人工智能在HIV感染风险预测中的应用进展  

Application of artificial intelligence for HIV infection risk prediction

作　　者：王嘉孺 杨永[1] 张瑛 刘振威[3] 龙秀红[3] 樊杭 杨士博 韦嘉雯 孟媛 黄蓉[1] 杨连招[1] WANG Jiaru;YANG Yong;ZHANG Ying;LIU Zhenwei;LONG Xiuhong;FAN Hang;YANG Shibo;WEI Jiawen;MENG Yuan;HUANG Rong;YANG Lianzhao(Guangxi University of Chinese Medicine,Nanning 530200,Guangxi,China;Faculty of Chinese Medicine Science Guangxi University of Chinese Medicine,Nanning 530222,Guangxi,China;Ruikang Hospital Affiliated to Guangxi University of Chinese Medicine,Nanning 530011,Guangxi,China)

机构地区：[1]广西中医药大学,南宁530200 [2]广西中医药大学赛恩斯新医药学院,南宁530222 [3]广西中医药大学附属瑞康医院,南宁530011

出　　处：《中国艾滋病性病》2024年第5期526-530,共5页Chinese Journal of Aids & STD

基　　金：中央引导地方科技发展资金项目(桂科ZY21195041);广西中医药艾滋病免疫重建重点研究室资助;2022年度广西高校中青年教师科研基础能力提升项目桂教科研[2022]2号(2022KY1670);广西中医药大学赛恩斯新医药学院2022年校级科研项目桂中医大赛科研[2022]9号(2022MS012);2022年广西中医药大学大学生科研训练课题(2022DXS20)。

摘　　要：HIV感染风险预测对于预防和控制HIV的传播至关重要。近年来随着人工智能(AI)和生物医学的结合,越来越多的研究运用AI进行数据测算从而达到对疾病预测评估的目的,开启了精准医学的新时代。当前的研究结果显示AI对HIV感染风险有较好的预测能力。运用AI对HIV易感人群进行感染风险预测,旨在提前采取预防措施和干预行为,以减少HIV感染的可能性。本文综述和分析了AI在HIV感染风险预测中的应用进展,并探讨其优势和面临的挑战。Predicting the risk of HIV infection is critical to the prevention and control of HIV transmission.In recent years,the fusion of artificial intelligence(AI)with biomedical science has ushered in a new epoch of precision medicine,with an increasing body of research employing AI for data analysis to achieve predictive assessments of disease.Current researches suggest that AI has a commendable predictive ability for HIV infection risk.The utilization of AI in forecasting the risk of HIV infection in susceptible populations aims to preemptively implement preventive measures and interventions to reduce the likelihood of HIV transmission.This article provides a comprehensive review and analysis of the progress in the application of AI for predicting the risk of HIV infection,and discusses its advantages as well as the challenges it faces.

关 键 词：艾滋病 艾滋病病毒 人工智能 机器学习 深度学习 

分 类 号：R373.9[医药卫生—病原生物学]