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Diagnostic Accuracy of Sonographic Signs of Extrapulmonary Tuberculosis and Treatment Response Monitoring in HIV-Positive and -Negative Populations

Robert Ndege, Farida Bani, Omary Ngome, Mohamed Sasamalo, Dorcas Mnzava, Fiona Vanobberghen, Daniel H Paris, Maja Weisser, Martin Rohacek (Author)
18222
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DOI: https://doi.org/10.5826/tuj.2026.18222
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SPOT THE BOT: A comparative quality assessment of AI-generated written instructions for lung ultrasound training

Adrian Wong, Nurul Liana Roslan, Serene Ho, Rou An Tan, Julina Noor, Gabriele Via, Francesco Corradi (Author)
18495
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DOI: https://doi.org/10.5826/tuj.2026.18495
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Quality evaluation of ultrasound images for fetal crown–rump length measurement at 11 to 14 weeks’ gestation: A fusion model can be interpreted using SHAP method

Lu Liu, Ting Wang, Yanping Li, Hongyan Tian, Haidong Zhang, Chenyang Zhou, Wenjing Zhu, Wenjun Cai (Author)
18334
Abstract 0 PDF | Downloads 0 Supplementary file | Downloads 0
DOI: https://doi.org/10.5826/tuj.2026.18334
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Announcements

Special issue: Automation in Ultrasound Imaging: AI driven and Model Based Data Acquisition, Analysis and Classification

2025-10-08

Ultrasound is one of the most widely used and accessible diagnostic modalities in global healthcare. However, its effectiveness is often limited by user skill and interpretive subjectivity. Automation in Ultrasound Imaging is revolutionizing this field by offering automated interpretation, real-time guidance, and decision support, enabling more consistent and accurate diagnoses across care settings. This research is central to the future of personalized, affordable, and scalable diagnostic medicine.

EXPLORE THE ARTICLES >>

Read more about Special issue: Automation in Ultrasound Imaging: AI driven and Model Based Data Acquisition, Analysis and Classification

Current Issue

Vol. 18 No. 1 (2026): The Ultrasound Journal 2026; volume 18
Published: 2026-01-10

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    Feasibility of measuring left ventricular outflow tract velocity time integral as a predictor for stroke volume in pregnant women in labor

    Mohamed Eissa, George Dumitrascu, Elizabeth Miller, Jennifer Racine, Victoria Postnikova, Wesley Rajaleelan, Wesley Edwards, Hesham Talab, Daniel I McIsaac (Author)
    18246
    DOI: https://doi.org/10.5826/tuj.2026.18246
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    Prediction of in-vitro fertilization outcome by ultrasound strain analysis and machine learning: A multi-center study

    Anyi Cheng, Yizhou Huang, Connie Rees, Celine Blank, Nikos Christoforidis, Dick Schoot, Lin Xu, Massimo Mischi (Author)
    18257
    DOI: https://doi.org/10.5826/tuj.2026.18257
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    Ultrasound-guided lymph node biopsies: feasible and safe use of pathology services in a resource-limited, high TB/HIV prevalence setting

    Tapiwa Kumwenda, Veronica Phiri, Kelvin Rambik, Bianca Sossen, Tamiwe Tomoka, George Fedoriw, Mathews S. Painschab, Ethel Rambiki, Claudia Wallrauch, Tom Heller (Author)
    18321
    DOI: https://doi.org/10.5826/tuj.2026.18321

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    Prenatal 2D/3D Ultrasound in Fetal Dural Sinus Malformations: Case Series and Prognostic Insights

    Ke-xiong Niu, Jing-jing Ye, Bin Ma, Zhi-cheng Yue, Tian-gang Li (Author)
    18126
    DOI: https://doi.org/10.5826/tuj.2026.18126
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