AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (1.6 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Publishing Language: Chinese

Advances and perspective of artificial intelligence in clinical area

Yazhou WU( )Xicheng CHENDong YI
Department of Health Statistics, Faculty of Military Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
Show Author Information

Abstract

Artificial intelligence (AI) has led to numerous technical innovations in medicine and revolutionized the conventional mode of medicine. AI in medicine mainly consists of machine learning (ML), deep learning (DL), expert systems (ES), intelligent robots (IR), and the internet of medical things (IoMT) and other emerging AI technology approaches. Intelligent screening, intelligent diagnosis, risk prediction, and adjuvant therapy are major applications of AI in medicine. Currently, AI in medicine has made a significant breakthrough, and quality governance of big data, innovation of new technology, integration of multi domain knowledge and personalized medicine decision-making will show a more promising development in the clinical field.

CLC number: R319;R4 Document code: A

References

【1】
【1】
 
 
Journal of Army Medical University
Pages 89-102

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
WU Y, CHEN X, YI D. Advances and perspective of artificial intelligence in clinical area. Journal of Army Medical University, 2022, 44(1): 89-102. https://doi.org/10.16016/j.1000-5404.202112092

728

Views

17

Downloads

0

Crossref

10

Scopus

6

CSCD

Received: 11 December 2021
Revised: 17 December 2021
Published: 15 January 2022
© 2022 Journal of Army Medical University