Is Anonymization Through Discretization Reliable? Modeling Latent Probability Distributions for Ordinal Data as a Solution to the Small Sample Size Problem by Stefan Michael Stroka, Christian Heumann

“…The growing interest in data privacy and anonymization presents challenges, as traditional methods such as ordinal discretization often result in information loss by coarsening metric data. …”
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Perceptions of, Barriers to, and Facilitators of the Use of AI in Primary Care: Systematic Review of Qualitative Studies by Héctor Martínez-Martínez, Julia Martínez-Alfonso, Belén Sánchez-Rojo-Huertas, Valeria Reynolds-Cortez, Andrea Turégano-Chumillas, Victoria A Meseguer-Ruiz, Shkelzen Cekrezi, Vicente Martínez-Vizcaíno

“…We identified four analytical themes using thematic synthesis: (1) change in the physician-patient relationship, highlighting concerns about loss of empathy, connection, and trust; (2) AI as a partner for efficient time and information management, including its potential to improve workflow and decision-making, alongside skepticism about increased workload; (3) data as the cornerstone of AI development, reflecting concerns about data privacy, quality, bias, and corporate responsibility; and (4) barriers to and facilitators of AI in primary care, emphasizing equity, accessibility, and stakeholder co-design. …”
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Social media and internet use among orthopedic patients in Germany—a multicenter survey by Yasmin Youssef, Tu-Lan Vu-Han, Tu-Lan Vu-Han, Richard Trauth, Georg Osterhoff, David Alexander Back, Tobias Gehlen, Tobias Gehlen

“…There is limited data regarding which SM orthopedic patients use and what benefits and risks of SM they perceive.MethodsAn online survey was conducted from April to December 2023 among orthopedic and trauma patients in five German orthopedic clinics. …”
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Consumer opinion on the use of machine learning in healthcare settings: A qualitative systematic review by Jacqueline H Stephens, Celine Northcott, Brianna F Poirier, Trent Lewis

“…The meta-synthesis identified four overarching themes across the included studies: (1) Trust, fear, and uncertainty; (2) Data privacy and ML governance; (3) Impact on healthcare delivery and access; and (4) Consumers want to be engaged. …”
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Healthcare provision for displaced people in transit: Analyses of routinely collected data from INTERSOS clinics at the Ukrainian border with Moldova and Poland by Saleh Aljadeeah, Seyed-Moeen Hosseinalipour, Nataliia Khanyk, Eszter Szocs, Aliki Traianou, Ana Tomas, Chrysanthi Tatsi, Elżbieta Czapka, Alessandro Verona, Tessa van Boekholt, Ion Chesov, Apostolos Veizis

“…Results: This study used routinely collected data from 1756 patients. …”
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Policy guidelines and recommendations on AI use in teaching and learning: A meta-synthesis study by Aaron A. Funa, Renz Alvin E. Gabay

“…Under the theme of policies and guidelines, notable subthemes include ethical AI use, AI literacy, and inclusivity and equity. In terms of implementation strategies, the synthesis identifies crucial areas such as student orientation and professional development, enhanced teaching tools and data-driven insights, improved student learning outcomes and engagement, and streamlined administrative processes. …”
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Balancing risks and benefits: clinicians’ perspectives on the use of generative AI chatbots in mental healthcare by Lyndsey Hipgrave, Jessie Goldie, Simon Dennis, Simon Dennis, Amanda Coleman

“…However, they also identified risks, including the lack of regulation, data and privacy concerns, chatbots' limited understanding of client backgrounds, potential for client over-reliance on chatbots, incorrect treatment recommendations, and the inability to detect subtle communication cues, such as tone and eye contact. …”
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What patients and caregivers want to know when consenting to the use of digital behavioral markers by Anika Sonig, Christine Deeney, Meghan E. Hurley, Eric A. Storch, John Herrington, Gabriel Lázaro-Muñoz, Casey J. Zampella, Birkan Tunc, Julia Parish-Morris, Jenny Blumenthal-Barby, Kristin Kostick-Quenet

“…We observed seven key domains (in order of salience) in stakeholders’ informational needs: (1) clinical utility and value; (2) evidence, explainability, evaluation and contestation; (3) accuracy and trustworthiness; (4) data security, privacy, and misuse; (5) patient consent, control, and autonomy; (6) physician-patient relationship; and (7) patient safety, well-being, and dignity. …”
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Assessing the Guidelines on the Use of Generative Artificial Intelligence Tools in Universities: A Survey of the World’s Top 50 Universities by Midrar Ullah, Salman Bin Naeem, Maged N. Kamel Boulos

