Quantitative MRI texture analysis of the lateral pterygoid muscle in unilateral temporomandibular joint disorders by Tao Huang, Shu-Fan Zhao, Zhi-Qiang Song, Zhong-Cheng Gong

“…Abstract Background This study utilized MRI-based texture analysis to quantify structural alterations in the lateral pterygoid muscle (LPM) among MR images with unilateral anterior disc displacement (uADD) of the temporomandibular joint. …”
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Associations between MRI radiomics analysis and tumor-micro milieu in uterine cervical cancer by Hans-Jonas Meyer, Jakob Leonhardi, Anne-Kathrin Höhn, Noura Kabbani, Silke Zimmermann, Jan Borggrefe, Alexey Surov

“…Abstract Purpose The complex interactions of the tumor micromilieu could be reflected by magnetic resonance imaging (MRI) when analyzed with the radiomics approach. …”
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Influence of sacroiliac joint variation on clinical features of axial spondyloarthritis: a comparative analysis by Denis Poddubnyy, Torsten Diekhoff, Sevtap Tugce Ulas, Fabian Proft, Valeria Rios Rodriguez, Judith Rademacher, Juliane Greese, Katharina Ziegeler, Carolina Dominguez Aleixo, Maximilian Lindholz

“…Objectives Anatomical variation of the sacroiliac (SI) joints is common and specific variants are associated with erosions and bone marrow oedema on imaging. Our investigation aims to evaluate whether anatomical variations influence the clinical presentation of axial spondyloarthritis (axSpA).Methods In this propensity score matched post hoc analysis documented clinical data from four prospective clinical cohorts was assessed. …”
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Clinical characteristics and genetic mutation analysis in 18 pediatric patients with Shwachman-Diamond syndrome by Ruoying Wei, Kaihui Zhang, Chen Liu, Xuxia Wei, Qin Jiang, Ji-an Li, Meiling Huo, Yinggang Liu, Mohnad Abdalla, Li-an Du, Xiaomei Yang, Fu Li

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EMOTIVE SPEECH ACTS IN CROSS-CULTURAL COMMUNICATION: A COMPREHENSIVE ANALYSIS AND EXPERIMENTAL STUDY by Kenul E. Abdurehmanova

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Genome-wide meta-analysis of myopia and hyperopia provides evidence for replication of 11 loci. by Claire L Simpson, Robert Wojciechowski, Konrad Oexle, Federico Murgia, Laura Portas, Xiaohui Li, Virginie J M Verhoeven, Veronique Vitart, Maria Schache, S Mohsen Hosseini, Pirro G Hysi, Leslie J Raffel, Mary Frances Cotch, Emily Chew, Barbara E K Klein, Ronald Klein, Tien Yin Wong, Cornelia M van Duijn, Paul Mitchell, Seang Mei Saw, Maurizio Fossarello, Jie Jin Wang, DCCT/EDIC Research Group, Ozren Polašek, Harry Campbell, Igor Rudan, Ben A Oostra, André G Uitterlinden, Albert Hofman, Fernando Rivadeneira, Najaf Amin, Lennart C Karssen, Johannes R Vingerling, Angela Döring, Thomas Bettecken, Goran Bencic, Christian Gieger, H-Erich Wichmann, James F Wilson, Cristina Venturini, Brian Fleck, Phillippa M Cumberland, Jugnoo S Rahi, Chris J Hammond, Caroline Hayward, Alan F Wright, Andrew D Paterson, Paul N Baird, Caroline C W Klaver, Jerome I Rotter, Mario Pirastu, Thomas Meitinger, Joan E Bailey-Wilson, Dwight Stambolian

“…Refractive error (RE) is a complex, multifactorial disorder characterized by a mismatch between the optical power of the eye and its axial length that causes object images to be focused off the retina. …”
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A Low Computational Cost Deep Learning Approach for Localization and Classification of Diseases and Pests in Coffee Leaves by Clecio Elias Silva E. Silva, Jonatan Borges Fragoso, Thuanne Paixao, Ana Beatriz Alvarez, Facundo Palomino-Quispe

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Graph Neural Networks for Digital Pathology by Vincenzo DELLA MEA, Hafsa AKEBLI, Kevin ROITERO

