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Application of artificial intelligence and machine learning for HIV prevention interventions
The Lancet HIV ( IF 16.1 ) Pub Date : 2021-11-08 , DOI: 10.1016/s2352-3018(21)00247-2
Yang Xiang 1 , Jingcheng Du 1 , Kayo Fujimoto 2 , Fang Li 1 , John Schneider 3 , Cui Tao 1
Affiliation  

In 2019, the US Government announced its goal to end the HIV epidemic within 10 years, mirroring the initiatives set forth by UNAIDS. Public health prevention interventions are a crucial part of this ambitious goal. However, numerous challenges to this goal exist, including improving HIV awareness, increasing early HIV infection detection, ensuring rapid treatment, optimising resource distribution, and providing efficient prevention services for vulnerable populations. Artificial intelligence has had a pivotal role in revolutionising health care and has shown great potential in developing effective HIV prevention intervention strategies. Although artificial intelligence has been used in a few HIV prevention intervention areas, there are challenges to address and opportunities to explore.



中文翻译:

人工智能和机器学习在艾滋病预防干预中的应用

2019 年,美国政府宣布了在 10 年内终结艾滋病毒流行的目标,反映了联合国艾滋病规划署提出的倡议。公共卫生预防干预措施是这一宏伟目标的重要组成部分。然而,实现这一目标存在许多挑战,包括提高 HIV 意识、增加 HIV 感染的早期检测、确保快速治疗、优化资源分配以及为弱势人群提供有效的预防服务。人工智能在医疗保健革命中发挥了关键作用,并在制定有效的 HIV 预防干预策略方面显示出巨大潜力。尽管人工智能已用于一些 HIV 预防干预领域,但仍有挑战需要解决,也有机会需要探索。

更新日期:2021-12-30
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