Federated Learning for Predicting Major Postoperative Complications by Yuanfang Ren, PhD, Yonggi Park, PhD, Benjamin Shickel, PhD, Ziyuan Guan, MS, Ayush Patel, Yingbo Ma, PhD, Zhenhong Hu, PhD, Jeremy A. Balch, MD, Tyler J. Loftus, MD, PhD, Parisa Rashidi, PhD, Tezcan Ozrazgat-Baslanti, PhD, Azra Bihorac, MD, MS

“…To develop a robust model to accurately predict the risk of postoperative complications using clinical data from multiple institutions while ensuring data privacy. …”
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Research Progress on Ambient Visual Information Analysis and Perception Measurement Methods for Motion Vision by Haipeng ZHU, Yuhang KONG, (JPN) OHNO Ryuzo

“…Despite the promising applications of machine learning in subjective perception research, challenges such as data annotation difficulties, context dependence, and privacy concerns still persist.ConclusionThe research demonstrates the advantages of using panoramic images in capturing comprehensive visual information in both static and dynamic environments, offering a more accurate representation of spatial relationships and overcoming traditional limitations. …”
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Health Information Exchange Usage in Japan: Content Analysis of Audit Logs by Jun Suzumoto, Yukiko Mori, Tomohiro Kuroda

“…ObjectiveThis study aimed to identify the types of medical data that are frequently viewed on demand using HIEs in Japan. …”
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Digital Transformation in Higher Education: Enhancing Support Services Through Mobile Apps by Anusuyah Subbarao, Nasreen Khan, Aysa Siddika, Muhammad A. Fathullah, Mohd A. Sanwani, Fia F. Adam, Debrina V. Ferezagia, Melisa B. Altamira

“…In contrast, other elements such as ease of use, competence, accessibility, and data privacy were not deemed significant concerns by the students. …”
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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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Learning from the first: a qualitative study of the psychosocial benefits and treatment burdens of long‐acting cabotegravir/rilpivirine among early adopters in three U.S. clinics by Katerina A. Christopoulos, Mollie B. Smith, Priyasha Pareek, Alicia Dawdani, Xavier A. Erguera, Kaylin V. Dance, Ryan S. Walker, Janet Grochowski, Francis Mayorga‐Munoz, Matthew D. Hickey, Mallory O. Johnson, John Sauceda, Jose I. Gutierrez Jr., Elizabeth T. Montgomery, Jonathan A. Colasanti, Lauren F. Collins, Moira C. McNulty, Kimberly A. Koester

“…Clinical data were abstracted from the medical record. Results The sample (San Francisco n = 25, Atlanta n = 20, Chicago n = 14 for total n = 59, median number of injections = 6) consisted of 48 PWH using CAB/RPV‐LA and 11 who had discontinued. …”
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Opportunities and challenges of social media for oral health literacy improvement: a qualitative investigation based on Iranian dentists’ perspectives by Hossein Ghalavand, Sirous Panahi, Mohsen Nouri

“…Methods In the current qualitative investigation, a semi-structured interview was conducted with 24 dentists utilizing a purposive snowball sampling method. The analysis of the data was performed using thematic analysis in the MAXQDA 10 software. …”
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Adoption of Electronic Records Management System in Managing Patients Records at Kabale Regional Referral Hospital. by Musiimenta, Lucky

“…The study targeted a population of 100 Participants and a sample of 80 Participants using the Morgan and Krejen table. The study used an interview guide and observation methods to collect data from Participants who were patients, hospital administration, and records personnel. …”
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Relationship between breast feeding and motor development in children: protocol for a systematic review and meta-analysis by Vicente Martínez-Vizcaíno, Diana P Pozuelo-Carrascosa, Celia Álvarez-Bueno, Monserrat Hernández Luengo, Carlos Berlanga-Macías

“…Subgroup analyses will be carried out based on the characteristics of motor skill development and the population included.Ethics and dissemination Ethical approval is not required because the data used will be obtained from published studies, and there will be no concerns about privacy. …”
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Engaging Stakeholders in the Development of a National Digital Mental Health Strategy: Reflexive Thematic Analysis by Sarah Kennedy, Robyn Fitzgerald, Ruth Melia

