Intelligent Medicine, sponsored by the Chinese Medical Association and co-published by Chinese Medical Association Publishing House and Elsevier, harvests the first impact factor: 4.4. Ranked in Q1 region (37/169) in COMPUTER SCIENCE and INTERDISCIPLINARY APPLICATIONS and Q2 region (12/44) in MEDICAL INFORMATICS, respectively.

Journal Impact Factor Contributing Papers and Authors
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|
Item Title |
Authors |
Number of Citations |
|
1 |
Comparative analysis of breast cancer detection using machine learning and biosensors |
Amethiya, Yash; Pipariya, Prince; Patel, Shlok; Shah, Manan |
15 |
|
2 |
A survey on deep learning in medical image reconstruction |
Ahishakiye, Emmanuel; Van Gijzen, Martin Bastiaan; Tumwiine, Julius; Wario, Ruth; Obungoloch, Johnes |
9 |
|
3 |
Social media study of public opinions on potential COVID-19 vaccines: informing dissent, disparities, and dissemination |
Lyu, Hanjia; Wang, Junda; Wu, Wei; Duong, Viet; Zhang, Xiyang; Dye, Timothy D.; Luo, Jiebo |
9 |
|
4 |
Mobile health technology: a novel tool in chronic disease management |
Fan, Kaman; Zhao, Yi |
7 |
|
5 |
A survey of automated International Classification of Diseases coding: development, challenges, and applications |
Yan, Chenwei; Fu, Xiangling; Liu, Xien; Zhang, Yuanqiu; Gao, Yue; Wu, Ji; Li, Qiang |
6 |
|
6 |
Artificial intelligence for COVID-19: battling the pandemic with computational intelligence |
Xu, Zhenxing; Su, Chang; Xiao, Yunyu; Wang, Fei |
6 |
|
7 |
Applying data mining techniques to classify patients with suspected hepatitis C virus infection |
Safdari, Reza; Deghatipour, Amir; Gholamzadeh, Marsa; Maghooli, Keivan |
4 |
|
8 |
Artificial intelligence-based medical image segmentation for 3D printing and naked eye 3D visualization |
Jia, Guang; Zhou, Jiejing; Li, Tanping; Zhang, Xiaoling; Gao, Jinglong; Huang, Xunan; Tao, Sen; Zhang, Xianghuai; Zhao, Yue; Wang, Hongcai; et al. |
3 |
|
9 |
Construction of an artificial intelligence system in dermatology: effectiveness and consideration of Chinese Skin Image Database (CSID) |
Li, Chengxu; Meng, Rusong; Xu, Feng; Ma, Weimin; Cui, Yong; Fei, Wenmin; Han, Yang; Ning, Xiaoli; Wang, Ziyi; Li, Keke; et al. |
3 |
|
10 |
Digital health interventions for COVID-19 in China: a retrospective analysis |
Chen, Mengji; Xu, Shan; Husain, Lewis; Galea, Gauden |
3 |
|
11 |
Nutritional and physical improvements in older adults through the DOREMI remote coaching approach: a real-world study |
Vozzi, Federico; Riso, Patrizia; Parodi, Oberdan; Palumbo, Filippo; Ferro, Erina; Kreiner, Karl; Giugni, Franca; Dutton, Rachel; Hall, Shirley; Musian, Daniele; et al. |
3 |
|
12 |
Accurate and efficient pulmonary CT imaging workflow for COVID-19 patients by the combination of intelligent guided robot and automatic positioning technology |
Gang, Yadong; Chen, Xiongfeng; Wang, Hanlun; Li, Jianying; Guo, Ying; Wen, Bin; Hu, Jinxiang; Xu, Haibo; Wang, Xinghuan |
2 |
|
13 |
Artificial intelligence-based approaches for COVID-19 patient management |
Lan, Lan; Sun, Wenbo; Xu, Dan; Yu, Minhua; Xiao, Feng; Hu, Huijuan; Xu, Haibo; Wang, Xinghuan |
2 |
|
14 |
Exploring the social, ethical, legal, and responsibility dimensions of artificial intelligence for health - a new column in Intelligent Medicine |
Rosemann, Achim; Zhang, Xinqing |
2 |
|
15 |
Hybrid model enabling highly efficient follicular segmentation in thyroid cytopathological whole slide image |
Zhu, Chuang; Tao, Siyan; Chen, Huang; Wang, Ying; Liu, Jun; Jin, Mulan; Li, Minzhen |
2 |
|
16 |
Non-invasive cuffless blood pressure and heart rate monitoring using impedance cardiography |
Ghosh, Sudipta; Chattopadhyay, Bhabani Prasad; Roy, Ram Mohan; Mukherjee, Jayanta; Mahadevappa, Manjunatha |
2 |
|
17 |
Predicting the pathological status of mammographic microcalcifications through a radiomics approach |
