Research trends on AI in breast cancer diagnosis, and treatment over two decades by Alok Singh, Akanksha Singh, Sudip Bhattacharya

“…Co-citation network analysis identifies foundational works by authors like Lecun Y. and Simonyan K. in advancing AI applications in breast cancer. …”
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Factors affecting innovation capacity: Empirical evidence from small and medium enterprises in Vietnam by Lien Thi Hoa Do, Phuong Vo Hang Hoang, Mai Thi Ngoc Nguyen

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Occurrence of stroke in children and young adults in Indonesia: a multicenter private hospital study by Jeanne Leman, Veli Sungono, Yosua Timotius Haryono, Muhammad Adam Mudzakir, Dewi Lestari Rahmawati, Callistus Bruce Henfry Sulay, Gilbert Sterling Octavius

“…Purpose This study aimed to estimate the occurrence of childhood stroke in Indonesia using imaging and clinical data from a private hospital network. …”
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Patient safety culture in Primary Health Care by Jéssica Karine Lopes Bohrer, Ana Catarina Laboissière Vasconcelos, Ana Lúcia Queiroz Bezerra, Cristiane Chagas Teixeira, Juliane Andrade, Paulo Henrique Fernandes dos Santos, Thatianny Tanferri de Brito Paranaguá

“…Conclusion: the safety culture in Primary Care did not identify strong dimensions; there were problems with equipment, performance and availability of test results and exchange of information with imaging centers/laboratories in the care network. …”
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Excessive iron accumulation in the striatum associated with addictive behaviors of medication-overuse headache: a prospective study by Xun Pei, Xiaoyan Bai, Xue Zhang, Zhangxuan Hu, Wei Wang, Xueyan Zhang, Yingkui Zhang, Hefei Tang, Yaqing Zhang, Xueying Yu, Ziyu Yuan, Peng Zhang, Tong Chen, Yuanbin Zhao, Xiuqin Jia, Qi Yang, Yonggang Wang, Binbin Sui

“…Methods Forty-eight healthy controls (HCs) and 69 CM patients (36 with MOH; 33 without MOH) were recruited. QSM data were acquired using a 3.0 T Magnetic resonance imaging (MRI). …”
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Lightweight Brain Tumor Segmentation Through Wavelet-Guided Iterative Axial Factorization Attention by Yueyang Zhong, Shuyi Wang, Yuqing Miao, Tao Zhang, Haoliang Li

“…Background/Objectives: The accurate and efficient segmentation of brain tumors from 3D MRI data remains a significant challenge in medical imaging. …”
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Resting-State Functional MRI Reveals Altered Seed-Based Connectivity in Diabetic Osteoporosis Patients by Li J, Liu M, Qin J, An Y, Zheng X, Mohamad NS, Ramli I

“…This study aims to further explore the abnormal functional connectivity between different brain regions based on the team’s previous research.Methods: Resting-state functional magnetic resonance imaging (rs-fMRI) data were obtained from 14 participants diagnosed with type 2 diabetes mellitus (T2DM) and osteoporosis. …”
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Artificial Intelligence Applied in Early Prediction of Lower Limb Fracture Complications by Aurelian-Dumitrache Anghele, Virginia Marina, Liliana Dragomir, Cosmina Alina Moscu, Iuliu Fulga, Mihaela Anghele, Cristina-Mihaela Popescu

“…<b>Materials and methods</b><i>:</i> This observational study analyzed medical charts from the electronic archive of the Clinical Emergency Hospital in Galați, Romania, covering a four-year period from 2018 to 2022. A neural network model was developed to analyze various socio-demographic and paraclinical data. …”
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Lung volume assessment for mean dark-field coefficient calculation using different determination methods by Florian T. Gassert, Jule Heuchert, Rafael Schick, Henriette Bast, Theresa Urban, Tina Dorosti, Gregor S. Zimmermann, Sebastian Ziegelmayer, Alexander W. Marka, Markus Graf, Marcus R. Makowski, Daniela Pfeiffer, Franz Pfeiffer

“…Methods In this retrospective analysis of data prospectively acquired between October 2018 and October 2020, patients at least 18 years of age who underwent chest computed tomography (CT) were screened for study participation. …”
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Long-Term Effects of Musical Training and Functional Plasticity in Salience System by Cheng Luo, Shipeng Tu, Yueheng Peng, Shan Gao, Jianfu Li, Li Dong, Gujing Li, Yongxiu Lai, Hong Li, Dezhong Yao

“…In this study, we used data-driven functional connectivity analysis to map local and distant functional connectivity in resting-state functional magnetic resonance imaging data from 28 professional musicians and 28 nonmusicians. …”
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Effectiveness of exercise therapy in patients with knee osteoarthritis: an overview of systematic reviews by Daisuke Sasaki, Takashi Kitagawa, Yuichi Isaji, Kunihiro Onishi, Masateru Hayashi, Wataru Okuyama

