Artificial intelligence-driven clinical decision support systems for early detection and precision therapy in oral cancer: a mini review by Manoj Kumar Karuppan Perumal, Remya Rajan Renuka, Suresh Kumar Subbiah, Prabhu Manickam Natarajan

“…In addition, it examines current implementations of AI-CDSS that facilitate early OC detection, precise staging, and personalized treatment planning by processing multimodal patient information through machine learning, computer vision, and natural language processing. …”
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Systems Policy Analysis for Antimicrobial Resistance Targeted Action (SPAARTA): A Research Protocol [version 2; peer review: 2 approved] by Raheelah Ahmad, Rishabh Jain, Nina Zhu, Mirfin Mpundu, Jyoti Joshi, Alison Holmes, Paola Amigo Gutierrez, Rifat Atun, Tillman Weyde

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Visually-guided compensation of deafening-induced song deterioration by Manon Rolland, Anja T. Zai, Anja T. Zai, Richard H. R. Hahnloser, Richard H. R. Hahnloser, Catherine Del Negro, Nicolas Giret

“…Human language learning and maintenance depend primarily on auditory feedback but are also shaped by other sensory modalities. …”
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The Influence of Early Grade Reading On Pupils Academic Performance in Selected Primary Schools in Rukiga District by Muhumuza, Boaz

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The Use of Artificial Intelligence in Medical Diagnostics: Opportunities, Prospects and Risks by Nataliia Sheliemina

“…Rapid advancements in AI (artificial intelligence) technologies, including machine learning, natural language processing, and computer vision, have developed sophisticated tools capable of performing complex medical tasks. …”
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A novel mobiles android application for facilitating wheelchair users access to public buildings in urban environments by Saadeh Z. Sweidan, Khalid A. Darabkh, Rawan Abdalla Mohommad Afaneh

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Exploring Text-Guided Single Image Editing for Remote Sensing Images by Fangzhou Han, Lingyu Si, Hongwei Dong, Zhizhuo Jiang, Lamei Zhang, Hao Chen, Yu Liu, Bo Du

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Generating Distractors for Code Completion Problems: Can LLM Assist Instructors? by Mohammad Hassany, Kamil Akhuseyinoglu, Arun Balajiee Lekshmi Narayanan, Arav Agarwal, Jaromir Savelka, Peter Brusilovsky

“…While there is a growing body of research in computing education on the use of large language models (LLMs) to support learning content development, the use of LLMs for producing high-quality code completion problems has not yet been explored. …”
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Post-processing methods for mitigating algorithmic bias in healthcare classification models: An extended umbrella review by Shaina Mackin, Vincent J. Major, Rumi Chunara, Remle Newton-Dame

“…PubMed and Scopus were searched in December 2023 for English-language reviews published post-2013 using an expanded search string from previous work on machine learning bias. …”
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GIS Analysis Model Integration and Service Composition Prospects by L. Ding, P. Cai, W. Huang, H. Zhang, F. Ding, W. Zhao, D. Tang, Z. Wang

“…For instance, land-use change prediction synthesizes spatial regression, machine learning, and remote sensing, while natural disaster systems merge meteorological models with post-disaster assessments. …”
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Current application, possibilities, and challenges of artificial intelligence in the management of rheumatoid arthritis, axial spondyloarthritis, and psoriatic arthritis by Emre Bilgin

“…In addition, AI applications are reported as promising for the early identification of extra-articular involvements, prediction, detection, and assessment of comorbidities. In axSpA, AI-driven models using imaging techniques such as sacroiliac radiography, magnetic resonance imaging, and computed tomography have increased diagnostic accuracy, especially for early inflammatory changes. …”
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Achieving inclusive healthcare through integrating education and research with AI and personalized curricula by Amir Bahmani, Kexin Cha, Arash Alavi, Amit Dixit, Antony Ross, Ryan Park, Francesca Goncalves, Shirley Ma, Paul Saxman, Ramesh Nair, Ramin Akhavan-Sarraf, Xin Zhou, Meng Wang, Kévin Contrepois, Jennifer Li-Pook-Than, Emma Monte, David Jose Florez Rodriguez, Jaslene Lai, Mohan Babu, Abtin Tondar, Sophia Miryam Schüssler-Fiorenza Rose, Ilya Akbari, Xinyue Zhang, Kritika Yegnashankaran, Joseph Yracheta, Kali Dale, Alison Derbenwick Miller, Scott Edmiston, Eva M. McGhee, Camille Nebeker, Joseph C. Wu, Anshul Kundaje, Michael Snyder

“…Methods We evaluated the Stanford Data Ocean (SDO) precision medicine training program’s learning outcomes, AI Tutor performance, and learner satisfaction by assessing self-rated competency on key learning objectives through pre- and post-learning surveys, along with formative and summative assessment completion rates. …”
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Investigating ADHD Symptoms and Sleep Disturbances in Young Adults: A Cross-Sectional Study by Demirkan AK, Semiz UB

