The use of artificial intelligence for delivery of essential health services across WHO regions: a scoping review
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 s...
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Frontiers Media S.A.,
2023-07-01T00:00:00Z.
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| 100 | 1 | 0 | |a Joseph Chukwudi Okeibunor |e author |
| 700 | 1 | 0 | |a Anelisa Jaca |e author |
| 700 | 1 | 0 | |a Chinwe Juliana Iwu-Jaja |e author |
| 700 | 1 | 0 | |a Ngozi Idemili-Aronu |e author |
| 700 | 1 | 0 | |a Housseynou Ba |e author |
| 700 | 1 | 0 | |a Zukiswa Pamela Zantsi |e author |
| 700 | 1 | 0 | |a Asiphe Mavis Ndlambe |e author |
| 700 | 1 | 0 | |a Edison Mavundza |e author |
| 700 | 1 | 0 | |a Derrick Muneene |e author |
| 700 | 1 | 0 | |a Charles Shey Wiysonge |e author |
| 700 | 1 | 0 | |a Charles Shey Wiysonge |e author |
| 700 | 1 | 0 | |a Lindiwe Makubalo |e author |
| 245 | 0 | 0 | |a The use of artificial intelligence for delivery of essential health services across WHO regions: a scoping review |
| 260 | |b Frontiers Media S.A., |c 2023-07-01T00:00:00Z. | ||
| 500 | |a 2296-2565 | ||
| 500 | |a 10.3389/fpubh.2023.1102185 | ||
| 520 | |a 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. | ||
| 546 | |a EN | ||
| 690 | |a artificial intelligence | ||
| 690 | |a deep learning | ||
| 690 | |a machine learning | ||
| 690 | |a non-communicable diseases | ||
| 690 | |a communicable diseases artificial intelligence | ||
| 690 | |a communicable diseases | ||
| 690 | |a Public aspects of medicine | ||
| 690 | |a RA1-1270 | ||
| 655 | 7 | |a article |2 local | |
| 786 | 0 | |n Frontiers in Public Health, Vol 11 (2023) | |
| 787 | 0 | |n https://www.frontiersin.org/articles/10.3389/fpubh.2023.1102185/full | |
| 787 | 0 | |n https://doaj.org/toc/2296-2565 | |
| 856 | 4 | 1 | |u https://doaj.org/article/827c9ace513948f6bcc771adaa5e15c4 |z Connect to this object online. |