Diagnostic Applications of AI in Sports: A Comprehensive Review of Injury Risk Prediction Methods by Carmina Liana Musat, Claudiu Mereuta, Aurel Nechita, Dana Tutunaru, Andreea Elena Voipan, Daniel Voipan, Elena Mereuta, Tudor Vladimir Gurau, Gabriela Gurău, Luiza Camelia Nechita

“…This review also addresses critical issues such as data quality, ethical concerns, privacy, and the need for transparency in AI applications. …”
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Reinforcement learning based route optimization model to enhance energy efficiency in internet of vehicles by Quadeer Hussain, Ahmad Shukri Mohd Noor, Muhammad Mukhtar Qureshi, Jianqiang Li, Atta-ur Rahman, Aghiad Bakry, Tariq Mahmood, Amjad Rehman

“…However, some issues remain, like data protection, privacy, compatibility with other protocols and systems, and the availability of stable and continuous connections. …”
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Human-machine in the vortex of digital synergy by Vaclav Moravec, Beata Gavurova, Nik Hynek, Martin Rigelsky

“…Using data from 1232 respondents (aged 15+), collected via a quota-based online survey from April 8 to April 26, 2024, logistic regression analyses investigated two key questions: (1) Does increased use of virtual assistants correlate with a higher likelihood of ChatGPT adoption? …”
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Unveiling the Potential of Large Language Models in Transforming Chronic Disease Management: Mixed Methods Systematic Review by Caixia Li, Yina Zhao, Yang Bai, Baoquan Zhao, Yetunde Oluwafunmilayo Tola, Carmen WH Chan, Meifen Zhang, Xia Fu

“…A multifaceted approach that incorporates robust data security, domain-specific model fine-tuning, multimodal data integration, and wearables is crucial for the evolution of LLMs into invaluable adjuncts for health care professionals to transform chronic disease management. …”
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Users' Perceptions and Trust in AI in Direct-to-Consumer mHealth: Qualitative Interview Study by Katie Ryan, Justin Hogg, Max Kasun, Jane Paik Kim

“…Participants described attitudes toward the impact of AI-mHealth on users’ health and personal data (ie, influences on health awareness and management, value for mental vs physical health use cases, and the inevitability of data sharing), influences on their trust in AI-mHealth (ie, endorsements and guidance from health professionals or health or regulatory organizations, attitudes toward technology companies, and reasonable but not necessarily explainable output), and their preferences relating to the amount and type of information that is shared by AI-mHealth apps (ie, the types of data that are collected, future uses of user data, and the accessibility of information). …”
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New Image Crypto-Compression Scheme Based on Ecc and Chaos Theory for High-Speed and Reliable Transmission of Medical Images in the IOMT by Kinani Khadija El, Amounas Fatima, Bendaoud Salma, Azrour Mourade, Badiy Mohamed

“…Ensuring the security and privacy of medical data is crucial when integrating with smart and intelligent sensor devices within the hospital environment. …”
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Insights from platelet donors in tertiary care hospitals by Swapna Yalamanchili, Vijayashree Raghavan, Femela Muniraj, V. Mythily

“…Statistical Analysis: Data were analyzed using descriptive statistics and percentage analysis with SPSS version 23. …”
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Biometrically-independent fuzzy signatures: signing with biometrics without embedding them by Saki Otsuki, Haruna Higo, Toshiyuki Isshiki, Kengo Mori, Satoshi Obana, Hiroto Tamiya, Kenji Yasunaga

“…However, FS faces two significant privacy concerns. First, using biometric information as the signing key restricts users’ ability to manage multiple distinct keys for different applications. …”
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Postpartum women’s prospective acceptability of long-acting HIV prevention approaches in Kenya: a qualitative study by Tessa Concepcion, John Kinuthia, Felix Abuna, Eunita Akim, Helen Aketch, Laurén Gómez, Grace John-Stewart, Bih Moki Suh, Emmaculate M Nzove, Nancy Ngumbau, Jerusha N Mogaka, Sarah Obatsa, Ben O Odhiambo, Caroline Omom, Marin Strong, Anjuli D Wagner, Salphine Watoyi, Jillian Pintye

“…Inductive and deductive content analysis was used, and themes of acceptability were explored using the Theoretical Framework of Acceptability (TFA). …”
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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

“…Data extraction included details on LLM types, application domains, and performance metrics. …”
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The Efficacy of Conversational AI in Rectifying the Theory-of-Mind and Autonomy Biases: Comparative Analysis by Marcin Rządeczka, Anna Sterna, Julia Stolińska, Paulina Kaczyńska, Marcin Moskalewicz

