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
Authors
Shaohui Wang
School of Ethnic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China
Ya Hou
School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
Xuanhao Li
Chengdu Second People’s Hospital, Chengdu, China
Xianli Meng
State Key Laboratory of Southwestern Chinese Medicine Resources, Innovative Institute of Chinese Medicine and Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
Yi Zhang
School of Ethnic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China
Xiaobo Wang
State Key Laboratory of Southwestern Chinese Medicine Resources, Innovative Institute of Chinese Medicine and Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
Keywords:
artificial intelligence, data mining, deep learning, cloud computing, traditional medicine, Tibetan medicine, rheumatoid arthritis
Abstract
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.
Keywords: artificial intelligence, data mining, deep learning, cloud computing, traditional medicine, Tibetan medicine, rheumatoid arthritis
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