算法驱动的个性化干预在HIV感染预防及管理中的研究进展OA
Research progress on algorithm-driven personalized intervention in HIV prevention and management
算法驱动的个性化干预能够精准适配个体需求,且具备规模化推广优势,现已成为人类免疫缺陷病毒(HIV)感染防治领域的重要研究方向.本文系统梳理该模式在 HIV感染预防与管理领域的应用进展,围绕计算机定制干预、即时适配干预、人工智能(AI)驱动的个性化干预三大模式,阐述其发展历程、设计架构及典型应用场景,同时探讨当前实践挑战与未来趋势,旨在为我国相关理论研究与本土化应用提供借鉴.
Algorithm-driven personalized intervention,capable of being precisely tailored to individual needs and offering the advantage of scalable implementation,has emerged as an important research direction in the field of human immunodeficiency virus(HIV)prevention and treatment.This paper systematically reviews the application progress of this intervention model in the field of HIV prevention and management,elaborates on the development process,design framework,and typical application scenarios of three major models:computer-tailored intervention,just-in-time adaptive intervention,and artificial intelligence(AI)-driven personalized intervention.Concurrently,it explores existing practical challenges and future trends,aiming to provide references for relevant theoretical research and localized applications in China.
李婷;陈思懿;何嘉欣;郝琴;王珊珊;侯宇洋;苏昕怡
延安大学延安医学院,陕西 延安 716000延安大学延安医学院,陕西 延安 716000延安大学延安医学院,陕西 延安 716000延安大学延安医学院,陕西 延安 716000延安大学经济管理学院,陕西 延安 716000中南大学湘雅护理学院,湖南 长沙 410013中南大学湘雅护理学院,湖南 长沙 410013
医药卫生
人类免疫缺陷病毒个性化干预计算机算法计算机定制干预即时适配干预人工智能HIV预防
human immunodeficiency viruspersonalized interventioncomputer algorithmcomputer-tailored interventionjust-in-time adaptive interventionartificial intelligenceHIV prevention
《中国感染控制杂志》 2026 (5)
777-784,8
国家自然科学基金资助项目(72261032)延安大学2025年大学生创新训练计划项目
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