Computer-assisted diagnosis to improve diagnostic pathology: A review by Alessandro Caputo, Elisabetta Maffei, Nalini Gupta, Luca Cima, Francesco Merolla, Giorgio Cazzaniga, Pietro Pepe, Paolo Verze, Filippo Fraggetta

“…It emphasizes the strides made in digital pathology, the integration of AI, and the promising prospects for prognostic biomarker discovery using computational methods. Additionally, ethical considerations regarding data privacy, equity, and trust in AI deployment are examined. …”
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Quantifying participant distress: Validity and applicability of a distress measure to evaluate harm in quantitative assessments. by Jess MacArthur, Ratan Budhathoki, Min Prasad Basnet, Ambika Yadav, Sabitra Dhakal, Juliet Willetts

“…To support ethical considerations in quantitative survey deployment, we introduce a four-item formative measure to analyze interview ease, stress, privacy, and comprehension. We present the measure's conceptual and empirical development and examine the validity of the measure through data from Cambodia and Nepal (n = 4,674) using Partial Least Squares Structural Equation Modeling (PLS-SEM) for formative measurement model assessment. …”
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Advancing Biomedical Engineering With Artificial Intelligence and Machine Learning: A Systematic Review by Abebe Belay Adege

“…Also, it reflects on how ethics in AI and ML for biomedical challenges address important issues such as bias, privacy, and accountability. It also underlines how different opportunities and challenges can be opened or addressed by the integration of AI-driven systems in biomedical workflows: engineering, clinicians, and data scientists have to cooperate. …”
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The Future of Artificial Intelligence in Interactive Learning: Trends, Challenges, Opportunities by Teguh Hidayat Iskandar Alam, Ika Safitri Windiarti

“…In addition, the study identifies the social, economic, and cultural impacts of AI adoption, and provides recommendations to mitigate challenges, such as data privacy and technology access. By providing new insights into future trends in AI in education, this study offers a basis for developing innovative and sustainable education policies and practices to meet global needs.…”
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Overreporting and Investigation in the New York City Child Welfare System: A Child’s Perspective by Daniella Rohr, Melissa Friedman

“…This piece argues that ACS’ investigative apparatus not only harms more children than it protects, but the tactics it employs violate the state and federal constitutional rights of children and their families. Using ACS’ own statistics, this piece demonstrates that New York unnecessarily investigates far too many, primarily Black and brown families; examines the harmful, and often unlawful reporting and investigation process in New York City; and enumerates reforms critical to protect both the safety and privacy rights of New York City’s children and families. …”
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The Impact of Artificial Intelligence (AI) on Students’ Academic Development by Aniella Mihaela Vieriu, Gabriel Petrea

“…However, challenges such as over-reliance on AI, diminished critical thinking skills, data privacy risks, and academic dishonesty were also identified. …”
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An efficient ECC and fuzzy verifier based user authentication protocol for IoT enabled WSNs by T. Sudhakar, R. Praveen, V. Natarajan

“…Ensuring integrity and privacy of data while transmitting it from sensors to the data analytics servers is crucial in open network. …”
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Efficient Elliptic-Curve-Cryptography-Based Anonymous Authentication for Internet of Things: Tailored Protocols for Periodic and Remote Control Traffic Patterns by Shunfang Hu, Yuanyuan Zhang, Yanru Guo, Yanru Chen, Liangyin Chen

“…IoT-based applications require effective anonymous authentication and key agreement (AKA) protocols to secure data and protect user privacy due to open communication channels and sensitive data. …”
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Prospective Applications of Artificial Intelligence In Fetal Medicine: A Scoping Review of Recent Updates by Miskeen E, Alfaifi J, Alhuian DM, Alghamdi M, Alharthi MH, Alshahrani NA, Alosaimi G, Alshomrani RA, Hajlaa AM, Khair NM, Almuawi AM, Al-Jaber KH, Elrasheed FE, Elhassan K, Abbas M

“…Despite these advancements, challenges related to the ethical use of AI, data privacy, and the need for extensive validation of AI tools in diverse populations were noted.Conclusion: The potential benefits of AI in fetal medicine are immense, offering a brighter future for our field. …”
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Transforming higher education with robotic process automation: enhancing efficiency, innovation, and student-centered learning by Vivek Bhardwaj, Mukesh Kumar

