These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
438 related articles for article (PubMed ID: 35928032)
1. Early prediction of treatment response to neoadjuvant chemotherapy based on longitudinal ultrasound images of HER2-positive breast cancer patients by Siamese multi-task network: A multicentre, retrospective cohort study. Liu Y; Wang Y; Wang Y; Xie Y; Cui Y; Feng S; Yao M; Qiu B; Shen W; Chen D; Du G; Chen X; Liu Z; Li Z; Yang X; Liang C; Wu L EClinicalMedicine; 2022 Oct; 52():101562. PubMed ID: 35928032 [TBL] [Abstract][Full Text] [Related]
2. A transformer-based deep learning model for early prediction of lymph node metastasis in locally advanced gastric cancer after neoadjuvant chemotherapy using pretreatment CT images. Zheng Y; Qiu B; Liu S; Song R; Yang X; Wu L; Chen Z; Tuersun A; Yang X; Wang W; Liu Z EClinicalMedicine; 2024 Sep; 75():102805. PubMed ID: 39281097 [TBL] [Abstract][Full Text] [Related]
3. Automated and reusable deep learning (AutoRDL) framework for predicting response to neoadjuvant chemotherapy and axillary lymph node metastasis in breast cancer using ultrasound images: a retrospective, multicentre study. You J; Huang Y; Ouyang L; Zhang X; Chen P; Wu X; Jin Z; Shen H; Zhang L; Chen Q; Pei S; Zhang B; Zhang S EClinicalMedicine; 2024 Mar; 69():102499. PubMed ID: 38440400 [TBL] [Abstract][Full Text] [Related]
4. Individualized model for predicting pathological complete response to neoadjuvant chemotherapy in patients with breast cancer: A multicenter study. Qian B; Yang J; Zhou J; Hu L; Zhang S; Ren M; Qu X Front Endocrinol (Lausanne); 2022; 13():955250. PubMed ID: 36060977 [TBL] [Abstract][Full Text] [Related]
5. Longitudinal MRI-based fusion novel model predicts pathological complete response in breast cancer treated with neoadjuvant chemotherapy: a multicenter, retrospective study. Huang Y; Zhu T; Zhang X; Li W; Zheng X; Cheng M; Ji F; Zhang L; Yang C; Wu Z; Ye G; Lin Y; Wang K EClinicalMedicine; 2023 Apr; 58():101899. PubMed ID: 37007742 [TBL] [Abstract][Full Text] [Related]
6. Multiregional dynamic contrast-enhanced MRI-based integrated system for predicting pathological complete response of axillary lymph node to neoadjuvant chemotherapy in breast cancer: multicentre study. Li Z; Gao J; Zhou H; Li X; Zheng T; Lin F; Wang X; Chu T; Wang Q; Wang S; Cao K; Liang Y; Zhao F; Xie H; Xu C; Zhang H; Niu Q; Ma H; Mao N EBioMedicine; 2024 Sep; 107():105311. PubMed ID: 39191174 [TBL] [Abstract][Full Text] [Related]
7. Highly sensitive detection platform-based diagnosis of oesophageal squamous cell carcinoma in China: a multicentre, case-control, diagnostic study. Wang Y; Xing S; Xu YW; Xu QX; Ji MF; Peng YH; Wu YX; Wu M; Xue N; Zhang B; Xie SH; Zhu RD; Ou XY; Huang Q; Tian BY; Li HL; Jiang Y; Yao XB; Li JP; Ling L; Cao SM; Zhong Q; Liu WL; Zeng MS Lancet Digit Health; 2024 Oct; 6(10):e705-e717. PubMed ID: 39332854 [TBL] [Abstract][Full Text] [Related]
8. Ultrasound and clinicopathological characteristics-based model for prediction of pathologic response to neoadjuvant chemotherapy in HER2-positive breast cancer: a case-control study. Sui L; Yan Y; Jiang T; Ou D; Chen C; Lai M; Ni C; Zhu X; Wang L; Yang C; Li W; Yao J; Xu D Breast Cancer Res Treat; 2023 Nov; 202(1):45-55. PubMed ID: 37639063 [TBL] [Abstract][Full Text] [Related]
9. Development and validation of a radiopathomics model to predict pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer: a multicentre observational study. Feng L; Liu Z; Li C; Li Z; Lou X; Shao L; Wang Y; Huang Y; Chen H; Pang X; Liu S; He F; Zheng J; Meng X; Xie P; Yang G; Ding Y; Wei M; Yun J; Hung MC; Zhou W; Wahl DR; Lan P; Tian J; Wan X Lancet Digit Health; 2022 Jan; 4(1):e8-e17. PubMed ID: 34952679 [TBL] [Abstract][Full Text] [Related]
10. Deep learning radiopathomics based on preoperative US images and biopsy whole slide images can distinguish between luminal and non-luminal tumors in early-stage breast cancers. Huang Y; Yao Z; Li L; Mao R; Huang W; Hu Z; Hu Y; Wang Y; Guo R; Tang X; Yang L; Wang Y; Luo R; Yu J; Zhou J EBioMedicine; 2023 Aug; 94():104706. PubMed ID: 37478528 [TBL] [Abstract][Full Text] [Related]