“…The complexity and high dimensionality of medical images make them suitable for analysis using GNNs, which can leverage the relationships between elements in the data, offering a more complex and complete analysis that can improve both the accuracy and efficiency of medical image processing tasks such as classification, segmentation, and detection of abnormalities. …”
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A novel diagnostic framework for breast cancer: Combining deep learning with mammogram-DBT feature fusion by Nishu Gupta, Jan Kubicek, Marek Penhaker, Mohammad Derawi

“…Background and motivation: Breast cancer detection remains a critical challenge in medical imaging due to the complexity of tumor features and variability in breast tissue. …”
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Urban Identities in “African” Sicily. The City of Scicli in The Modern Age by Paolo Militello

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Establishment of a Finite Element Model of Normal Nasal Bone and Analysis of Its Biomechanical Characteristics by Liuqing Zhang, XinYue Wang, Yiyuan Sun, Shuqin Wang, FuLong Zhang, Zhen Zhang

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Smartphone-Based SPAD Value Estimation for Jujube Leaves Using Machine Learning: A Study on RGB Feature Extraction and Hybrid Modeling by Qi Wang, Ziyan Shi, Kaiyao Hou, Ning Yan, Cuiyun Wu, Xu Li

“…Traditional detection methods are usually complex and expensive. This study proposes a rapid detection method for chlorophyll content using smartphone images and machine learning and deep learning models. …”
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The VGG16 Method Is a Powerful Tool for Detecting Brain Tumors Using Deep Learning Techniques by Sarthak Raghuvanshi, Sumit Dhariwal

“…A brain tumor diagnosis is a complex and difficult task that requires accurate and efficient data analysis. …”
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Modern Bioimaging Techniques for Elemental Tissue Analysis: Key Parameters, Challenges and Medical Impact by Jan Sawicki, Marcin Feldo, Agnieszka Skalska-Kamińska, Ireneusz Sowa

“…Therefore, the aim of this review is to describe the influence of these crucial parameters on bioimaging results based on the methodology and results of studies published in the last ten years. (2) Methods: In order to collect relevant publications, the Scopus database was searched using the keywords “element AND imaging AND human tissue”. Next, studies were selected in which methodological aspects allowed relevant conclusions to be made regarding the quality of the results obtained. (3) Results: One of the most important parameters for all techniques is measurement selectivity resulting from the complexity of human tissue. …”
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Impact of Medical Student Involvement on Emergency Department Outcomes: A Tertiary Center Analysis by Ryan Ballard, Asfia Qureshi, Chengu Niu, Keith Grams, Mathew Devine, Nagesh Jadhav, Richard Alweis

“…Conclusion: We found that medical student involvement is associated with longer patient stays in low- to medium-complexity cases but improved efficiency in the management of high-complexity cases. …”
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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

“…These include real-time emotion evaluation using wearable sensors, physiological measurements, and machine learning models for multimodal data analysis. Challenges such as data annotation, contextual dependency, and ethical considerations are critically examined to address the complexity of perception assessment. …”
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FedRSC: A Federated Learning Analysis for Multi-Label Road Surface Classifications by Ioannis V. Vondikakis, Ilias E. Panagiotopoulos, George J. Dimitrakopoulos

“…The presented analysis prioritizes the privacy of road users’ data and leverages the advantages of collective data analysis while building confidence in the system. …”
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Can YOLO Detect Retinal Pathologies? A Step Towards Automated OCT Analysis by Adriana-Ioana Ardelean, Eugen-Richard Ardelean, Anca Marginean

“…Through the advancement of technology, the volume and complexity of OCT data have rendered manual analysis infeasible, creating the need for automated means of detection. …”
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Change Detection Analysis and Deforestation Rates in Oluwa Forest Reserve, Ondo State, Nigeria by J.O. Mephors, O.S. Afolabi, O.M. Ogoliegbune, I.S. Adamu, A.R. Orunkoyi

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Systematic Literature Review on Knowledge-Driven Approaches for Construction Safety Analysis and Accident Prevention by Sonali Pandithawatta, Seungjun Ahn, Raufdeen Rameezdeen, Christopher W. K. Chow, Nima Gorjian

“…The results provide a comparison of related studies over two decades and offer insights into trends and gaps in this research field. Notably, the trend analysis shows a dramatic increase in the number, as well as the depth, of research efforts utilizing AI techniques for analyzing unstructured data, such as construction images and texts from construction documents, and drawing data-based decisions for accident prevention.…”
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