565 related articles for article (PubMed ID: 35848703)
1. Convolutional neural network-based artificial intelligence for the diagnosis of early esophageal cancer based on endoscopic images: A meta-analysis.
Ma H; Wang L; Chen Y; Tian L
Saudi J Gastroenterol; 2022; 28(5):332-340. PubMed ID: 35848703
[TBL] [Abstract][Full Text] [Related]
2. MRI-based radiomics for the diagnosis of triple-negative breast cancer: a meta-analysis.
Sha YS; Chen JF
Clin Radiol; 2022 Sep; 77(9):655-663. PubMed ID: 35641339
[TBL] [Abstract][Full Text] [Related]
3. Meta-analysis of machine learning models for the diagnosis of central precocious puberty based on clinical, hormonal (laboratory) and imaging data.
Chen Y; Huang X; Tian L
Front Endocrinol (Lausanne); 2024; 15():1353023. PubMed ID: 38590824
[TBL] [Abstract][Full Text] [Related]
4. Application of artificial intelligence in the diagnosis of subepithelial lesions using endoscopic ultrasonography: a systematic review and meta-analysis.
Liu XY; Song W; Mao T; Zhang Q; Zhang C; Li XY
Front Oncol; 2022; 12():915481. PubMed ID: 36046054
[TBL] [Abstract][Full Text] [Related]
5. Differential diagnosis for esophageal protruded lesions using a deep convolution neural network in endoscopic images.
Zhang M; Zhu C; Wang Y; Kong Z; Hua Y; Zhang W; Si X; Ye B; Xu X; Li L; Heng D; Liu B; Tian S; Wu J; Dang Y; Zhang G
Gastrointest Endosc; 2021 Jun; 93(6):1261-1272.e2. PubMed ID: 33065026
[TBL] [Abstract][Full Text] [Related]
6. Application of convolutional neural network-based endoscopic imaging in esophageal cancer or high-grade dysplasia: A systematic review and meta-analysis.
Zhang JQ; Mi JJ; Wang R
World J Gastrointest Oncol; 2023 Nov; 15(11):1998-2016. PubMed ID: 38077641
[TBL] [Abstract][Full Text] [Related]
7. Deep learning or radiomics based on CT for predicting the response of gastric cancer to neoadjuvant chemotherapy: a meta-analysis and systematic review.
Bao Z; Du J; Zheng Y; Guo Q; Ji R
Front Oncol; 2024; 14():1363812. PubMed ID: 38601765
[TBL] [Abstract][Full Text] [Related]
8. Accuracy of artificial intelligence-assisted detection of esophageal cancer and neoplasms on endoscopic images: A systematic review and meta-analysis.
Zhang SM; Wang YJ; Zhang ST
J Dig Dis; 2021 Jun; 22(6):318-328. PubMed ID: 33871932
[TBL] [Abstract][Full Text] [Related]
9. Application of artificial intelligence using a convolutional neural network for diagnosis of early gastric cancer based on magnifying endoscopy with narrow-band imaging.
Ueyama H; Kato Y; Akazawa Y; Yatagai N; Komori H; Takeda T; Matsumoto K; Ueda K; Matsumoto K; Hojo M; Yao T; Nagahara A; Tada T
J Gastroenterol Hepatol; 2021 Feb; 36(2):482-489. PubMed ID: 32681536
[TBL] [Abstract][Full Text] [Related]
10. Diagnostic Performance of Artificial Intelligence-Based Models for the Detection of Early Esophageal Cancers in Barret's Esophagus: A Meta-Analysis of Patient-Based Studies.
Bhatti KM; Khanzada ZS; Kuzman M; Ali SM; Iftikhar SY; Small P
Cureus; 2021 Jun; 13(6):e15447. PubMed ID: 34258114
[TBL] [Abstract][Full Text] [Related]
11. Application of convolutional neural network in the diagnosis of the invasion depth of gastric cancer based on conventional endoscopy.
Zhu Y; Wang QC; Xu MD; Zhang Z; Cheng J; Zhong YS; Zhang YQ; Chen WF; Yao LQ; Zhou PH; Li QL
Gastrointest Endosc; 2019 Apr; 89(4):806-815.e1. PubMed ID: 30452913
[TBL] [Abstract][Full Text] [Related]
12. Artificial Intelligence in Gastric Cancer: Identifying Gastric Cancer Using Endoscopic Images with Convolutional Neural Network.
Islam MM; Poly TN; Walther BA; Lin MC; Li YJ
Cancers (Basel); 2021 Oct; 13(21):. PubMed ID: 34771416
[TBL] [Abstract][Full Text] [Related]
13. Diagnostic accuracy of shear wave elastography for endometrial cancer: A meta-analysis.
Bian J; Li J; Liu Y
Medicine (Baltimore); 2023 Jan; 102(4):e32700. PubMed ID: 36705368
[TBL] [Abstract][Full Text] [Related]
14. ME-NBI combined with endoscopic ultrasonography for diagnosing and staging the invasion depth of early esophageal cancer: a diagnostic meta-analysis.
Su F; Zhu M; Feng R; Li Y
World J Surg Oncol; 2022 Oct; 20(1):343. PubMed ID: 36253783
[TBL] [Abstract][Full Text] [Related]
15. Diagnostic accuracy of convolutional neural network-based endoscopic image analysis in diagnosing gastric cancer and predicting its invasion depth: a systematic review and meta-analysis.
Xie F; Zhang K; Li F; Ma G; Ni Y; Zhang W; Wang J; Li Y
Gastrointest Endosc; 2022 Apr; 95(4):599-609.e7. PubMed ID: 34979114
[TBL] [Abstract][Full Text] [Related]
16. Artificial intelligence model on chest imaging to diagnose COVID-19 and other pneumonias: A systematic review and meta-analysis.
Jia LL; Zhao JX; Pan NN; Shi LY; Zhao LP; Tian JH; Huang G
Eur J Radiol Open; 2022; 9():100438. PubMed ID: 35996746
[TBL] [Abstract][Full Text] [Related]
17. Accuracy of convolutional neural network-based artificial intelligence in diagnosis of gastrointestinal lesions based on endoscopic images: A systematic review and meta-analysis.
Mohan BP; Khan SR; Kassab LL; Ponnada S; Dulai PS; Kochhar GS
Endosc Int Open; 2020 Nov; 8(11):E1584-E1594. PubMed ID: 33140014
[No Abstract] [Full Text] [Related]
18. Artificial intelligence technique in detection of early esophageal cancer.
Huang LM; Yang WJ; Huang ZY; Tang CW; Li J
World J Gastroenterol; 2020 Oct; 26(39):5959-5969. PubMed ID: 33132647
[TBL] [Abstract][Full Text] [Related]
19. Artificial Intelligence-Assisted Endoscopic Diagnosis of Early Upper Gastrointestinal Cancer: A Systematic Review and Meta-Analysis.
Luo D; Kuang F; Du J; Zhou M; Liu X; Luo X; Tang Y; Li B; Su S
Front Oncol; 2022; 12():855175. PubMed ID: 35756602
[TBL] [Abstract][Full Text] [Related]
20. Artificial Intelligence for the Prediction of Helicobacter Pylori Infection in Endoscopic Images: Systematic Review and Meta-Analysis Of Diagnostic Test Accuracy.
Bang CS; Lee JJ; Baik GH
J Med Internet Res; 2020 Sep; 22(9):e21983. PubMed ID: 32936088
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