11. A CT-based deep learning radiomics nomogram for predicting the response to neoadjuvant chemotherapy in patients with locally advanced gastric cancer: A multicenter cohort study. Cui Y; Zhang J; Li Z; Wei K; Lei Y; Ren J; Wu L; Shi Z; Meng X; Yang X; Gao X EClinicalMedicine; 2022 Apr; 46():101348. PubMed ID: 35340629 [TBL] [Abstract][Full Text] [Related]
12. Accurate classification of pulmonary nodules by a combined model of clinical, imaging, and cell-free DNA methylation biomarkers: a model development and external validation study. He J; Wang B; Tao J; Liu Q; Peng M; Xiong S; Li J; Cheng B; Li C; Jiang S; Qiu X; Yang Y; Ye Z; Zeng F; Zhang J; Liu D; Li W; Chen Z; Zeng Q; Fan JB; Liang W Lancet Digit Health; 2023 Oct; 5(10):e647-e656. PubMed ID: 37567793 [TBL] [Abstract][Full Text] [Related]
13. Artificial intelligence-based model for lymph node metastases detection on whole slide images in bladder cancer: a retrospective, multicentre, diagnostic study. Wu S; Hong G; Xu A; Zeng H; Chen X; Wang Y; Luo Y; Wu P; Liu C; Jiang N; Dang Q; Yang C; Liu B; Shen R; Chen Z; Liao C; Lin Z; Wang J; Lin T Lancet Oncol; 2023 Apr; 24(4):360-370. PubMed ID: 36893772 [TBL] [Abstract][Full Text] [Related]
14. An integrated deep learning model for the prediction of pathological complete response to neoadjuvant chemotherapy with serial ultrasonography in breast cancer patients: a multicentre, retrospective study. Wu L; Ye W; Liu Y; Chen D; Wang Y; Cui Y; Li Z; Li P; Li Z; Liu Z; Liu M; Liang C; Yang X; Xie Y; Wang Y Breast Cancer Res; 2022 Nov; 24(1):81. PubMed ID: 36414984 [TBL] [Abstract][Full Text] [Related]
15. Ultrasound-based deep learning radiomics in the assessment of pathological complete response to neoadjuvant chemotherapy in locally advanced breast cancer. Jiang M; Li CL; Luo XM; Chuan ZR; Lv WZ; Li X; Cui XW; Dietrich CF Eur J Cancer; 2021 Apr; 147():95-105. PubMed ID: 33639324 [TBL] [Abstract][Full Text] [Related]
16. Deep learning for predicting major pathological response to neoadjuvant chemoimmunotherapy in non-small cell lung cancer: A multicentre study. She Y; He B; Wang F; Zhong Y; Wang T; Liu Z; Yang M; Yu B; Deng J; Sun X; Wu C; Hou L; Zhu Y; Yang Y; Hu H; Dong D; Chen C; Tian J EBioMedicine; 2022 Dec; 86():104364. PubMed ID: 36395737 [TBL] [Abstract][Full Text] [Related]
17. Artificial intelligence-based models enabling accurate diagnosis of ovarian cancer using laboratory tests in China: a multicentre, retrospective cohort study. Cai G; Huang F; Gao Y; Li X; Chi J; Xie J; Zhou L; Feng Y; Huang H; Deng T; Zhou Y; Zhang C; Luo X; Xie X; Gao Q; Zhen X; Liu J Lancet Digit Health; 2024 Mar; 6(3):e176-e186. PubMed ID: 38212232 [TBL] [Abstract][Full Text] [Related]
18. Artificial intelligence-assisted ultrasound image analysis to discriminate early breast cancer in Chinese population: a retrospective, multicentre, cohort study. Liao J; Gui Y; Li Z; Deng Z; Han X; Tian H; Cai L; Liu X; Tang C; Liu J; Wei Y; Hu L; Niu F; Liu J; Yang X; Li S; Cui X; Wu X; Chen Q; Wan A; Jiang J; Zhang Y; Luo X; Wang P; Cai Z; Chen L EClinicalMedicine; 2023 Jun; 60():102001. PubMed ID: 37251632 [TBL] [Abstract][Full Text] [Related]
19. Deep radiomics-based fusion model for prediction of bevacizumab treatment response and outcome in patients with colorectal cancer liver metastases: a multicentre cohort study. Zhou S; Sun D; Mao W; Liu Y; Cen W; Ye L; Liang F; Xu J; Shi H; Ji Y; Wang L; Chang W EClinicalMedicine; 2023 Nov; 65():102271. PubMed ID: 37869523 [TBL] [Abstract][Full Text] [Related]
20. Impact of tumour stroma-immune interactions on survival prognosis and response to neoadjuvant chemotherapy in bladder cancer. Liu L; Xu L; Wu D; Zhu Y; Li X; Xu C; Chen K; Lin Y; Lao J; Cai P; Li X; Luo Y; Li X; Huang J; Lin T; Zhong W EBioMedicine; 2024 Jun; 104():105152. PubMed ID: 38728838 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]