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Jan 14, 2022 (publication date) through Nov 25, 2024
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Publication Name
World Journal of Clinical Cases
ISSN
2307-8960
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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
| For: | Lyu SY, Zhang Y, Zhang MW, Zhang BS, Gao LB, Bai LT, Wang J. Diagnostic value of artificial intelligence automatic detection systems for breast BI-RADS 4 nodules. World J Clin Cases 2022; 10(2): 518-527 [PMID: 35097077 DOI: 10.12998/wjcc.v10.i2.518] |
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| URL: | https://www.wjgnet.com/2307-8960/full/v10/i2/518.htm |
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Sadam Hussain, Usman Naseem, Mansoor Ali, Daly Betzabeth Avendaño Avalos, Servando Cardona-Huerta, Beatriz Alejandra Bosques Palomo, Jose Gerardo Tamez-Peña. TECRR: a benchmark dataset of radiological reports for BI-RADS classification with machine learning, deep learning, and large language model baselines. BMC Medical Informatics and Decision Making 2024; 24(1) doi: 10.1186/s12911-024-02717-7
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Belinda Lokaj, Marie-Thérèse Pugliese, Karen Kinkel, Christian Lovis, Jérôme Schmid. Barriers and facilitators of artificial intelligence conception and implementation for breast imaging diagnosis in clinical practice: a scoping review. European Radiology 2023; 34(3): 2096 doi: 10.1007/s00330-023-10181-6
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I. P. C. Buzatto, S. A. Recife, L. Miguel, R. M. Bonini, N. Onari, A. L. P. A. Faim, L. Silvestre, D. P. Carlotti, A. Fröhlich, D. G. Tiezzi. Machine learning can reliably predict malignancy of breast lesions based on clinical and ultrasonographic features. Breast Cancer Research and Treatment 2024; doi: 10.1007/s10549-024-07429-0
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