De-identification of Emergency Medical Records in French: Survey and Comparison of State-of-the-Art Automated Systems by Loick Bourdois, Marta Avalos, Gabrielle Chenais, Frantz Thiessard, Philippe Revel, Cedric Gil-Jardine, Emmanuel Lagarde

“…For visits motivated by a traumatic event, information on the causes are stored in free-text clinical notes. To exploit these data, an automated de-identification system guaranteeing protection of privacy is required. …”
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Teaching postsecondary students about the ethics of artificial intelligence: A scoping review protocol. by Calvin Hillis, Maushumi Bhattacharjee, Batool AlMousawi, Tarik Eltanahy, Sara Ono, Marcus Hui, Ba' Pham, Michelle Swab, Gordon V Cormack, Maura R Grossman, Ebrahim Bagheri, Zack Marshall

“…The field of AI carries inherent risks such as algorithmic biases, security vulnerabilities, and ethical concerns related to privacy and data protection. Despite these risks, AI holds significant promise for social good, with applications ranging from improved healthcare diagnostics to enhanced education strategies. …”
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Blockchain-Based Incentive Mechanism for Electronic Medical Record Sharing Platform: An Evolutionary Game Approach by Dexin Zhu, Yuanbo Li, Zhiqiang Zhou, Zilong Zhao, Lingze Kong, Jianan Wu, Jian Zhao, Jun Zheng

“…This system considers the potential malicious behaviors of both users and research institutions, encouraging research institutions to protect users’ privacy, reduce users’ concerns, and guide users to actively contribute data. …”
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A Biologically Inspired Trust Model for Open Multi-Agent Systems That Is Resilient to Rapid Performance Fluctuations by Zoi Lygizou, Dimitris Kalles

“…However, existing trust models face challenges such as agent mobility, which causes agents to lose accumulated trust when moving across networks; changing behaviors, where previously reliable agents may degrade over time; and the cold start problem, which hinders the evaluation of newly introduced agents due to a lack of prior data. To address these issues, we introduced a biologically inspired trust model in which trustees assess their own capabilities and store trust data locally. …”
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The Role of Artificial Intelligence in Boosting Cybersecurity and Trusted Embedded Systems Performance: A Systematic Review on Current and Future Trends by Ahmed Oun, Kaden Wince, Xiangyi Cheng

“…The key findings of our review indicate that AI significantly enhances security measures by enabling capabilities such as detection, classification, feature selection, data privacy preservation, model combination, data generation, output interpretation, optimization, and adaptation. …”
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Blockchain-Based, Dynamic Attribute-Based Access Control for Smart Home Energy Systems by Urooj Waheed, Sadiq Ali Khan, Muhammad Masud, Huma Jamshed, Touqeer Ahmed Jumani, Najeeb Ur Rehman Malik

“…The literature reveals numerous cases of cyberattacks on IoT-based energy infrastructures, primarily involving unauthorized access, data breaches, and device exploitation. Therefore, designing a robust ecosystem with secure and efficient access control (AC), while safeguarding user functionality and privacy, is essential. …”
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Exclusive breastfeeding practices and factors affecting them in urban areas of Uttar Pradesh by Prakhar Sharma, Neha Bansal, Abha Kaul

“…Data analysis was performed using Statistical Package for Social Sciences, including descriptive statistics and the Chi-square test for categorical variables (P < 0.05). …”
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Empowerment in structures. Practical-ethical considerations of the preconditions for technology-assisted dementia care in Germany based on an expert-interview study by Johannes Welsch, Silke Schicktanz

“…Thematic content analysis was used to analyze the data.FindingsThe experts’ assessments of the current preconditions for TADC in Germany were starkly ambivalent. …”
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Artificial intelligence knowledge, attitudes and application perspectives of undergraduate and specialty students of faculty of dentistry in Turkey: an online survey research by Cemile Yılmaz, Rahime Zeynep Erdem, Latife Altınok Uygun

“…Statistical analysis was performed using IBM SPSS version 26.0, with quantitative data presented as mean ± standard deviation and categorical data as frequency (percentage). …”
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Benchmarking Accelerometer and CNN-Based Vision Systems for Sleep Posture Classification in Healthcare Applications by Minh Long Hoang, Guido Matrella, Dalila Giannetto, Paolo Craparo, Paolo Ciampolini

“…The results demonstrate that while image-based models are effective, accelerometer-based classification offers higher precision and robustness, particularly in real-time and privacy-sensitive scenarios. Further comparisons of the system characteristics, data size, and training time are also carried out to offer crucial insights for selecting the appropriate technology in clinical, in-home, or embedded healthcare monitoring applications.…”
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A secured remote patient monitoring framework for IoMT ecosystems by Pronaya Bhattacharya, Anwesha Mukherjee, Bharat Bhushan, Shashi Kant Gupta, Thippa Reddy Gadekallu, Zhu Zhu

