日期 影响因子
日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:
–

Predicting pediatric patient rehabilitation outcomes after spinal deformity surgery with artificial intelligence

利用人工智能预测儿童脊柱畸形手术后的康复结果

期刊:
影响因子:
doi:10.1038/s43856-024-00726-1
Shi, Wenqi; Giuste, Felipe O; Zhu, Yuanda; Tamo, Ben J; Nnamdi, Micky C; Hornback, Andrew; Carpenter, Ashley M; Hilton, Coleman; Iwinski, Henry J; Wattenbarger, J Michael; Wang, May D
发表日期：2025
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Greater value add from electronic health records than polygenic risk scores for predicting myocardial infarction in machine learning

在机器学习中，电子健康记录比多基因风险评分更能有效地预测心肌梗死。

期刊:
影响因子:
doi:10.1038/s43856-025-01138-5
Isgut, Monica; Hornback, Andrew; Bao, Han; Sun, Yiting; Choi, Katherine; Anderson, Blake J; Deshpande, Shriprasad R; Chang, Anthony C; Wang, May D
心肌梗塞
心血管
发表日期：2025
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Graph theoretic visualization of patient and health worker messaging in the EHR

利用图论可视化电子病历中患者和医护人员的信息传递

期刊:Frontiers in Artificial Intelligence
影响因子:4.7
doi:10.3389/frai.2024.1422208
Zia Ul Haq, Muhammad; Hornback, Andrew; Harzand, Arash; Gutman, David Andrew; Gallaher, Bradley; Schoenberg, Evan D; Zhu, Yuanda; Wang, May D; Anderson, Blake
发表日期：2024
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Identifying and characterizing disease subpopulations that most benefit from polygenic risk scores

识别和描述最能从多基因风险评分中获益的疾病亚群

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-024-63705-5
Isgut, Monica; Giuste, Felipe; Gloster, Logan; Swain, Aniketh; Choi, Katherine; Hornback, Andrew; Deshpande, Shriprasad R; Wang, May D
发表日期：2024
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Developing a novel causal inference algorithm for personalized biomedical causal graph learning using meta machine learning

利用元机器学习开发一种用于个性化生物医学因果图学习的新型因果推理算法

期刊:BMC Medical Informatics and Decision Making
影响因子:3.8
doi:10.1186/s12911-024-02510-6
Wu, Hang; Shi, Wenqi; Wang, May D
发表日期：2024
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Clinical decision making under uncertainty: a bootstrapped counterfactual inference approach

不确定性下的临床决策：一种基于自举法的反事实推理方法

期刊:BMC Medical Informatics and Decision Making
影响因子:3.8
doi:10.1186/s12911-024-02606-z
Wu, Hang; Shi, Wenqi; Choudhary, Anirudh; Wang, May D
发表日期：2024
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Optimized Clinical Feature Analysis for Improved Cardiovascular Disease Risk Screening

优化临床特征分析以改进心血管疾病风险筛查

期刊:IEEE Open Journal of Engineering in Medicine and Biology
影响因子:2.9
doi:10.1109/OJEMB.2023.3347479
Vyshnya, Sofiya; Epperson, Rachel; Giuste, Felipe; Shi, Wenqi; Hornback, Andrew; Wang, May D
心血管疾病
心血管
发表日期：2024
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MedAdapter: Efficient Test-Time Adaptation of Large Language Models Towards Medical Reasoning

MedAdapter：面向医学推理的大型语言模型的高效测试时自适应

期刊:
影响因子:
doi:10.18653/v1/2024.emnlp-main.1244
Shi, Wenqi; Xu, Ran; Zhuang, Yuchen; Yu, Yue; Sun, Haotian; Wu, Hang; Yang, Carl; Wang, May D
发表日期：2024
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EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records

EHRAgent：代码赋能大型语言模型，实现对电子健康记录的小样本复杂表格推理

期刊:
影响因子:
doi:10.18653/v1/2024.emnlp-main.1245
Shi, Wenqi; Xu, Ran; Zhuang, Yuchen; Yu, Yue; Zhang, Jieyu; Wu, Hang; Zhu, Yuanda; Ho, Joyce; Yang, Carl; Wang, May D
发表日期：2024
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Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models

知识注入式提示：利用大型语言模型评估和推进临床文本数据生成

期刊:
影响因子:
doi:10.18653/v1/2024.findings-acl.916
Xu, Ran; Cui, Hejie; Yu, Yue; Kan, Xuan; Shi, Wenqi; Zhuang, Yuchen; Wang, May D; Jin, Wei; Ho, Joyce C; Yang, Carl
发表日期：2024
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