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guangdong ai
(7,029 results)?
MRI Radiomics-Based Machine Learning Models for Ki67 Expression and Gleason Grade Group Prediction in Prostate Cancer.
Cancers (Basel). 2023 Sep 13;15(18):4536. doi: 10.3390/cancers15184536.
Cancers (Basel). 2023.
PMID: 37760505
Free PMC article.
Do plaque-related factors affect the diagnostic performance of an artificial intelligence coronary-assisted diagnosis system? Comparison with invasive coronary angiography.
Xu J, Chen L, Wu X, Li C, Ai G, Liu Y, Tian B, Guo D, Fang Z.
Xu J, et al. Among authors: ai g.
Eur Radiol. 2022 Mar;32(3):1866-1878. doi: 10.1007/s00330-021-08299-6. Epub 2021 Sep 26.
Eur Radiol. 2022.
PMID: 34564743
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Radiomic-based machine learning model for the accurate prediction of prostate cancer risk stratification.
Shu X, Liu Y, Qiao X, Ai G, Liu L, Liao J, Deng Z, He X.
Shu X, et al. Among authors: ai g.
Br J Radiol. 2023 Mar;96(1143):20220238. doi: 10.1259/bjr.20220238. Epub 2023 Jan 4.
Br J Radiol. 2023.
PMID: 36475858
Free PMC article.
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Peritumoral Radiomics Strategy Based on Ensemble Learning for the Prediction of Gleason Grade Group of Prostate Cancer.
Qiu Y, Liu YF, Shu X, Qiao XF, Ai GY, He XJ.
Qiu Y, et al.
Acad Radiol. 2023 Sep;30 Suppl 1:S1-S13. doi: 10.1016/j.acra.2023.06.011. Epub 2023 Jun 29.
Acad Radiol. 2023.
PMID: 37393175
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Radiomics-Based Machine Learning Models for Predicting P504s/P63 Immunohistochemical Expression: A Noninvasive Diagnostic Tool for Prostate Cancer.
Liu YF, Shu X, Qiao XF, Ai GY, Liu L, Liao J, Qian S, He XJ.
Liu YF, et al.
Front Oncol. 2022 Jun 20;12:911426. doi: 10.3389/fonc.2022.911426. eCollection 2022.
Front Oncol. 2022.
PMID: 35795067
Free PMC article.
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