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Application progress of MRI-based artificial intelligence in endometrial and cervical cancers
WANG Xianhong  BI Qiu  BI Guoli 

WANG X H, BI Q, BI G L. Application progress of MRI-based artificial intelligence in endometrial and cervical cancers[J]. Chin J Magn Reson Imaging, 2023, 14(8): 182-186, 202. DOI:10.12015/issn.1674-8034.2023.08.032.

[Abstract] The evaluation efficiency of traditional imaging observation in the diagnosis, staging, and prognosis of endometrial carcinoma (EC) and cervical cancer (CC) remains to be improved. In recent years, artificial intelligence (AI) has made significant advances in medical imaging fields such as ultrasound, CT, MRI, etc. With the advantage of high throughput extraction of data features, AI can observe the internal heterogeneity of lesions that cannot be recognized by the naked eye. At present, AI analysis is widely used in the diagnosis and treatment of EC and CC, but there is still a lack of systematic review of the application of MRI-based AI analysis in EC and CC. In this article, we review the definition and medical applications of AI, as well as preoperative diagnosis, staging, pathological histological assessment, and prognosis prediction of MRI-based AI analysis in EC and CC, in order to further achieve early diagnosis, individualized treatment, and accurate prognosis for patients with EC and CC. It is expected that MRI-based AI technology can penetrate to the pathological, molecular, and even genetic levels in the future, providing new ideas for promoting personalized precision medicine.
[Keywords] endometrial cancer;cervical cancer;magnetic resonance imaging;radiomics;artificial intelligence;diagnosis;staging;prognosis

WANG Xianhong1, 2   BI Qiu2   BI Guoli2*  

1 College of Medicine, Kunming University of Science and Technology, Kunming 650000, China

2 Department of MRI, the Affiliated Hospital of Kunming University of Science and Technology, the First People's Hospital of Yunnan Province, Kunming 650032, China

Corresponding author: Bi GL, E-mail:

Conflicts of interest   None.

ACKNOWLEDGMENTS Basic Research on Application of Joint Special Funding of Science and Technology Department of Yunnan Province-Kunming Medical University (No. 202001AY070001-110); Kunming University of Science and Technology & the First People's Hospital of Yunnan Province Joint Special Project on Medical Research (No. KUST-KH2022027Y).
Received  2023-01-06
Accepted  2023-06-25
DOI: 10.12015/issn.1674-8034.2023.08.032
WANG X H, BI Q, BI G L. Application progress of MRI-based artificial intelligence in endometrial and cervical cancers[J]. Chin J Magn Reson Imaging, 2023, 14(8): 182-186, 202. DOI:10.12015/issn.1674-8034.2023.08.032.

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