Results 61 to 70 of about 4,408 (109)

[Exploration and Practice of Constructing a New Ecology of Experimental Stomatology Practice Teaching Driven by Digital Intelligence]. [PDF]

Sichuan Da Xue Xue Bao Yi Xue Ban
Zhang Y, Zheng Q, Wang Y, Zhang M, Shen J, Hao A, Han X, Ye L.   +7 more
europepmc   +1 more source

[Construction of a prognosis forecasting model for immuno-therapy response in cancer patients by integrating routine clinical parameters and tumor mutational burden]. [PDF]

Zhejiang Da Xue Xue Bao Yi Xue Ban
Zhu X, Hao S, Cheng Z, Fang W.
europepmc   +1 more source

[Diagnosis and treatment of liver diseases in the era of artificial intelligence]. [PDF]

Zhonghua Gan Zang Bing Za Zhi
Ren LY, Chen DB, Chen HS.
europepmc   +1 more source

[Enhancement of radiomics-based machine learning models for predicting efficacy of high-intensity focused ultrasound ablation of uterine fibroids using undersampling methods]. [PDF]

Nan Fang Yi Ke Da Xue Xue Bao
Cui Y, Feng M, Yao L, Yan J, Li W, Huang Y.   +5 more
europepmc   +1 more source

[Artificial intelligence in predicting pathological complete response to neoadjuvant chemotherapy for breast cancer: current advances and challenges]. [PDF]

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
He S, Li X, Xie Y, Hou J, Han B, Nie S.
europepmc   +1 more source

[Clinical research and medical ethics in the era of artificial intelligence]. [PDF]

Zhonghua Gan Zang Bing Za Zhi
Song X, Gao N, Huang KQ, Chen XY, Deng SJ, Xie C, Peng L.   +6 more
europepmc   +1 more source

[Research progress and future prospects for artificial intelligence in the diagnosis and treatment of fatty liver disease]. [PDF]

Zhonghua Gan Zang Bing Za Zhi
Lin YY, Liu F, Rao HY.
europepmc   +1 more source

课程思政联合CBL教学模式在超声诊断学教学中的应用研究

Zhongguo shiyan zhenduanxue
超声诊断学作为医学基础与临床专业之间的桥梁学科，在现代医疗实践中得到广泛而多样化的应用，被认为是各种临床场景下优选甚至一线的影像学检查方法[1]。进入到超声诊断学临床教学阶段，研究生临床思维及临床技能的全面提升是进一步的培养目标。传统的教学模式以课本为基础、重知识点讲授、轻思维操作能力的培养方式已经不能满足临床教学需求。因此，优化超声诊断学临床教学模式，激发研究生对超声诊断学的学习兴趣，提升主动学习能力尤为重要[2]。
杜佳蕊, 陈丽波, 杨冬艳, 孙志霞, 宋军, 滕登科, 王辉   +6 more
doaj  

[Dual role of tea consumption in gastrointestinal disease risks: analysis using a risk prediction model integrating interpretable machine learning and large language model]. [PDF]

Nan Fang Yi Ke Da Xue Xue Bao
Chen J, Chen Z, Lin Z, Fang M, Shen C, Xu Q, Zhang X, Lu L.   +7 more
europepmc   +1 more source

[Application of an interpretable neural network framework based on the LASSO-proj algorithm for warfarin dose prediction]. [PDF]

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
Zhong C, Zhu Y, Gu X.
europepmc   +1 more source