학술논문

The use of artificial intelligence for delivery of essential health services across WHO regions: a scoping review
Document Type
article
Source
Frontiers in Public Health, Vol 11 (2023)
Subject
artificial intelligence
deep learning
machine learning
non-communicable diseases
communicable diseases artificial intelligence
communicable diseases
Public aspects of medicine
RA1-1270
Language
English
ISSN
2296-2565
Abstract
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.