Practical Implementation of Artificial Intelligence-Based Deep Learning and Cloud Computing on the Application of Traditional Medicine and Western Medicine in the Diagnosis and Treatment of Rheumatoid Arthritis

被引:26
作者
Wang, Shaohui [1 ]
Hou, Ya [2 ]
Li, Xuanhao [3 ]
Meng, Xianli [4 ]
Zhang, Yi [1 ]
Wang, Xiaobo [4 ]
机构
[1] Chengdu Univ Tradit Chinese Med, Sch Ethn Med, Chengdu, Peoples R China
[2] Chengdu Univ Tradit Chinese Med, Sch Pharm, Chengdu, Peoples R China
[3] Chengdu Second Peoples Hosp, Chengdu, Peoples R China
[4] Chengdu Univ Tradit Chinese Med, Innovat Inst Chinese Med & Pharm, State Key Lab Southwestern Chinese Med Resources, Chengdu, Peoples R China
基金
国家重点研发计划;
关键词
artificial intelligence; data mining; deep learning; cloud computing; traditional medicine; Tibetan medicine; rheumatoid arthritis; COLLAGEN-INDUCED ARTHRITIS; AUTOMATIC QUANTIFICATION; HERBAL MEDICINE; MR-IMAGES; JOINT; RISK; BONE; METHOTREXATE; SEGMENTATION; MECHANISMS;
D O I
10.3389/fphar.2021.765435
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Rheumatoid arthritis (RA), an autoimmune disease of unknown etiology, is a serious threat to the health of middle-aged and elderly people. Although western medicine, traditional medicine such as traditional Chinese medicine, Tibetan medicine and other ethnic medicine have shown certain advantages in the diagnosis and treatment of RA, there are still some practical shortcomings, such as delayed diagnosis, improper treatment scheme and unclear drug mechanism. At present, the applications of artificial intelligence (AI)-based deep learning and cloud computing has aroused wide attention in the medical and health field, especially in screening potential active ingredients, targets and action pathways of single drugs or prescriptions in traditional medicine and optimizing disease diagnosis and treatment models. Integrated information and analysis of RA patients based on AI and medical big data will unquestionably benefit more RA patients worldwide. In this review, we mainly elaborated the application status and prospect of AI-assisted deep learning and cloud computation-oriented western medicine and traditional medicine on the diagnosis and treatment of RA in different stages. It can be predicted that with the help of AI, more pharmacological mechanisms of effective ethnic drugs against RA will be elucidated and more accurate solutions will be provided for the treatment and diagnosis of RA in the future.
引用
收藏
页数:18
相关论文
共 183 条
[21]   Anti-inflammatory effects of BT-201, an n-butanol extract of Panax notoginseng, observed in vitro and in a collagen-induced arthritis model [J].
Chang, Sun-Hwa ;
Choi, Youngnim ;
Park, Jung-Ae ;
Jung, Dong-Sik ;
Shin, Jieun ;
Yang, Ji-Hyun ;
Ko, Seon-Yle ;
Kim, Se-Won ;
Kim, Jung-Keun .
CLINICAL NUTRITION, 2007, 26 (06) :785-791
[22]   Korean Red Ginseng exhibits no significant adverse effect on disease activity in patients with rheumatoid arthritis: a randomized, double-blind, crossover study [J].
Cho, Soo-Kyung ;
Kim, Dam ;
Yoo, Dasomi ;
Jang, Eun Jin ;
Jun, Jae-Bum ;
Sung, Yoon-Kyoung .
JOURNAL OF GINSENG RESEARCH, 2018, 42 (02) :144-148
[23]   Glycomics meets artificial intelligence - Potential of glycan analysis for identification of seropositive and seronegative rheumatoid arthritis patients revealed [J].
Chocholova, Erika ;
Bertok, Tomas ;
Jane, Eduard ;
Lorencova, Lenka ;
Holazova, Alena ;
Belicka, Ludmila ;
Belicky, Stefan ;
Mislovicova, Danica ;
Vikartovska, Alica ;
Imrich, Richard ;
Kasak, Peter ;
Tkac, Jan .
CLINICA CHIMICA ACTA, 2018, 481 :49-55
[24]   Introduction to Machine Learning, Neural Networks, and Deep Learning [J].
Choi, Rene Y. ;
Coyner, Aaron S. ;
Kalpathy-Cramer, Jayashree ;
Chiang, Michael F. ;
Campbell, J. Peter .
TRANSLATIONAL VISION SCIENCE & TECHNOLOGY, 2020, 9 (02)
[25]   Fibroblasts in Rheumatoid Arthritis [J].
Chu, Cong-Qiu .
NEW ENGLAND JOURNAL OF MEDICINE, 2020, 383 (17) :1679-1681
[26]   Prediction of novel and selective TNF-alpha converting enzyme (TACE) inhibitors and characterization of correlative molecular descriptors by machine learning approaches [J].
Cong, Yong ;
Yang, Xue-gang ;
Lv, Wei ;
Xue, Ying .
JOURNAL OF MOLECULAR GRAPHICS & MODELLING, 2009, 28 (03) :236-244
[27]   Challenges in the treatment of Rheumatoid Arthritis [J].
Conigliaro, Paola ;
Triggianese, Paola ;
De Martino, Erica ;
Fonti, Giulia Lavinia ;
Chimenti, Maria Sole ;
Sunzini, Flavia ;
Viola, Alessandra ;
Canofari, Claudia ;
Perricone, Roberto .
AUTOIMMUNITY REVIEWS, 2019, 18 (07) :706-713
[28]   Porphyromonas gingivalis experimentally induces periodontis and an anti-CCP2-associated arthritis in the rat [J].
Courbon, Guillaume ;
Rinaudo-Gaujous, Melanie ;
Blasco-Baque, Vincent ;
Auger, Isabelle ;
Caire, Robin ;
Mijola, Lambert ;
Vico, Laurence ;
Paul, Stephane ;
Marotte, Hubert .
ANNALS OF THE RHEUMATIC DISEASES, 2019, 78 (05) :594-599
[29]   Understanding the links between privacy and public data sharing [J].
Craig, David W. .
NATURE METHODS, 2016, 13 (03) :211-212
[30]   Distinct fibroblast subsets drive inflammation and damage in arthritis [J].
Croft, Adam P. ;
Campos, Joana ;
Jansen, Kathrin ;
Turner, Jason D. ;
Marshall, Jennifer ;
Attar, Moustafa ;
Savary, Loriane ;
Wehmeyer, Corinna ;
Naylor, Amy J. ;
Kemble, Samuel ;
Begum, Jenefa ;
Durholz, Kerstin ;
Perlman, Harris ;
Barone, Francesca ;
McGettrick, Helen M. ;
Fearon, Douglas T. ;
Wei, Kevin ;
Raychaudhuri, Soumya ;
Korsunsky, Ilya ;
Brenner, Michael B. ;
Coles, Mark ;
Sansom, Stephen N. ;
Filer, Andrew ;
Buckley, Christopher D. .
NATURE, 2019, 570 (7760) :246-+