Literature DB >> 32228416

Application and Development of Artificial Intelligence and Intelligent Disease Diagnosis.

Chunyan Ao1, Shunshan Jin2, Hui Ding3, Quan Zou3, Liang Yu1.   

Abstract

With the continuous development of artificial intelligence (AI) technology, big data-supported AI technology with considerable computer and learning capacity has been applied in diagnosing different types of diseases. This study reviews the application of expert systems, neural networks, and deep learning used by AI technology in disease diagnosis. This paper also gives a glimpse of the intelligent diagnosis and treatment of digestive system diseases, respiratory system diseases, and osteoporosis by AI technology. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Entities:  

Keywords:  AI technology; Artificial intelligence; deep learning; disease diagnosis; expert system; neural network

Mesh:

Year:  2020        PMID: 32228416     DOI: 10.2174/1381612826666200331091156

Source DB:  PubMed          Journal:  Curr Pharm Des        ISSN: 1381-6128            Impact factor:   3.116


  3 in total

1.  Pulmonary Nodule Clinical Trial Data Collection and Intelligent Differential Diagnosis for Medical Internet of Things.

Authors:  Weijia Wu; Lizhong Gu; Yuefeng Zhang; Xianping Huang; Weihe Zhou
Journal:  Contrast Media Mol Imaging       Date:  2022-05-26       Impact factor: 3.009

2.  Identification of Methicillin-Resistant Staphylococcus Aureus From Methicillin-Sensitive Staphylococcus Aureus and Molecular Characterization in Quanzhou, China.

Authors:  Zhimin Bai; Min Chen; Qiaofa Lin; Ying Ye; Hongmei Fan; Kaizhen Wen; Jianxing Zeng; Donghong Huang; Wenfei Mo; Ying Lei; Zhijun Liao
Journal:  Front Cell Dev Biol       Date:  2021-01-21

Review 3.  Application of Big Data and Artificial Intelligence in COVID-19 Prevention, Diagnosis, Treatment and Management Decisions in China.

Authors:  Jiancheng Dong; Huiqun Wu; Dong Zhou; Kaixiang Li; Yuanpeng Zhang; Hanzhen Ji; Zhuang Tong; Shuai Lou; Zhangsuo Liu
Journal:  J Med Syst       Date:  2021-07-24       Impact factor: 4.460

  3 in total

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