“…Inclusion criteria focused on studies published between 2020 and 2024 that addressed RPA applications in education. Data analysis was conducted using thematic synthesis to identify key trends across the selected studies.…”
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A Netnographic Analysis of ChatGPT Usage in Technology Forums in The Context of Society 5.0 by Serdar Pirtini, Songül Bilgili Sülük

“…However, users also expressed notable concerns about issues such as data security, privacy, and ethical considerations, underlining the dual nature of its societal impact. …”
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ChatGPT in orthodontics: limitations and possibilities by Lima Nara Grazieli Martins, Costa Lavínia, Santos Patrícia Bittencourt

“…ChatGPT sometimes produces nonsensical responses and poses privacy risks associated with patient data. Generated medical advice might not therefore match professional expertise. …”
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Acceptability of Guided Symptom Entry and Asynchronous Clinical Communication Software Among Primary Care Staff: Qualitative Study by Riina Raudne, Taavi Tillmann

“…The software was reported to satisfy perceived feature needs for patient verification, privacy and data security, editable plain-language symptom summaries of symptoms, and integration with prewritten response templates (particularly for staff who were nonnative speakers). …”
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Dimensions related to telemedicine and telehealth competencies of health professionals: A scoping review by Jacqueline Ibarra-Peso, Marcela Hechenleitner-Carvallo, Carlos Zúñiga-San Martín, Angelica Avendaño-Veloso, Eileen Sepúlveda-Valenzuela

“…Introduction Telehealth and telemedicine have proven to be useful in complementing face-to-face care, especially when long distances exist or when it is difficult to access specialists. …”
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Implementing a chatbot to promote hereditary breast & ovarian cancer genetic screening in women’s health: identifying barriers and facilitators to screening adoption by Easton N. Wollney, Shireen Madani Sims, Luisel J. Ricks-Santi, Elizabeth Eddy, Daniel Wiesman, Carla L. Fisher

“…Findings illustrate how each factor functioned as a facilitator and/or barrier in women’s uptake (e.g., technology being trusted for accuracy versus concerns for data privacy and security). Conclusions While chatbots can extend women’s cancer risk screening access, particularly in rural regions and with college-educated women, systems-level (cost) and individual-level factors (perceived risk, misconceptions about repeating genetic testing) should be addressed to promote adoption. …”
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Trusted execution environments for quantum computers by Theodoros Trochatos, Chuanqi Xu, Sanjay Deshpande, Yao Lu, Yongshan Ding, Jakub Szefer, Jakub Szefer

“…The cloud-based environments in which today's and future quantum computers will operate raise concerns about the security and privacy of user's intellectual property, whether code, or data, or both. …”
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Integrating artificial intelligence in drug discovery and early drug development: a transformative approach by Alberto Ocana, Atanasio Pandiella, Cristian Privat, Iván Bravo, Miguel Luengo-Oroz, Eitan Amir, Balazs Gyorffy

“…Ethical and regulatory issues, such as data privacy, also challenge the implementation of AI. …”
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Advancing Pediatric Growth Assessment with Machine Learning: Overcoming Challenges in Early Diagnosis and Monitoring by Mauro Rodriguez-Marin, Luis Gustavo Orozco-Alatorre

“…Unlike complex machine learning models, it offers parsimony in transparency, efficiency, and reproducibility, making it ideal for clinical settings where explainable, data-driven decisions are essential. Methods: A logistic regression model was developed using R to analyze biometric and demographic data from a cross-sectional dataset, including real-world data from public institucions. …”
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Cross-Receiver Radio Frequency Fingerprint Identification: A Source-Free Adaptation Approach by Jian Yang, Shaoxian Zhu, Zhongyi Wen, Qiang Li

“…We propose a novel approach called contrastive source-free cross-receiver network (CSCNet), which employs contrastive learning to facilitate model adaptation using only unlabeled data from the deployed receiver. …”
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Blockchain-Based Mobile Edge Computing Framework for Secure Therapy Applications by MD. Abdur Rahman, M. Shamim Hossain, George Loukas, Elham Hassanain, Syed Sadiqur Rahman, Mohammed F. Alhamid, Mohsen Guizani

“…For security, the framework uses blockchain–Tor-based distributed transactions to preserve the therapeutic data privacy, ownership, generation, storage, and sharing. …”
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