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人工智能在 WHO 各区域提供基本卫生服务中的应用:范围综述。

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

机构信息

World Health Organization Regional Office for Africa, Brazzaville, Republic of Congo.

Cochrane South Africa, South African Medical Research Council, Cape Town, South Africa.

出版信息

Front Public Health. 2023 Jul 4;11:1102185. doi: 10.3389/fpubh.2023.1102185. eCollection 2023.

DOI:10.3389/fpubh.2023.1102185
PMID:37469694
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10352788/
Abstract

BACKGROUND

Artificial 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.

METHODS

We 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.

RESULTS

Several 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.

CONCLUSIONS

Presently 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.

摘要

背景

人工智能(AI)是计算机科学的一个广泛分支,旨在构建能够模拟和执行通常由人类完成的任务的机器。本次范围综述的目的是绘制现有关于在医疗保健中使用 AI 的证据。

方法

我们于 2022 年 3 月在 PubMed 和 Scopus 上进行了搜索,筛选出符合条件的记录,评估了潜在合格出版物的全文,并从纳入的研究中重复提取数据,通过讨论、仲裁和协商解决差异。然后,我们对提取的数据进行了叙述性综合。

结果

已经使用了几种 AI 方法来检测、诊断、分类、管理、治疗和监测各种健康问题的预后。这些 AI 模型已在各种健康状况中得到应用,包括传染病、非传染性疾病和心理健康。

结论

目前的证据表明,AI 模型,主要是深度学习和机器学习,可以在不同疾病的检测、诊断、管理和监测预后方面显著促进医疗保健的提供。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d73/10352788/eff18387473d/fpubh-11-1102185-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d73/10352788/eff18387473d/fpubh-11-1102185-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d73/10352788/eff18387473d/fpubh-11-1102185-g0001.jpg

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