基于CiteSpace的超声医学领域人工智能研究热点和趋势的可视化分析

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ABSTRACTObjectiveTo systematically analyze the research hotspots trends AIin ultrasound medicine over the pastdecadebyCiteSpacevisualizationstware.MethodsLiteraturerelatedtoAI inultrasoundmedicinepublished between2014O24wasretrievedfromtheCNKI，Wanfang，PubMed，Webdatabases.CiteSpacevisualization stware wasusedtovisualizequantitativelyanalyze the graphspublicationvolume，authors，nstitutions，countries，nd keywords.ResultsAtotal308l articles were included，comprising 1418Chinese1663non-Chinese publications.Over the pastdecade，the numberpublications regardingAIinultrasound medicineshowedanoverallicreasing trend，withrapid growth after 2018，indicatingaphase acelerateddevelopment maturation.Thecolaborationnetwork densitiesamong authorswereO.OO6forChineseliteratureO.Oo3fornon-Chineseliterature，whiletheinstitutionalcolaborationnetwork densities wereOO29O.79，respectively，eflectinginsuffientcollborationamongauthorsinstitutions.Aalis institutionsrevealedaconcentrationinhighereducation institutions.ThetopfivecountriesbypublicationvolumnwereChina （694articles），the USA（396articles），South Korea（75articles），Canada（74articles）， India（53articles）.Although internationalcollaborationamongtheissuingcountriesexisted，thecollaborationnetwork densitywasO.O141，indicatinga relativelylowdegreecooperation.KeywordanalysisindicatedthatsimilaritiesinpopulartopicsbetwenChinese non-Chiese literature，focusingondeeplearning，imagesegmentation，breastcancer，convolutionalneuralnetworkmage clasification， thyroidnodules.ConclusionSignificant progresshas been madeinAIresearch inultrasound medicineover the pastdecade.Research hotspotsprimarilyincludedeeplearning，imagesegmentationintellgent-assistedidentification diagnosis.Future trends are expected to focus on AI models based on contrast-enhanced ultrasonography.

KEYWORDS medicine;AI;Research hotspots;Research trends; CiteSpace

随着科学技术的飞速发展，人工智能出现在大众视野并在多学科领域得到了广泛应用和探索，取得了优异成果。（剩余11120字）