Artificial Intelligence and Digital Medicine

9 Items

All Items

Machine learning to improve prognosis prediction of metastatic clear-cell renal cell carcinoma treated with cytoreductive nephrectomy and systemic therapy

Wenjie Yang, Lin Ma, Jie Dong, Mengchao Wei, Ruoyu Ji, Hualin Chen, Xiaoqiang Xue, Yingjie Li, Zhaoheng Jin, Weifeng Xu, Zhigang Ji

471–482
Machine learning for predicting the survival in osteosarcoma patients: Analysis based on American and Hebei Province cohort

Yahui Hao, Di Liang, Shuo Zhang, Siqi Wu, Daojuan Li, Yingying Wang, Miaomiao Shi, Yutong He

883–893
Leveraging artificial intelligence to identify high-risk patients for postoperative sore throat: An observational study

Qiangqiang Zhou, Xiaoya Liu, Huifang Yun, Yahong Zhao, Kun Shu, Yong Chen, Song Chen

593–605
Gaining consensus on expert rule statements for acute respiratory failure digital twin patient model in intensive care unit using a Delphi method

Amy J. Montgomery, John Litell, Johnny Dang, Laure Flurin, Ognjen Gajic, Amos Lal, on behalf of Digital Twin Platform for education, research, and healthcare delivery investigator group

1108–1117
Early machine learning prediction of hospitalized patients at low risk of respiratory deterioration or mortality in community-acquired pneumonia: Derivation and validation of a multivariable model

Yewande E. Odeyemi, Amos Lal, Erin F. Barreto, Allison M. LeMahieu, Hemang Yadav, Ognjen Gajic, Phillip Schulte

337–345
Development and validation of radiomics machine learning model based on contrast-enhanced computed tomography to predict axillary lymph node metastasis in breast cancer

Jieqiu Zhang, Gaofei Cao, Haowen Pang, Jin Li, Xiaopeng Yao

317–326
Development and validation of a diagnostic model to differentiate spinal tuberculosis from pyogenic spondylitis by combining multiple machine learning algorithms

Chengqian Huang, Jing Zhuo, Chong Liu, Shaofeng Wu, Jichong Zhu, Tianyou Chen, Bin Zhang, Sitan Feng, Chenxing Zhou, Zequn Wang, Shengsheng Huang, Liyi Chen, Xinli Zhan

401–410
Artificial intelligence in renal pathology: Current status and future

Chunyue Feng, Fei Liu

225–234
A novel machine learning-derived four-gene signature predicts STEMI and post-STEMI heart failure

Jialu Yao, Yujia Zhou, Zhichao Yao, Ye Meng, Wangjianfei Yu, Xinyu Yang, Dayong Zhou, Xiaoqin Yang, Yafeng Zhou

423–433