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Journal Abstract Search

171 related items for PubMed ID: 39015174

  • 1. Improving the diagnostic performance of inexperienced readers for thyroid nodules through digital self-learning and artificial intelligence assistance.
    Lee SE, Kim HJ, Jung HK, Jung JH, Jeon JH, Lee JH, Hong H, Lee EJ, Kim D, Kwak JY.
    Front Endocrinol (Lausanne); 2024; 15():1372397. PubMed ID: 39015174
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  • 2. Learnability of Thyroid Nodule Assessment on Ultrasonography: Using a Big Data Set.
    Yoon J, Lee E, Lee HS, Cho S, Son J, Kwon H, Yoon JH, Park VY, Lee M, Rho M, Kim D, Kwak JY.
    Ultrasound Med Biol; 2023 Dec; 49(12):2581-2589. PubMed ID: 37758528
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  • 3. A Computer-Aided Diagnosis System Using Artificial Intelligence for the Diagnosis and Characterization of Thyroid Nodules on Ultrasound: Initial Clinical Assessment.
    Choi YJ, Baek JH, Park HS, Shim WH, Kim TY, Shong YK, Lee JH.
    Thyroid; 2017 Apr; 27(4):546-552. PubMed ID: 28071987
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  • 5. The clinical value of artificial intelligence in assisting junior radiologists in thyroid ultrasound: a multicenter prospective study from real clinical practice.
    Xu D, Sui L, Zhang C, Xiong J, Wang VY, Zhou Y, Zhu X, Chen C, Zhao Y, Xie Y, Kong W, Yao J, Xu L, Zhai Y, Wang L.
    BMC Med; 2024 Jul 12; 22(1):293. PubMed ID: 38992655
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  • 8. A Comparison of the Performances of Artificial Intelligence System and Radiologists in the Ultrasound Diagnosis of Thyroid Nodules.
    He LT, Chen FJ, Zhou DZ, Zhang YX, Li YS, Tang MX, Tang JX, Liu S, Chen ZJ, Tang Q.
    Curr Med Imaging; 2022 Jul 12; 18(13):1369-1377. PubMed ID: 35466880
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  • 13. Effectiveness evaluation of computer-aided diagnosis system for the diagnosis of thyroid nodules on ultrasound: A systematic review and meta-analysis.
    Zhao WJ, Fu LR, Huang ZM, Zhu JQ, Ma BY.
    Medicine (Baltimore); 2019 Aug 12; 98(32):e16379. PubMed ID: 31393347
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  • 16. Deep learning-based artificial intelligence model to assist thyroid nodule diagnosis and management: a multicentre diagnostic study.
    Peng S, Liu Y, Lv W, Liu L, Zhou Q, Yang H, Ren J, Liu G, Wang X, Zhang X, Du Q, Nie F, Huang G, Guo Y, Li J, Liang J, Hu H, Xiao H, Liu Z, Lai F, Zheng Q, Wang H, Li Y, Alexander EK, Wang W, Xiao H.
    Lancet Digit Health; 2021 Apr 12; 3(4):e250-e259. PubMed ID: 33766289
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  • 18. An integrated AI model to improve diagnostic accuracy of ultrasound and output known risk features in suspicious thyroid nodules.
    Wang J, Jiang J, Zhang D, Zhang YZ, Guo L, Jiang Y, Du S, Zhou Q.
    Eur Radiol; 2022 Mar 12; 32(3):2120-2129. PubMed ID: 34657970
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  • 19. A Comparative Analysis of Two Machine Learning-Based Diagnostic Patterns with Thyroid Imaging Reporting and Data System for Thyroid Nodules: Diagnostic Performance and Unnecessary Biopsy Rate.
    Zhao CK, Ren TT, Yin YF, Shi H, Wang HX, Zhou BY, Wang XR, Li X, Zhang YF, Liu C, Xu HX.
    Thyroid; 2021 Mar 12; 31(3):470-481. PubMed ID: 32781915
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  • 20. Accuracy of Ultrasound Diagnosis of Thyroid Nodules Based on Artificial Intelligence-Assisted Diagnostic Technology: A Systematic Review and Meta-Analysis.
    Xue Y, Zhou Y, Wang T, Chen H, Wu L, Ling H, Wang H, Qiu L, Ye D, Wang B.
    Int J Endocrinol; 2022 Mar 12; 2022():9492056. PubMed ID: 36193283
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