“…In fact, sleep and mood explained about 68% of the differences in ADHD symptom levels.Students with ADHD symptoms were also more likely to sleep fewer hours than recommended. This can affect learning, memory, and daily life. Things like staying up late to study, using phones or computers at night, or having a busy social life may make sleep worse.Even though the study relied on self-reported answers and included students from only one university, the results suggest that better sleep and emotional support might help reduce ADHD symptoms and improve students’ well-being.Our research highlights the importance of supporting healthy sleep habits and mental health in students who experience attention difficulties.Keywords: ADHD, sleep disturbances, young adults, university students, sleep quality…”
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Emotional speech markers of psychiatric disturbance in Huntington’s disease by Lucie Chenain, Lucie Chenain, Lucie Chenain, Lucie Chenain, Lucie Chenain, Audrey Fabre, Audrey Fabre, Audrey Fabre, Audrey Fabre, Audrey Fabre, Hadrien Titeux, Hadrien Titeux, Hadrien Titeux, Hadrien Titeux, Hadrien Titeux, Graça Morgado, Katia Youssov, Katia Youssov, Katia Youssov, Katia Youssov, Katia Youssov, Chloé Clavel, Anne-Catherine Bachoud-Lévi, Anne-Catherine Bachoud-Lévi, Anne-Catherine Bachoud-Lévi, Anne-Catherine Bachoud-Lévi, Anne-Catherine Bachoud-Lévi

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Social robot radical innovation: capacities and status attributed to the NAO robot by 11 to 12-year-old students and preservice teachers’ perceptions by Andreja Istenič, Vid Podpečan, Violeta Rosanda, Xuesong Zhai

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fNIRS reproducibility varies with data quality, analysis pipelines, and researcher experience by Meryem A. Yücel, Robert Luke, Rickson C. Mesquita, Alexander von Lühmann, David M. A. Mehler, Michael Lührs, Jessica Gemignani, Androu Abdalmalak, Franziska Albrecht, Iara de Almeida Ivo, Christina Artemenko, Kira Ashton, Paweł Augustynowicz, Aahana Bajracharya, Elise Bannier, Beatrix Barth, Laurie Bayet, Jacqueline Behrendt, Hadi Borj Khani, Lenaic Borot, Jordan A. Borrell, Sabrina Brigadoi, Kolby Brink, Chiara Bulgarelli, Emmanuel Caruyer, Hsin-Chin Chen, Christopher Copeland, Isabelle Corouge, Simone Cutini, Renata Di Lorenzo, Thomas Dresler, Adam T. Eggebrecht, Ann-Christine Ehlis, Sinem B. Erdoğan, Danielle Evenblij, Talukdar Raian Ferdous, Victoria Fracalossi, Erika Franzén, Anne Gallagher, Christian Gerloff, Judit Gervain, Noy Goldhamer, Louisa K. Gossé, Ségolène M. R. Guérin, Edgar Guevara, SM Hadi Hosseini, Hamish Innes-Brown, Isabell Int-Veen, Sagi Jaffe-Dax, Nolwenn Jégou, Hiroshi Kawaguchi, Caroline Kelsey, Michaela Kent, Roman Kessler, Nadeen Kherbawy, Franziska Klein, Nofar Kochavi, Matthew Kolisnyk, Yogev Koren, Agnes Kroczek, Alexander Kvist, Chen-Hao Paul Lin, Andreas Löw, Siying Luan, Darren Mao, Giovani G. Martins, Eike Middell, Samuel Montero-Hernandez, Murat Can Mutlu, Sergio L. Novi, Natacha Paquette, Ishara Paranawithana, Yisrael Parmet, Jonathan E. Peelle, Ke Peng, Tommy Peng, João Pereira, Paola Pinti, Luca Pollonini, Ali Rahimpour Jounghani, Vanessa Reindl, Wiebke Ringels, Betti Schopp, Alina Schulte, Martin Schulte-Rüther, Ari Segel, Tirdad Seifi Ala, Maureen J. Shader, Hadas Shavit, Arefeh Sherafati, Mojtaba Soltanlou, Bettina Sorger, Emma Speh, Kevin D. Stubbs, Katharina Stute, Eileen F. Sullivan, Sungho Tak, Zeus Tipado, Julie Tremblay, Homa Vahidi, Maaike Van Eeckhoutte, Phetsamone Vannasing, Gregoire Vergotte, Marion A. Vincent, Eileen Weiss, Dalin Yang, Gülnaz Yükselen, Dariusz Zapała, Vit Zemanek

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Effect of virtual reality head-mounted display on academic motivation and skills of millennial nursing students in teaching infection prevention and control by Andri Nugraha, Iin Patimah, Engkus Kusnadi, Wikky Fawwaz Al Maki

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An open-source interactive AI framework for assisting automatic literature review in forensic medicine: Focus on brain injury mechanisms. by Ya-Wen Liu, Dong-Hua Zou, He-Wen Dong, Yuan-Yuan Liu, En-Hao Fu, Zhi-Ling Tian, Ning-Guo Liu

“…Third, gold standard were translated into computational languages to evaluate ASReview's capacity to address real-world systematic review objectives.…”
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Index pregnancy emotional fertility intention and its correlates in Ethiopia: evidence from a national women and newborns baseline survey by Solomon Abrha Damtew, Tariku Dejene Demissie, Assefa Seme, Niguse Tadele Atnafu, Fitsum Tariku Fantaye, Mahari Yihdego Gidey, Kelemua Mengesha Sene, Bezawork Ayele Kassa, Hailay Gebremichael Gebrekidan, Tariku Tesfaye Bekuma, Aynaw Amogne, Solomon Shiferaw

“…This study was restricted to 2,236 pregnant women at the enrollment. Frequencies were computed to characterize pregnant women, and chi-square statistics was used to assess cell sample size adequacy. …”
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Advice on better utilization of validation data to adjust odds ratios for differential exposure misclassification (recall bias) by Igor Burstyn, George Luta

“…BMJ 2016 Apr;352:i1981. https://doi.org/10.1136/bmj.i1981. 10. Team RD. A language and environment for statistical computing. …”
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