213 related articles for article (PubMed ID: 37746301)
1. The diagnostic value of machine learning for the classification of malignant bone tumor: a systematic evaluation and meta-analysis.
Li Y; Dong B; Yuan P
Front Oncol; 2023; 13():1207175. PubMed ID: 37746301
[TBL] [Abstract][Full Text] [Related]
2. The differential diagnosis value of radiomics-based machine learning in Parkinson's disease: a systematic review and meta-analysis.
Bian J; Wang X; Hao W; Zhang G; Wang Y
Front Aging Neurosci; 2023; 15():1199826. PubMed ID: 37484694
[TBL] [Abstract][Full Text] [Related]
3. The value of machine learning in preoperative identification of lymph node metastasis status in endometrial cancer: a systematic review and meta-analysis.
Ren Z; Chen B; Hong C; Yuan J; Deng J; Chen Y; Ye J; Li Y
Front Oncol; 2023; 13():1289050. PubMed ID: 38173835
[TBL] [Abstract][Full Text] [Related]
4. The predictive value of radiomics-based machine learning for peritoneal metastasis in gastric cancer patients: a systematic review and meta-analysis.
Zhang F; Wu G; Chen N; Li R
Front Oncol; 2023; 13():1196053. PubMed ID: 37465109
[TBL] [Abstract][Full Text] [Related]
5. The Value of Applying Machine Learning in Predicting the Time of Symptom Onset in Stroke Patients: Systematic Review and Meta-Analysis.
Feng J; Zhang Q; Wu F; Peng J; Li Z; Chen Z
J Med Internet Res; 2023 Oct; 25():e44895. PubMed ID: 37824198
[TBL] [Abstract][Full Text] [Related]
6. Diagnostic performance of radiomics in adrenal masses: A systematic review and meta-analysis.
Zhang H; Lei H; Pang J
Front Oncol; 2022; 12():975183. PubMed ID: 36119492
[TBL] [Abstract][Full Text] [Related]
7. Machine learning for lymph node metastasis prediction of in patients with gastric cancer: A systematic review and meta-analysis.
Li Y; Xie F; Xiong Q; Lei H; Feng P
Front Oncol; 2022; 12():946038. PubMed ID: 36059703
[TBL] [Abstract][Full Text] [Related]
8. Machine learning prediction of motor function in chronic stroke patients: a systematic review and meta-analysis.
Li Q; Chi L; Zhao W; Wu L; Jiao C; Zheng X; Zhang K; Li X
Front Neurol; 2023; 14():1039794. PubMed ID: 37388543
[TBL] [Abstract][Full Text] [Related]
9. Predictive value of radiomics-based machine learning for the disease-free survival in breast cancer: a systematic review and meta-analysis.
Lu D; Yan Y; Jiang M; Sun S; Jiang H; Lu Y; Zhang W; Zhou X
Front Oncol; 2023; 13():1173090. PubMed ID: 37664048
[TBL] [Abstract][Full Text] [Related]
10. Predictive value of machine learning on fracture risk in osteoporosis: a systematic review and meta-analysis.
Wu Y; Chao J; Bao M; Zhang N
BMJ Open; 2023 Dec; 13(12):e071430. PubMed ID: 38070927
[TBL] [Abstract][Full Text] [Related]
11. Artificial intelligence with magnetic resonance imaging for prediction of pathological complete response to neoadjuvant chemoradiotherapy in rectal cancer: A systematic review and meta-analysis.
Jia LL; Zheng QY; Tian JH; He DL; Zhao JX; Zhao LP; Huang G
Front Oncol; 2022; 12():1026216. PubMed ID: 36313696
[TBL] [Abstract][Full Text] [Related]
12. Accuracy of Machine Learning Algorithms for the Diagnosis of Autism Spectrum Disorder: Systematic Review and Meta-Analysis of Brain Magnetic Resonance Imaging Studies.
Moon SJ; Hwang J; Kana R; Torous J; Kim JW
JMIR Ment Health; 2019 Dec; 6(12):e14108. PubMed ID: 31562756
[TBL] [Abstract][Full Text] [Related]
13. Diagnostic value of radiomics in predicting Ki-67 and cytokeratin 19 expression in hepatocellular carcinoma: a systematic review and meta-analysis.
Zhou L; Chen Y; Li Y; Wu C; Xue C; Wang X
Front Oncol; 2023; 13():1323534. PubMed ID: 38234405
[TBL] [Abstract][Full Text] [Related]
14. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
[TBL] [Abstract][Full Text] [Related]
15. Machine and Deep Learning for Tuberculosis Detection on Chest X-Rays: Systematic Literature Review.
Hansun S; Argha A; Liaw ST; Celler BG; Marks GB
J Med Internet Res; 2023 Jul; 25():e43154. PubMed ID: 37399055
[TBL] [Abstract][Full Text] [Related]
16. Predictive value of machine learning for the risk of acute kidney injury (AKI) in hospital intensive care units (ICU) patients: a systematic review and meta-analysis.
Du YH; Guan CJ; Li LY; Gan P
PeerJ; 2023; 11():e16405. PubMed ID: 38034868
[TBL] [Abstract][Full Text] [Related]
17. Accuracy of machine learning in the preoperative identification of ovarian borderline tumors: a meta-analysis.
Qi L; Li X; Yang Y; Zhao M; Lin A; Ma L
Clin Radiol; 2024 Jul; 79(7):501-514. PubMed ID: 38670918
[TBL] [Abstract][Full Text] [Related]
18. The value of machine learning approaches in the diagnosis of early gastric cancer: a systematic review and meta-analysis.
Shi Y; Fan H; Li L; Hou Y; Qian F; Zhuang M; Miao B; Fei S
World J Surg Oncol; 2024 Feb; 22(1):40. PubMed ID: 38297303
[TBL] [Abstract][Full Text] [Related]
19. Radiomics to Differentiate Malignant and Benign Breast Lesions: A Systematic Review and Diagnostic Test Accuracy Meta-Analysis.
Oh KE; Vasandani N; Anwar A
Cureus; 2023 Nov; 15(11):e49015. PubMed ID: 38024014
[TBL] [Abstract][Full Text] [Related]
20. Ultrasound-based deep learning using the VGGNet model for the differentiation of benign and malignant thyroid nodules: A meta-analysis.
Zhu PS; Zhang YR; Ren JY; Li QL; Chen M; Sang T; Li WX; Li J; Cui XW
Front Oncol; 2022; 12():944859. PubMed ID: 36249056
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]