“…There is a need for real-time IoMT computing closer to the dew, with secured and privacy-enabled access to healthcare data. To address this, we propose the DeW-IoMT framework, which includes a dew layer in the roof-fog-cloud systems. …”
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A review of machine learning and internet-of-things on the water quality assessment: Methods, applications and future trends by Gangani Dharmarathne, A.M.S.R. Abekoon, Madhusha Bogahawaththa, Janaka Alawatugoda, D.P.P. Meddage

“…While IoT significantly improves real-time contamination detection, persistent challenges remain in sensor fouling, data continuity, data privacy, network reliability, and cybersecurity. …”
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Machine Learning-Based Blockchain Technology for Secure V2X Communication: Open Challenges and Solutions by Yonas Teweldemedhin Gebrezgiher, Sekione Reward Jeremiah, Xianjun Deng, Jong Hyuk Park

“…However, as V2X communication becomes more widespread, it becomes a prime target for adversarial and persistent cyberattacks, posing significant threats to the security and privacy of CAVs. These challenges are compounded by the dynamic nature of vehicular networks and the stringent requirements for real-time data processing and decision-making. …”
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Smart governance for smart cities and nations by Z.R.M. Abdullah Kaiser

“…Among these, stakeholders particularly emphasize the need for administrative reform, robust smart infrastructure, finance, uninterrupted electricity, strong data privacy and security, and effective big data management as crucial to the success of the country's vision. …”
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Obstetric Caregivers’ Perspectives on Barriers and Perceived Impacts of Male Involvement in Antenatal Care and Labour in Ekiti State, Nigeria: A Qualitative Study by Adetunmise Olajide, Deborah Esan, Ilerioluwa Adeniyi, Carlos Ramos

“…Twelve obstetric caregivers (six doctors and six midwives) were purposivelyselected based on their experience in ANC and labour care. Data were collected through two focusgroup discussions using a semi-structured interview guide. …”
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Workflow for Conflict and Reinforcement Identification Based on STPA and STRIDE by Andrei Carniel, Juliana de Melo Bezerra, Celso Massaki Hirata

“…First, requirements identification is generally made using methods of specific concern, e.g. safety, cybersecurity, data privacy, and business, and it does not consider concerns jointly. …”
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Call for regulation of social media health content: an initiative of the Italian Association of Hospital Dermatologists (ADOI) by Fortunato Cassalia, Andrea Danese, Carmine D'Acunto, Antonio Russo, Corrado Zengarini, Ignazio Stanganelli, Francesco Cusano, Fabrizio Fantini, Salvatore Amato, Davide Melandri, Cesare Massone, Anna Belloni Fortina

“…In response to these challenges, the Italian Association of Hospital Dermatologists (ADOI) has launched a nationwide survey titled "Use of Social Media by Dermatology Professionals: Impact on Public Awareness, Appropriateness of Information, and Correctness of Prevention Messages—An Italian Survey". …”
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Large Language Models in Medical Diagnostics: Scoping Review With Bibliometric Analysis by Hankun Su, Yuanyuan Sun, Ruiting Li, Aozhe Zhang, Yuemeng Yang, Fen Xiao, Zhiying Duan, Jingjing Chen, Qin Hu, Tianli Yang, Bin Xu, Qiong Zhang, Jing Zhao, Yanping Li, Hui Li

“…ObjectiveThis scoping review aimed to provide an overview of the current state of research regarding the use of LLMs in medical diagnostics. The study sought to answer four primary subquestions, as follows: (1) Which LLMs are commonly used? …”
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Birth companion satisfaction for the usage of Maathru Samman Pants while attending labor of their pregnant women as an initiative of respectful maternity care: A mixed method study by B Venkatashiva Reddy, Pulla Sirisha, Madhur Verma, Priti Gupta, Rakesh Kakkar, Star Pala, Wansalan Karu Shullai

“…The overall usefulness of MSP was rated very highly, with an average score of 4.77 ± 0.54. …”
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Effectiveness of physical therapy in addition to occlusal splint in myogenic temporomandibular disorders: protocol of a randomised controlled trial by Cristina Incorvati, Antonio Romeo, Adele Fabrizi, Luca Defila, Carla Vanti, Maria Rosaria Antonella Gatto, Claudio Marchetti, Paolo Pillastrini

“…Pursuant to applicable rules,we will obtain informed consent from each participant and collect data anonymously to maintain privacy. Results will be disseminated to clinicians and researchers through peer-reviewed publications and conferences.Trial registration number NCT03726060…”
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