# Evaluation and accurate diagnoses of pediatric diseases using artificial intelligence

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/evaluation-and-accurate-diagnoses-of-pediatric-diseases-using-artificial/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Huiying Liang,Brian Tsui,Hao Ni,Carolina C. S. Valentim,Sally L. Baxter,Guangjian Liu,Wenjia Cai,Daniel Kermany,Xin Sun,Jiancong Chen,Liya He,Jie Zhu,Tian Pin,Hua Shao,Lianghong Zheng,Rui Hou,Sierra Hewett,Gen Li,Ping Liang,Xuan Zang,Zhiqi Zhang,Liyan Pan,Huimin Cai,Rujuan Ling,Shuhua Li,Yongwang Cui,Shusheng Tang,Hong Ye,Xiaoyan Huang,Waner He,Wenqing Liang,Qing Zhang,Jianmin Jiang,Wei Yu,Jianqun Gao,Wanxing Ou,Yingmin Deng,Qiaozhen Hou,Bei Wang,Cuichan Yao,Yan Liang,Shu Zhang,Yaou Duan,Runze Zhang,Sarah Gibson,Charlotte L Zhang,Oulan Li,Edward D. Zhang,Gabriel Karin,Nathan Nguyen,Xiaokang Wu,Cindy Wen,Jie Xu,W. Xu,Bochu Wang,Winston Wang,Jing Li,Bianca Ribeiro Pizzato,Caroline Bao,Daoman Xiang,Wan‐Ting He,Suiqin He,Yugui Zhou,Weldon W. Haw,Michael H. Goldbaum,Adriana H. Tremoulet,Chun‐Nan Hsu,Hannah Carter,Long Zhu,Kang Zhang,Huimin Xia |
| Citations | 714 |
| DOI | 10.1038/s41591-018-0335-9 |
| Fields | Computer Science,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2911462778 |
| PMID | 30742121 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Wenjia Cai](https://scholariq.org/researchers/wenjia-cai/)

## Paper journal

- [Nature Medicine](https://scholariq.org/journals/nature-medicine/)

## Paper primary topic

- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)

## Paper topics

- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)
- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.