“…Invited stakeholders included experts in DMH research, clinical practice, and mental health advocacy and policy, together with those with lived experience of accessing mental health services. Qualitative data were analyzed using a reflexive thematic analysis approach. …”
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Unsupervised person re‐identification based on adaptive information supplementation and foreground enhancement by Qiang Wang, Zhihong Huang, Huijie Fan, Shengpeng Fu, Yandong Tang

“…Abstract Unsupervised person re‐identification has attracted vital interest because of its ability to protect privacy, significantly lower the expense of manual annotation, and eliminate the need for data labels. …”
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Empowering Healthcare: TinyML for Precise Lung Disease Classification by Youssef Abadade, Nabil Benamar, Miloud Bagaa, Habiba Chaoui

“…Recently, there has been growing interest in the automated analysis of lung sounds using Deep Learning (DL). Nevertheless, the execution of large DL models in the cloud often leads to latency, dependency on internet connectivity, and potential privacy issues due to the transmission of sensitive health data. …”
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Large Language Model and Traditional Machine Learning Scoring of Evolutionary Explanations: Benefits and Drawbacks by Yunlong Pan, Ross H. Nehm

“…Few studies have compared Large Language Models (LLMs) to traditional Machine Learning (ML)-based automated scoring methods in terms of accuracy, ethics, and economics. Using a corpus of 1000 expert-scored and interview-validated scientific explanations derived from the ACORNS instrument, this study employed three LLMs and the ML-based scoring engine, EvoGrader. …”
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Auxiliary Teaching and Student Evaluation Methods Based on Facial Expression Recognition in Medical Education by Xueling Zhu, Roben A Juanatas

“…Facial expression recognition uses computer vision and deep learning algorithms to identify students’ emotional states. …”
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Automotive Cybersecurity: A Survey on Frameworks, Standards, and Testing and Monitoring Technologies by Claudiu Vasile Kifor, Aurelian Popescu

“…To sustain and enhance the performance, quality, and reliability of vehicle systems, software engineers face significant challenges, including in diverse communication channels, software integration, complex testing, compatibility, core reusability, safety and reliability assurance, data privacy, and software security. Addressing cybersecurity risks presents a substantial challenge in finding practical solutions to these issues. …”
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The A New Strategy to Enhance the Security of GPS Location by PGP Algorithm in Smart Containers by Mehrunnisa Saleem jan, Salman Ahmed, Safdar Nawaz Khan Marwat

“… Dynamic navigation devices like Global Positioning Systems (GPSs) are deployed for various purposes in different areas and these devices are usually the central point of interest of various groups like hackers to exploit the data sent and received by GPS systems. The GPS data is usually manipulated using spoofing attacks. …”
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Apical extrusion of debris with different rotary and reciprocating single-file endodontic instrumentation systems: a systematic review and meta-analysis protocol by Muhammad Zubair Ahmad, Durre Sadaf, Marcy McCall MacBain, Ahmed Nabil Mohamed

“…We will measure the statistical heterogeneity by applying the Cochrane Q test and quantify using the I2 statistic. Existence of covariates and any potential heterogeneity will be explored through prespecified subgroup and sensitivity analyses.Ethics and dissemination Approval from an ethical research committee is not required because it will be done using data that have been already published and have no concerns related to the privacy of patients. …”
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The Application of Artificial Intelligence in Medical Diagnostics: Implications for Sports Medicine by Michał Bolek, Dominika Musialska, Aleksandra Kędzia, Bartosz Jagieła, Monika Fidyk, Magda Minkiewicz, Maciej Dyda

“…However, their integration into healthcare raises critical ethical concerns related to data privacy, algorithmic bias, and transparency. …”
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FedDyH: A Multi-Policy with GA Optimization Framework for Dynamic Heterogeneous Federated Learning by Xuhua Zhao, Yongming Zheng, Jiaxiang Wan, Yehong Li, Donglin Zhu, Zhenyu Xu, Huijuan Lu

“…Federated learning (FL) is a distributed learning technique that ensures data privacy and has shown significant potential in cross-institutional image analysis. …”
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Encrypted traffic identification scheme based on sliding window and randomness features by LIU Jiachi, KUANG Boyu, SU Mang, XU Yaqian, FU Anmin

“…Specifically, the scheme involved sampling the payloads of data packets in sessions using a sliding window mechanism to obtain data block sequences that reflect the information patterns of the original traffic. …”
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