Li, Min; Zhu, Liyu; Zhou, Guangquan; He, Jianan; Jiang, Yanni; Chen, Yang |
2 |
|
18 |
Annotation and quality control specifications for fundus color photograph |
Zhang, Xiulan; Xu, Yanwu; Yang, Weihua |
1 |
|
19 |
Application of artificial intelligence in clinical diagnosis and treatment: an overview of systematic reviews |
Wu, Shouyuan; Song, Yang; Mathew, Joseph L.; Xun, Yangqin; Yang, Nan; Lee, Myeong Soo; Chen, Yaolong; Wang, Jianjian; Guo, Qiangqiang; Lan, Hui; et al. |
1 |
|
20 |
Artificial intelligence recognition of pathological T stage and tumor invasion in rectal cancer based on large panoramic pathological sections |
Ju, Yiheng; Zheng, Longbo; Zhao, Peng; Xin, Fangjie; Wang, Fengjiao; Gao, Yuan; Zhang, Xianxiang; Wang, Dongsheng; Lu, Yun |
1 |
|
21 |
Development and application of a detection platform for colorectal cancer tumor sprouting pathological characteristics based on artificial intelligence |
Lu, Jiaqi; Liu, Ruiqing; Zhang, Yuejuan; Zhang, Xianxiang; Zheng, Longbo; Zhang, Chao; Zhang, Kaiming; Li, Shuai; Lu, Yun |
1 |
|
22 |
In-silico analysis reveals the core targets and mechanisms of CA028, a new derivative of calycosin, in the treatment of colorectal cancer |
Yin, Feiying; Zhang, Xing; Li, Yu; Liang, Xiao; Li, Rong; Chen, Jian |
1 |
|
23 |
Investigation and evaluation of randomized controlled trials for interventions involving artificial intelligence |
Wang, Jianjian; Yang, Nan; Luo, Xufei; Zhou, Qi; Shi, Qianling; Yu, Xuan; Ma, Yanfang; Mathew, Joseph L.; Ahn, Hyeong Sik; Lee, Myeong Soo; et al. |
1 |
|
24 |
Kernel based statistic: identifying topological differences in brain networks |
Ma, Kai; Shao, Wei; Zhu, Qi; Zhang, Daoqiang |
1 |
|
25 |
Ketamine use disorder: preclinical, clinical, and neuroimaging evidence to support proposed mechanisms of actions |
Vines, Leah; Sotelo, Diana; Johnson, Allison; Dennis, Evan; Manza, Peter; Volkow, Nora D.; Wang, Gene-Jack |
1 |
|
26 |
Neuroimaging perspective in targeted treatment for type 2 diabetes melitus and sleep disorders |
von Deneen, Karen M.; Garstka, Malgorzata A. |
1 |
|
27 |
Study design of deep learning based automatic detection of cerebrovascular diseases on medical imaging: a position paper from Chinese Association of Radiologists |
Zhang, Longjiang; Ju, Shenghong; Li, Xiaogang; Li, Xiuli; Liang, Changhong; Liao, Weihua; Liu, Shiyuan; Lu, Zaiming; Ma, Lin; Ren, Ke; et al. |
1 |
|
28 |
The application of artificial intelligence to chest medical image analysis |
Liu, Feng; Tang, Jie; Ma, Jiechao; Wang, Cheng; Ha, Qing; Yu, Yizhou; Zhou, Zhen |
1 |
Intelligent Medicine, an open access, peer-reviewed journal, is sponsored and owned by the Chinese Medical Association, published jointly by Chinese Medical Association Publishing House and Elsevier. Chinese Medical Association is the largest medical science and technology association in China with 89 specialty branches and 700,000 members.
Intelligent Medicine has been indexed by the ESCI, SCOPUS, EI, DOAJ, EmBase databases.
Intelligent Medicine is designated to publish high-quality research and application papers in the multidisciplinary fields of the internet technology, artificial intelligence (AI), data science, medical informatics, and intelligent devices that comprise the foundations of clinical medicine, biomedicine, and public health.
We are calling for papers from worldwide, which are of original contributions to science and practice in the above areas. Clinically original articles are recommended to have solid result validation.
Journal web: https://www.sciencedirect.com/journal/intelligent-medicine
You are also welcome to join the Intelligent Medicine as a Board Member!
If you have any question, please contact us by the official email: im@cmaph.org.
Looking forward to receiving your submission to Intelligent Medicine and joining us!


