Using artificial intelligence to improve medical services in China.

Artificial intelligence (AI) China health care medical resource

Journal

Annals of translational medicine
ISSN: 2305-5839
Titre abrégé: Ann Transl Med
Pays: China
ID NLM: 101617978

Informations de publication

Date de publication:
Jun 2020
Historique:
entrez: 4 7 2020
pubmed: 4 7 2020
medline: 4 7 2020
Statut: ppublish

Résumé

Artificial intelligence (AI) is one hotspot of research in the field of modern medical technology. Medical AI has been applied to various areas and has two main branches including virtual and physical. Recently, Chinese State Council issued a guideline on developing AI and indicated that the widespread application of AI will improve the level of precision in medical services and achieve the intelligent medical care. Medical resources, especially the high-quality resources, are deficient across the entire health service system in China. AI technologies, such that virtual AI and telemedical technology, are expected to overcome the current limitations of the distribution of medical resources and relieve the pressure associated with obtaining high-quality health care.

Identifiants

pubmed: 32617331
doi: 10.21037/atm.2019.11.108
pii: atm-08-11-711
pmc: PMC7327308
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

711

Informations de copyright

2020 Annals of Translational Medicine. All rights reserved.

Déclaration de conflit d'intérêts

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/atm.2019.11.108). The series “Medical Artificial Intelligent Research” was commissioned by the editorial office without any funding or sponsorship. HL served as the unpaid Guest Editor of the series. The other authors have no other conflicts of interest to declare.

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Auteurs

Ruiyang Li (R)

State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.

Yahan Yang (Y)

State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.

Shaolong Wu (S)

School of Public Health, Sun Yat-sen University, Guangzhou, China.

Kai Huang (K)

School of Data and Computer Science, Sun Yet-sen University, Guangzhou, China.

Weirong Chen (W)

State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.

Yizhi Liu (Y)

State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.

Haotian Lin (H)

State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.
Center for Precision Medicine, Sun Yat-sen University, Guangzhou, China.

Classifications MeSH