Literature DB >> 31650485

Artificial Intelligence Meets Chinese Medicine.

Yan Guo1, Xue Ren2, Yu-Xin Chen3, Teng-Jiao Wang3.   

Abstract

As an interdisciplinary subject of medicine and artificial intelligence, intelligent diagnosis and treatment has received extensive attention. The standardization of Chinese medicine (CM) diagnosis has been always a bottleneck in the modernization and globalization of CM. Studying the application technology of artificial intelligence in CM and solving the problems is an urgent need for the development of modern CM in the era of artificial intelligence. Taking the pneumonia with dyspnea and cough in CM as an example, this article gives an overview of intelligent medical technology and application development, brings forward the present technical problems faced and the new advances in intelligent technology on CM diagnosis and treatment.

Entities:  

Keywords:  Chinese medicine; artificial intelligence; diagnosis and treatment

Mesh：

Year:  2019        PMID： 31650485     DOI： 10.1007/s11655-019-3169-5

Source DB:  PubMed          Journal:  Chin J Integr Med        ISSN： 1672-0415            Impact factor:   1.978


  9 in total

1.  Artificial neural networks combined with experimental design: a "soft" approach for chemical kinetics.

Authors:  Filippo Amato; José Luis González-Hernández; Josef Havel
Journal:  Talanta       Date:  2012-01-28       Impact factor: 6.057

2.  The discovery of artemisinin (qinghaosu) and gifts from Chinese medicine.

Authors:  Youyou Tu
Journal:  Nat Med       Date:  2011-10-11       Impact factor: 53.440

3.  A fuzzy logical model of computer-assisted medical diagnosis.

Authors:  K P Adlassnig
Journal:  Methods Inf Med       Date:  1980-07       Impact factor: 2.176

Review 4.  Machine Learning in Medicine.

Authors:  Rahul C Deo
Journal:  Circulation       Date:  2015-11-17       Impact factor: 29.690

5.  Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network.

Authors:  Awni Y Hannun; Pranav Rajpurkar; Masoumeh Haghpanahi; Geoffrey H Tison; Codie Bourn; Mintu P Turakhia; Andrew Y Ng
Journal:  Nat Med       Date:  2019-01-07       Impact factor: 53.440

6.  Identifying facial phenotypes of genetic disorders using deep learning.

Authors:  Yaron Gurovich; Yair Hanani; Omri Bar; Guy Nadav; Nicole Fleischer; Dekel Gelbman; Lina Basel-Salmon; Peter M Krawitz; Susanne B Kamphausen; Martin Zenker; Lynne M Bird; Karen W Gripp
Journal:  Nat Med       Date:  2019-01-07       Impact factor: 53.440

Review 7.  High-performance medicine: the convergence of human and artificial intelligence.

Authors:  Eric J Topol
Journal:  Nat Med       Date:  2019-01-07       Impact factor: 53.440

Review 8.  A guide to deep learning in healthcare.

Authors:  Andre Esteva; Alexandre Robicquet; Bharath Ramsundar; Volodymyr Kuleshov; Mark DePristo; Katherine Chou; Claire Cui; Greg Corrado; Sebastian Thrun; Jeff Dean
Journal:  Nat Med       Date:  2019-01-07       Impact factor: 53.440

9.  Screening for cardiac contractile dysfunction using an artificial intelligence-enabled electrocardiogram.

Authors:  Zachi I Attia; Suraj Kapa; Francisco Lopez-Jimenez; Paul M McKie; Dorothy J Ladewig; Gaurav Satam; Patricia A Pellikka; Maurice Enriquez-Sarano; Peter A Noseworthy; Thomas M Munger; Samuel J Asirvatham; Christopher G Scott; Rickey E Carter; Paul A Friedman
Journal:  Nat Med       Date:  2019-01-07       Impact factor: 53.440
  9 in total
  1 in total

1.  Computational Medicine: Past, Present and Future.

Authors:  Lan-Qing Lyu; Hong-Yan Cui; Ming-Yi Shao; Yu Fu; Rui-Xia Zhao; Qiu-Ping Chen
Journal:  Chin J Integr Med       Date:  2021-09-21       Impact factor: 2.626
  1 in total

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