landi, Marco Ruta

“…Collaborative training across multiple cooperative smart buildings enables model development without direct data sharing, ensuring privacy by design. Furthermore, the design of the proposed method considers three key principles: sustainability, adaptability, and trustworthiness. …”
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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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Developing an Ontology to Enhance Semantic Interoperability in IoT Environment by Maria Cornejo-Lupa, Ana Aguilera, Irvin Dongo

“…This study proposes the development of an enhanced ontology that integrates different ontologies in the IoT domain, including key aspects such as interoperability, security, privacy, energy efficiency, and ethics. A formal methodology for ontology design and construction was used in four phases: ontology requirements, design, construction, and evaluation. …”
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When and Why Adults Abandon Lifestyle Behavior and Mental Health Mobile Apps: Scoping Review by Patrick G Kidman, Rachel G Curtis, Amanda Watson, Carol A Maher

“…ObjectiveWe explored the abandonment of apps used for managing physical activity, diet, alcohol, smoking, and mental health in free-living conditions, examining the duration of app use before abandonment and the underlying reasons. …”
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SA-FLIDS: secure and authenticated federated learning-based intelligent network intrusion detection system for smart healthcare by Radjaa Bensaid, Nabila Labraoui, Ado Adamou Abba Ari, Hafida Saidi, Joel Herve Mboussam Emati, Leandros Maglaras

“…We leverage the blockchain-based Self-Sovereign Identity (SSI) model to handle client authentication and secure communication. Additionally, we use the Trimmed Mean method to aggregate data. This helps reduce the effect of unusual or malicious inputs when creating the overall model. …”
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IoT-enabled real-time health monitoring system for adolescent physical rehabilitation by Jie Yang, Juanjuan Hu, Wenrui Chen

“…To evaluate the system’s performance, experiments were conducted to assess motion pattern recognition accuracy, response time, real-time analysis capabilities, and system stability and capacity. The methods we use and the data we collect are from public datasets, do not involve privacy protection for adolescents, and have been approved by the institutional ethics committee. …”
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Navigating the digital transformation: industry 4.0's role in modern healthcare by Phonchai Thongwichian

“…Key findings include the prevalent use of data analytics and AI in enhancing patient care and operational efficiencies, and the emerging challenges related to data privacy and ethical considerations. …”
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Development of Energy Demand Profile Based on Non-Historical and Non-Energy Variables: A Headquarters’ Offices Case Study by Juliana Cruz, Isabel Lasierra, Yassine Rqiq, Víctor Ballestín

“…Under the Positive Energy Districts framework, cities authorities must be informed of the energy demand of districts to design tailor-made policies and strategies to promote the deployment of energy efficiency, sharing and transition actions. However, the diverse data sources and long procedures to collect data because of privacy permissions may result in a slow-down of the development of these roadmaps. …”
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Development of a remote therapeutic monitoring platform: applications for movement disorders by Sreetharan Thankathuraipandian, Walter Greenleaf, Anahita Kyani, Tucker Tomlinson, Binesh Balasingh, Erika Ross, Yagna Pathak

“…Through an investigational remote monitoring application (RM app) integrating patient-reported outcomes (PROs) and objective data using wearables, we aimed to develop an accessible, data-driven digital tool to monitor patient symptoms and deliver low-burden and easy-to-access DBS therapy. …”
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ADVANCE AND DEVELOPMENT OF CHAOTIC OPTICAL COMMUNICATIONS: A REVIEW by Mohamed Khudhair Al-Gburi, Ibrahim A. Murdas

“…Chaotic optical communication is a hopeful technique for improving the privacy and security of communications networks. It uses synchronized chaotic emitters and receiver lasers for encoding and decoding the data at the hardware level. …”
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MedBlockSure: Blockchain‐based insurance system by Charu Krishna, Divya Kumar, Dharmender Singh Kushwaha

“…The conceptual view of the proposed system using sequence and use case diagrams and data management framework and smart claim processing system is demonstrated.…”
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When AI Joins the scope: Canadian endoscopists’ perceptions of NodeAI versus conventional methods for identifying lymph node malignancies in EBUS imaging. by Ria Datta

“…The baseline and endline surveys measured shifts in opinions regarding NodeAI's usability in diagnostic accuracy, procedure time, and ease of use. Qualitative insights were gathered through open-ended questions during the focus group to explore clinicians' views on AI's potential role, while quantitative data was captured using scales/ratings. …”
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Evaluation and performance comparison of a model for adoption of biometrics in online banking by Norah AlJanahi, Mostafa Abd-El-Barr, Kalim Qureshi

“…A total of 500 invitations were sent and 302 valid responses were received. The data was analysed using SPSS software tool, version 22. …”
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Spiking Residual ShuffleNet-Based Intrusion Detection in IoT Environment by Sneha Leela Jacob, H. Parveen Sultana

“…The input data is normalized using Z-score normalization (ZN). …”
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Any Bluetooth device can be hacked. Know how? by Prathibha Muraleedhara, Mary Subaja Christo, Jaya J, Yuvasini  D

“…Followed by a list of security risks involved while using Bluetooth and finally, it highlights the best practices to protect the devices and the data they contain.…”
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Work process of community health workers in the context of digital health: a non-participant observation study by Romário Correia dos Santos, Lenira Ferreira Ribeiro, Cláudia Fell Amado, Lívia Milena Barbosa de Deus e Méllo, Liliana Santos

“…The results point to advantages for the work of the CHW, such as expanding access to health and communication between the team and users, agility in data collection and qualification of care; Disadvantages also emerged in the scenario of using digital technologies, such as delays in replacing damaged instruments, loss of workers’ privacy and precarious working conditions. …”
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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. …”
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