“…Objective This study aimed to assess the methodological quality of published systematic reviews of exercise therapy in knee osteoarthritis and summarise their reported effectiveness on quality of life, knee joint function, or adverse events.Design Overview of systematic reviews.Data sources PubMed, Embase, CINAHL, Web of Science and CENTRAL (searched on 14 April 2025), plus grey literature (PROSPERO, Epistemonikos, OpenGrey).Eligibility criteria for selecting studies We included systematic reviews of randomised controlled trials in patients diagnosed with knee osteoarthritis by imaging or clinical criteria and treated conservatively with exercise therapy; we excluded reviews that enrolled patients scheduled for surgery, with acute inflammation or osteoarthritis of other joints (hand, hip, ankle), for which relevant author data could not be obtained after one contact attempt, or that did not report at least one primary outcome (quality of life, knee joint function or adverse events).Data extraction and synthesis Two reviewers independently extracted data on study characteristics, interventions and outcomes, and assessed methodological quality using the AMSTAR 2 (A MeaSurement Tool to Assess systematic Reviews 2) tool. …”
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Constitutive model of metal rubber material considering plastic accumulation behavior by FENG Zhipeng, YANG Fang, FU Hailong, AI Shigang, WANG Yue, YUAN Liangyang

“…The result demonstrates that the plasticity-considered model has the smaller fitting errors with experimental data, compared to cantilever beam models and porous models, which reflects its superior accuracy in data analysis compared to traditional models. …”
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Predicting immunotherapy prognosis and targeted therapy sensitivity of colon cancer based on a CAF-related molecular signature by Leqian Ying, Lu Zhang, Yanping Chen, Chunchun Huang, Jingyi Zhou, Jinbing Xie, Lin Liu

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Physics-enhanced machine learning for predicting strength of high-carbon chromium steel during thermomechanical processing and spheroidizing annealing by Changqing Shu, Shasha Zhang, Peiheng Ding, Yaxin Sun, Xuewei Tao, Xiaolin Zhu, Qiuhao Gu, Liukai Hua, Song Xue, Zhengjun Yao

“…A U-net deep learning algorithm extracts key microstructural features—spheroidal, short rod-like, and lamellar carbides—from SEM images, enhancing predictive accuracy. To mitigate dimensionality issues, pearson correlation and random forest rankings are applied for feature selection. …”
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Efficient Sedimentary Facies Recognition Using Vision Transformer and Weakly Supervised Deep Multi-View Clustering by Hao Wu, Yu-Jie Dai, Xin-Yu Liu

“…Experimental results show that this method achieves higher accuracy and robustness across multiple sedimentary facies datasets, significantly outperforming traditional Convolutional Neural Networks methods in recognition performance. This research provides a novel solution for sedimentary facies recognition, especially suited for scenarios with limited labeled data and complex, diverse features, and offers new research directions for future deep learning-based geological data analysis.…”
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Unpacking medical students’ resit experiences: a qualitative study of early years medical students´ experiences of a peer-assisted learning programme during summer resit exams by Cate Goldwater Breheny, Angela Cebolla Sousa, Ana Vitoria Baptista

“…Stigma: experienced a lack of open communication around resitting. The data emphasises the holistic nature of resitting, with students’ self-image, their relationships with others, and the structural and institutional context all impacting on their experience, cross-cut with their experience of stigma through silence. …”
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Automatic cervical tumors segmentation in PET/MRI by parallel encoder U-net by Shuai Liu, Zheng Tan, Tan Gong, Xiaoying Tang, Hongzan Sun, Fei Shang

“…Abstract Background Automatic segmentation of cervical tumors is important in quantitative analysis and radiotherapy planning. Methods A parallel encoder U-Net (PEU-Net) integrating the multi-modality information of PET/MRI was proposed to segment cervical tumor, which consisted of two parallel encoders with the same structure for PET and MR images. …”
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Rapid diagnosis of bacterial vaginosis using machine-learning-assisted surface-enhanced Raman spectroscopy of human vaginal fluids by Xin-Ru Wen, Jia-Wei Tang, Jie Chen, Hui-Min Chen, Muhammad Usman, Quan Yuan, Yu-Rong Tang, Yu-Dong Zhang, Hui-Jin Chen, Liang Wang

“…Vaginal fluid samples were classified as BV positive or BV negative using the BVBlue Test and clinical microscopy, followed by SERS spectral acquisition to construct the data set. Preliminary SERS spectral analysis revealed notable disparities in characteristic peak features. …”
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Cell-TRACTR: A transformer-based model for end-to-end segmentation and tracking of cells. by Owen M O'Connor, Mary J Dunlop

“…Deep learning-based methods for identifying and tracking cells within microscopy images have revolutionized the speed and throughput of data analysis. …”
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Detection of primary malignancy and metastases with FDG PET/CT in patients with cholangiocarcinomas: Lesion-based comparison with contrast enhanced CT by Youssef Elias, Aladin Mariano, Yang Lu

“…Final diagnoses were made based on the composite clinical and imaging data with minimal 6-month follow-up. A total of 18 patients with 28-paired tests were included. …”
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