生成式人工智能在慢性病病人饮食管理中应用的范围综述

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AbstractObjective：Toconductasopingreviewtheappicationgenerativeartificialintellgenceinthedetarymanagement patientswithchronicdiseases.Methods：Systematicsearch wasconducted inandEnglishdatabasessuchasPubed，Web Science（WOS），EMbase，CochraneLibraryAHL，copus，IEEEXplore，AssociationforComputingMachineryigitalibary （ACM），iomedicalLiteratureServiceSytem（SoMed），ChinaNationalKnowledge Infrastructure（CNKI），Waagata Knowledge ServicePlatform，andVIPDatabase.ThesearchperiodwasfromJanuary1，2O14toAugust2O，2025.Tworesearchers independentlyscrenedtheliteratureacordingtotheinclusionandexclusioncriteriaandextractedthebasiccharacteristics the literature.Results：Atotal22articles wereicluded.Thestudies involveda widerangepopulations，withamajoritybeingpatients withdiabetes.Teaplicationcoenerativeartiialintellgenceinpatintdetanagementiudedfoodiagerecogiiet assessment，etaryecommedatiosietiteretionplanfulationddetonsultatioeplicationhologiesided recommendationalgoriths，datamining，timeseriesmodeling，neuraletworks，nowledgegaphs，atientprilingdpeaing， chatbots.ConcusiosTeaptioeneaieartalintellgeneindetarymaagntpatitsitoiciseaad achievedgodresultsandignificantadvantagesHoweveritsplicationastillinitsifancyInhefutureargealecliical randomizdcotrolldtrialseedtoeductedndmmuicationdoperationamongmultipledisciplissouldbted. Keywordsgenerativeartificial inteligence;chronic diseases;dietary management; clinicaltrials;scoping review

《中国居民营养与慢性病状况报告（2020年）》显示，我国高血压、糖尿病等慢性病的患病率逐年上升。（剩余13679字）