“…Future research should focus on enhancing affective response mechanisms and addressing ethical concerns such as bias mitigation and data privacy to ensure safe, effective AI-based mental health support.…”
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Strengthening ethical oversight in genomics and biobanking: a retrospective analysis of research practices in Zimbabwe by Oppah Kuguyo, Alice Matimba, Florence Mutevedzi, Andrew Chimatira, Vasco Chikwasha, Abigail Kangwende, Lovemore Gwanzura, Paul Ndebele

“…Consent practices varied: 99(49.5%) protocols utilized specific consent, 37(18.5%) employed broad consent, and 37(18.5%) used blanket consent. Notably, 2(1%) protocols did not use consent forms, opting instead for broad or specific notifications. …”
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Socioculturally Appropriate Internet-Based Geriatric Care Model for Older Adults Living With HIV: Experience-Based Co-Design Approach by Kristina M Kokorelias, Marina B Wasilewski, Dean Valentine, Andrew D Eaton, Erica Dove, Paige Brown, Stuart McKinlay, Christine L Sheppard, Esther Su, Hardeep K Singh, Ashley Flanagan, Alice Zhabokritsky, Reham Abdelhalim, Rabea Parpia, Rahel Zewude, Laura Jamieson, Sharon Walmsley, Luxey Sirisegaram

“…The process involved 3 phases: identifying needs through interviews and questionnaires, codeveloping a care model prototype through focus groups and a workshop, and refining the model using feedback from a world café format. Data were analyzed using thematic content analysis. …”
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The Analysis of the Effective Factors on Urban Blight in District 3, Region 12, Tehran City by Hossein Mansourian, Ahmad Pour Ahmad, Hasan Ashouri

“…Materials and Methods This study is mostly based on the initial data resulted from surveying the households using a researcher-made questionnaire; however, the tools of the interview, observation, and the results obtained from the public censuses of population and housing are also used to achieve the required data and information. …”
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AI Impact on Hotel Guest Satisfaction via Tailor-Made Services: A Case Study of Serbia and Hungary by Ranko Makivić, Dragan Vukolić, Sonja Veljović, Minja Bolesnikov, Lóránt Dénes Dávid, Andrea Ivanišević, Mario Silić, Tamara Gajić

“…This study examines the level of implementation of artificial intelligence (AI) in the personalization of hotel services and its impact on guest satisfaction through an analysis of tourists’ attitudes and behaviors The focus of the research is on how personalized recommendations for food and beverages, activities, and room services, delivered by trustworthy AI systems, digital experience, and the perception of privacy and data security, influence overall guest satisfaction. …”
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Application and Effectiveness of Modern Technologies in Sports Training - a Literature Review by Tomasz Włoch, Marcin Kwiatkowski, Tomasz Koziński, Marta Donderska, Paulina Bochniak, Jakub Kołacz, Patrycja Oleś, Mateusz Bryła, Zofia Bryła, Monika Szpaczyńska-Kwiatkowska

“…In spite of the encouraging developments, challenges abound in the form of data accuracy, privacy concerns, and the high cost of implementation. …”
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Digital Twins for Smarter Iranian Cities: A Future Studies Perspective by Nader Zali, Ali Soltani, Peyman Najafi, Salima Ebadi Qajari, Mehrdad Mehrju

“…Policy implications suggest that governments should prioritise supportive policies, investments in digital infrastructure, and collaborative efforts to address data privacy, security, and ownership issues. By addressing these challenges, developing countries can leverage UDT technology to improve urban planning, resource management, and quality of life.…”
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Influences of Human Presence on the Indoor Air Quality of Educational Institutions: Concurrent Multipollutant Sensing Approach by Rajib Das, Aritra Acharyya, Shubhankar Majumdar

“…PM findings were inconclusive because of concurrent inhalation effects. All occupancy data were privacy-preserving—images were processed on the device and never stored. …”
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Internet-Based Mass Communication in Multi-Level Marketing Companies Operating in Poland by Nowotarska-Romaniak Beata, Szczepanik Sonia

“…This study examines the areas of Internet-based mass communication (websites, social media) utilized by multi-level marketing (MLM) companies operating in Poland, using methods including literature review, descriptive analysis, and statistical analysis of primary data. …”
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Artificial Intelligence and Quantum Technologies and Their Role in the Development of the U.S. Economy by Likhota Oleksandr V.

“…An equally important factor is the need for ethical regulation, as the development of AI may pose threats to human rights and data privacy. To achieve the set aim, the research employed analysis and synthesis methods, which allowed for a deeper assessment of the impact of new technologies on economic processes. …”
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