“…These instructions encompassed securing instructor consent before utilization, identifying appropriate and inappropriate instances for deployment, employing suitable strategies in classroom settings and assessment, appropriately integrating results, acknowledging and crediting GenAI tools, and adhering to data privacy and security measures. However, our study found that only a small number of the retrieved guidelines offered instructions on the AI algorithm (understanding how it works), the documentation of prompts and outputs, AI detection tools, and mechanisms for reporting misconduct. …”
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COVID-19 detection using federated machine learning. by Mustafa Abdul Salam, Sanaa Taha, Mohamed Ramadan

“…AI plays an essential role in COVID-19 case classification as we can apply machine learning models on COVID-19 case data to predict infectious cases and recovery rates using chest x-ray. …”
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Emotional Design of Interior Spaces: Exploring Challenges and Opportunities by Liang Rui, Muhammad Firzan

“…For this purpose, the data is gathered in two phases. In phase I, semi-structured interviews were utilized to collect data from 5 interior designers. …”
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Exploring Current Practices and Challenges of HIPAA Compliance in Software Engineering: Scoping Review by Farah Elkourdi, Chenhao Wei, LU Xiao, Zhongyuan YU, Onur Asan

“…Healthcare systems and applications are increasingly used to improve patient care. However, these applications face data security, privacy, and regulatory compliance challenges. …”
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Harnessing Moderate-Sized Language Models for Reliable Patient Data Deidentification in Emergency Department Records: Algorithm Development, Validation, and Implementation Study by Océane Dorémus, Dylan Russon, Benjamin Contrand, Ariel Guerra-Adames, Marta Avalos-Fernandez, Cédric Gil-Jardiné, Emmanuel Lagarde

“… Abstract BackgroundThe digitization of health care, facilitated by the adoption of electronic health records systems, has revolutionized data-driven medical research and patient care. While this digital transformation offers substantial benefits in health care efficiency and accessibility, it concurrently raises significant concerns over privacy and data security. …”
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Using Federated Learning for Collaborative Intrusion Detection Systems by Matteo Rizzato, Youssef Laarouchi, Christophe Geissler

“…Traditional implementations provide fast and accurate predictions, but require centralised storage of labelled historical data for training. This solution is not always suitable for real-world applications, where regulatory constraints and privacy concerns hamper the collection of sensitive data into a single server. …”
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Characterizing user mobility using mobile sensing systems by Sébastien Faye, Walter Bronzi, Ibrahim Tahirou, Thomas Engel

“…Furthermore, we detail the need to use methods that respect the privacy of users and investigate the possibilities offered by network traces, including Wi-Fi and Bluetooth communication technologies. …”
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Ethical Considerations for Using Artificial Intelligence in Digital Technologies by William Jorgensen, Matt Bjornsen, Rikke Carlsen

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FLPneXAINet: Federated deep learning and explainable AI for improved pneumonia prediction utilizing GAN-augmented chest X-ray data. by Shuvo Biswas, Rafid Mostafiz, Mohammad Shorif Uddin, Muhammad Shahin Uddin

“…Additionally, the need to protect patient privacy complicates the sharing of sensitive clinical data. …”
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Retrieval Integrity Verification and Multi-System Data Interoperability Mechanism of a Blockchain Oracle for Smart Healthcare with Internet of Things (IoT) Integration by Ziyuan Zhou, Long Chen, Yekang Zhao, Xinyi Yang, Zhaoyang Han, Zheng He

“…The mechanism uses the cuckoo filter technology to effectively reduce the computational complexity and ensures the authenticity and integrity of data transmission and use through data retrieval integrity verification. …”
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THE POSSIBILITY OF USING ELECTRONIC MEDICAL RECORDS FOR CLINICAL OBSERVATION by R. D. Kurbanov, R. Kh. Trigulova

“…Of course, there are problems and obstacles to expanding the use of EMC, and one of the solutions to these obstacles is to address issues of semantic compatibility, privacy, and security. …”
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Trends and pattern of contraceptive use among women attending a family planning clinic at a tertiary health facility in Ibadan, Nigeria by A. O. Atoyebi, S. O. Olaoye, M. A. Okunlola, M. E. Palamuleni, A. S. Adebowale

“…Data were analysed using a logistic regression model (α0.05), and thematic analysis was used for the qualitative part of the study. …”
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