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  1. 1401

    AI-assisted radiologists vs. standard double reading for rib fracture detection on CT images: A real-world clinical study. by Li Sun, Yangyang Fan, Shan Shi, Minghong Sun, Yunyao Ma, Kuo Zhang, Feng Zhang, Huan Liu, Tong Yu, Haibin Tong, Xuedong Yang

    Published 2025-01-01
    “…To evaluate the diagnostic accuracy of artificial intelligence (AI) assisted radiologists and standard double-reading in real-world clinical settings for rib fractures (RFs) detection on CT images. This study included 243 consecutive chest trauma patients (mean age, 58.1 years; female, 166) with rib CT scans. …”
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  2. 1402

    Challenges in detecting and predicting adverse drug events via distributed analysis of electronic health record data from German university hospitals. by Anna Maria Wermund, Torsten Thalheim, André Medek, Florian Schmidt, Thomas Peschel, Alexander Strübing, Daniel Neumann, André Scherag, Markus Loeffler, Miriam Kesselmeier, Ulrich Jaehde, POLAR_MI Consortium

    Published 2025-06-01
    “…Here, using the two adverse events gastrointestinal bleeding and drug-related hypoglycaemia as examples, we present our initial investigation to determine whether these adverse events and their associations with potential risk factors can be detected. …”
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  3. 1403

    Metabolomic liquid biopsy dynamics predict early-stage HCC and actionable candidates of human hepatocarcinogenesis by Kornelius Schulze, Tim Daniel Rose, Lorenz Adlung, Manuela Peschka, Francesca Pagani, Joao Gorgulho, Thorben W. Fründt, Ismail Labgaa, Philipp K. Haber, Carolin Zimpel, Darko Castven, Arndt Weinmann, Teresa Garzia-Lezana, Moritz Waldmann, Thomas Renné, Hannah Voß, Manuela Moritz, Dorian Orlikowski, Hartmut Schlüter, Jan Baumbach, Myron Schwartz, Ansgar W. Lohse, Samuel Huber, Bruno Sangro, Rocio I.R. Macias, Laura Izquierdo-Sanchez, Jesus M. Banales, Henning Wege, Jens U. Marquardt, Augusto Villanueva, Josch Konstantin Pauling, Johann von Felden

    Published 2025-05-01
    “…Background & Aims: Actionable candidates of hepatocarcinogenesis remain elusive, and tools for early detection are suboptimal. Our aim was to demonstrate that serum metabolome profiles reflect the initiation of hepatocellular carcinoma (HCC) and enable the identification of biomarkers for early HCC detection and actionable candidates for chemoprevention. …”
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    An Application of Deep Learning Models for the Detection of Cocoa Pods at Different Ripening Stages: An Approach with Faster R-CNN and Mask R-CNN by Juan Felipe Restrepo-Arias, María José Montoya-Castaño, María Fernanda Moreno-De La Espriella, John W. Branch-Bedoya

    Published 2025-07-01
    “…Initial experiments using pretrained weights and standard configurations on a custom COCO-format dataset yielded promising baseline results. …”
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  7. 1407

    GNSS time series analysis of the crustal movement network of China: Detecting the optimal order of the polynomial term and its effect on the deterministic model by Shuguang Wu, Hua Ouyang, Houpu Li, Zhao Li, Haiyang Li, Yuefan He

    Published 2025-07-01
    “…The latter contains some stochastic noises, which can be affected by detecting the former parameters. If there are not enough parameters assumed, modeling errors will occur and adversely affect the analysis results. …”
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  8. 1408

    A Novel Diagnostic Framework with an Optimized Ensemble of Vision Transformers and Convolutional Neural Networks for Enhanced Alzheimer’s Disease Detection in Medical Imaging by Joy Chakra Bortty, Gouri Shankar Chakraborty, Inshad Rahman Noman, Salil Batra, Joy Das, Kanchon Kumar Bishnu, Md Tanvir Rahman Tarafder, Araf Islam

    Published 2025-03-01
    “…One of the major and primary challenges for preventing any disease is to identify the disease at the initial stage through a quick and reliable detection process. …”
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  9. 1409

    Molecular and Microscopic Challenges in Detecting <i>Plasmodium cynomolgi</i> Co-Infections with <i>Plasmodium vivax:</i> A Case Report by Mohd Adilin Yaacob, Raden Shamilah Radin Hisam, Nor Parina Ismail, Noor Azian Md Yusuf, Jose Miguel Rubio Muñoz, Suhana Hashim, Tam Jenn Zhueng

    Published 2025-06-01
    “…This case highlights the diagnostic limitations in detecting <i>P. cynomolgi</i>, which shares high genetic similarity with <i>P. vivax</i>, leading to potential cross-reactivity and diagnostic inaccuracies. …”
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  10. 1410

    Proposed Comprehensive Methodology Integrated with Explainable Artificial Intelligence for Prediction of Possible Biomarkers in Metabolomics Panel of Plasma Samples for Breast Canc... by Cemil Colak, Fatma Hilal Yagin, Abdulmohsen Algarni, Ali Algarni, Fahaid Al-Hashem, Luca Paolo Ardigò

    Published 2025-03-01
    “…Metabolomics technology is a feasible and comprehensive method for early disease detection and biomarker identification at the molecular level. …”
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  11. 1411

    A deep machine learning model development for the biomarkers of the anatomical and functional anti-VEGF therapy outcome detection on retinal OCT images by B.E. Malyugin, S.N. Sakhnov, L.E. Axenova, K.D. Axenov, E.V. Kozina, V.V. Vronskaya, V.V. Myasnikova

    Published 2022-12-01
    “…The aim of this work was to create an algorithm for the automated detection of the anti-VEGF therapy outcome biomarkers in patients with n-AMD and PED on OCT images. …”
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    Targeted next-generation sequencing: a promising approach for Mycobacterium tuberculosis detection and drug resistance when applied in paucibacillary clinical samples by Wenting Jin, Meixia Wang, Yang Wang, Beidi Zhu, Qingqing Wang, Chunmei Zhou, Pei Li, Chaohui Hu, Jun Liu, Jue Pan, Jiachang Chen, Bijie Hu

    Published 2025-07-01
    “…It was concluded that the tNGS assay was a promising approach in the initial diagnostic test of MTB and DR-related genes in different clinical samples, even for the smear- and culture-negative paucibacillary samples.IMPORTANCEtNGS combines gene-specific amplification with next-generation sequencing to detect MTB and drug-resistant genes by amplifying numerous loci directly from clinical samples. …”
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    Early diagnosis of coxitis in ankylosing spondylitis by Sh. F. Erdes, E. M. Agafonova, T. V. Dubinina, A. B. Demina, A. V. Smirnov

    Published 2023-08-01
    “…Hip joint (HJ) involvement in AS is considered an un-favorable prognostic factor. Early detection of coxitis is of great importance, since with the timely initiation of adequate treatment, the risk of developing irreversible changes in HJ can be reduced.The lecture discusses the issues of clinical and instrumental diagnosis of coxitis in AS and presents an algorithm for its early detection developed by the authors.…”
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