The use of artificial intelligence for delivery of essential health services across WHO regions: a scoping review

被引:13
作者
Okeibunor, Joseph Chukwudi [1 ]
Jaca, Anelisa [2 ]
Iwu-Jaja, Chinwe Juliana [2 ]
Idemili-Aronu, Ngozi [3 ]
Ba, Housseynou [1 ]
Zantsi, Zukiswa Pamela [2 ]
Ndlambe, Asiphe Mavis [2 ]
Mavundza, Edison [1 ]
Muneene, Derrick [4 ]
Wiysonge, Charles Shey [2 ,5 ]
Makubalo, Lindiwe [1 ]
机构
[1] WHO, Reg Off Africa, Brazzaville, Rep Congo
[2] South African Med Res Council, Cochrane South Africa, Cape Town, South Africa
[3] Univ Nigeria, Dept Sociol Anthropol, Nsukka, Nigeria
[4] WHO, Geneva, Switzerland
[5] South African Med Res Council, HIV & Other Infect Dis Res Unit, Durban, South Africa
关键词
artificial intelligence; deep learning; machine learning; non-communicable diseases; communicable diseases artificial intelligence; communicable diseases; PREDICTION; ADHERENCE; SEPSIS; HIV;
D O I
10.3389/fpubh.2023.1102185
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
BackgroundArtificial intelligence (AI) is a broad outlet of computer science aimed at constructing machines capable of simulating and performing tasks usually done by human beings. The aim of this scoping review is to map existing evidence on the use of AI in the delivery of medical care. MethodsWe searched PubMed and Scopus in March 2022, screened identified records for eligibility, assessed full texts of potentially eligible publications, and extracted data from included studies in duplicate, resolving differences through discussion, arbitration, and consensus. We then conducted a narrative synthesis of extracted data. ResultsSeveral AI methods have been used to detect, diagnose, classify, manage, treat, and monitor the prognosis of various health issues. These AI models have been used in various health conditions, including communicable diseases, non-communicable diseases, and mental health. ConclusionsPresently available evidence shows that AI models, predominantly deep learning, and machine learning, can significantly advance medical care delivery regarding the detection, diagnosis, management, and monitoring the prognosis of different illnesses.
引用
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页数:9
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