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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Key challenges of launching national cryptocurrencies using extended FMEA under uncertainty environment by Zeynab Tghavi, Farid Ahmadi, Saeid Jafarzadeh Ghoushchi

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Scientific Evidence for Clinical Text Summarization Using Large Language Models: Scoping Review by Lydie Bednarczyk, Daniel Reichenpfader, Christophe Gaudet-Blavignac, Amon Kenna Ette, Jamil Zaghir, Yuanyuan Zheng, Adel Bensahla, Mina Bjelogrlic, Christian Lovis

“…ResultsA total of 30 original studies were included in the analysis. All used observational retrospective designs, mainly using real patient data (n=28, 93%). …”
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Behavioral Drivers Influencing Women’s Decision to Use Self-Injectable Contraception Provided by Community Health Surveillance Assistants in Rural Malawi by Martha Kamanga, Dilys Walker, Address Malata, Mandaachepa Nyando, Jessie Salamba, Alaizi Nkhoma, Innocencia Mtalimanja, Tamanda Jumbe, Emas Potolani, Alfred Maluwa, Chifundo Zimba, Josophine Changole, Rabecca Bika, Emily Himes, Lauren Suchman, Janelli Vallin, Beth Phillips, Jenny Liu, Kelsey Holt

“…Introduction: Self-injection (SI) for contraceptive use is recommended for its proven ability to empower women and overcome barriers to contraceptive access. …”
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Performance Evaluation and Analysis of LightCert4IoT Using Cooja-Contiki Simulator by David Khoury, Samir Haddad, Patrick Sondi, Gaby Abou Haidar, David Semaan, Jinane Sayah

“…Scalability, resource limitations, and privacy concerns are analyzed as IoT devices handle sensitive information, and the transparent and immutable nature of blockchain can raise data protection. …”
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A Hybrid Deep Learning Framework for Deepfake Detection Using Temporal and Spatial Features by Fazeel Zafar, Talha Ahmed Khan, Salas Akbar, Muhammad Talha Ubaid, Sameena Javaid, Kushsairy Abdul Kadir

“…To enhance the model’s adaptability, to different scenarios and datasets we implement data augmentation techniques such as CutMix, MixUp and Random Erasing. …”
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How do we measure the costs, benefits, and harms of sharing data from biomedical studies? A protocol for a scoping review [version 2; peer review: 2 approved] by Lauren Maxwell, Ankur Krishnan, Priya Shreedhar

“…In this scoping review, we will identify and summarize existing evidence on the positive and negative impacts and costs of data sharing and how they are measured. Methods and analysis Eligible studies will report on qualitative or quantitative approaches for measuring the cost of data sharing or its impact on participant privacy, individual or public health, researcher’s careers, clinical or public health practice, or research or development. …”
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Revolutionizing Education: Harnessing Machine Learning and Deep Learning for Digital Examination Transformation by Shilpi Gautam, Asadi Srinivasulu

“…Furthermore, substantial concerns revolve around data security and privacy. The digital examination process entails the collection and secure storage of sensitive student data, raising worries about potential data security breaches and violations of privacy. …”
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Template recovery attack on encrypted face recognition systems with unprotected decision using synthetic faces by Amina Bassit, Amina Bassit, Florian Hahn, Zohra Rezgui, Hatef Otroshi Shahreza, Hatef Otroshi Shahreza, Raymond Veldhuis, Raymond Veldhuis, Andreas Peter, Andreas Peter

“…Even without system access or training data, attackers can exploit leaked comparison scores to compromise facial privacy. …”
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Mental Health Classification Using Machine Learning with PCA and Logistics Regression Approaches for Decision Making by Hendra Hendra, Mustafa Mat Deris, Ika Safitri Windiarti

“…Additionally, privacy concerns heavily impact the management of mental health data. …”
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Enhancing Internet of Things security in healthcare using a blockchain-driven lightweight hashing system by Bassam W. Aboshosha, M. Mokhtar Zayed, Hany S. khalifa, Rabie A. Ramadan

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Product Engagement Detection Using Multi-Camera 3D Skeleton Reconstruction and Gaze Estimation by Matus Tanonwong, Yu Zhu, Naoya Chiba, Koichi Hashimoto

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Machine Learning for Human Activity Recognition: State-of-the-Art Techniques and Emerging Trends by Md Amran Hossen, Pg Emeroylariffion Abas

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Enhancing retinal disease diagnosis through AI: Evaluating performance, ethical considerations, and clinical implementation by Maryam Fatima, Praveen Pachauri, Wasim Akram, Mohd Parvez, Shadab Ahmad, Zeinebou Yahya

“…However, several studies highlighted concerns about algorithmic bias, data privacy, and the need for diverse and representative datasets to ensure generalizability across different populations. …”
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Standardized patient profile review using large language models for case adjudication in observational research by Martijn J. Schuemie, Anna Ostropolets, Aleh Zhuk, Uladzislau Korsik, Seung In Seo, Marc A. Suchard, George Hripcsak, Patrick B. Ryan

“…Abstract Using administrative claims and electronic health records for observational studies is common but challenging due to data limitations. …”
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Building a Comprehensive Trust Evaluation Model to Secure Cloud Services From Reputation Attacks by Salah T. Alshammari, Muna Al-Razgan, Taha Alfakih, Khalid A. AlGhamdi

“…A significant concern in the field of cloud computing is the security and confidentiality of data. A cryptographic access control technique can be used to guarantee data privacy, which prevents unauthorized access and allows only authorized users to access the data. …”
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CogTrack: A Proof of Concept for Cognition Tracker by Yesoda Bhargava, Kanthi Kumar Kattupalli, Veeky Baths

“…Additionally, we discuss how CogTrack may be advanced in the future and reflect on critical issues related to data privacy, confidentiality, ethics, scalability, and socio-medical factors which influence CogTrack adoption and acceptability. …”
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Innovation and Risk Avoidance of Smart Library Services Based on Generative Artificial Intelligence by Jia LIU

“…Technical risks include data security vulnerabilities and model bias, while ethical risks focus on the issues surrounding user privacy, misinformation, and intellectual property rights. …”
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Postgraduate Students Perception of Using Chatgpt in Clinical Management and Research: A Qualitative Exploratory Study by Muhammad Shah, Shimee Shahzadi, Shehzad Akbar Khan

“…RESULTS While ChatGPT saved research time, study participants reported that it also generated issues with data privacy and information accuracy. Power users felt the instrument was easier to use, although there was a range of comfort levels. …”
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The algorithmic consumer: A conceptual investigation of AI’s influence on consumer preferences and decisions by Annur Islam Sifat

“…By a thorough literature review and commentary, I critically analyzed the impact of AI’s personalization algorithm and addressed ethical implications in terms of potential bias, data privacy, and transparency. This paper establishes a conceptual framework to illustrate how AI technologies, including machine learning, natural language processing, and predictive analytics, intersect with facets of consumer psychology, allowing for personalization of experiences, market segmentation, and influencing behaviour in real time. …”
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