[{"data":1,"prerenderedAt":101},["ShallowReactive",2],{"ki-evidenznetz-dossier-output-d9842869c8c07a8c09fc08bb-36932573":3},{"edges":4,"entity":16,"fingerprint":56,"generatedAt":57,"neighbors":58,"schemaVersion":100},[5],{"evidence":6,"evidenceClass":11,"from":12,"id":13,"relation":14,"to":15},{"dataset":7,"field":8,"sourceId":9,"url":10},"german-ai-research-to-transfer-index","cordis_project_code","952103:output:d9842869c8c07a8c09fc08bb","https:\u002F\u002Fcordis.europa.eu\u002Fproject\u002Fid\u002F952103","exact","cordis:952103","edge:project-output:952103:d9842869c8c07a8c09fc08bb","has_observed_output","output:d9842869c8c07a8c09fc08bb",{"attributes":17,"edgeCount":40,"id":15,"indexable":19,"label":41,"links":42,"slug":51,"sourceRefs":52,"type":55},{"citationCount":18,"isOpenAccess":19,"openAireId":20,"outputType":21,"persistentIdentifiers":22,"publicationDate":39},4,true,"doi_dedup___::b6b07404ed5c9e2247499fbdb3b9d731","publication",[23,26,29,31,33,36],{"scheme":24,"value":25},"doi","10.1007\u002Fs00330-024-11188-3",{"scheme":27,"value":28},"handle","11370\u002F9acad077-995a-4fde-8ad6-2b86aa07a49e",{"scheme":27,"value":30},"2066\u002F319472",{"scheme":27,"value":32},"https:\u002F\u002Frepository.ubn.ru.nl\u002Fhandle\u002F2066\u002F319472",{"scheme":34,"value":35},"pmc","PMC12081502",{"scheme":37,"value":38},"pmid","39636421","2024-12-05",1,"ESR Essentials: how to get to valuable radiology AI: the role of early health technology assessment—practice recommendations by the European Society of Medical Imaging Informatics",[43,47],{"kind":44,"label":45,"url":46},"official_source","OpenAIRE","https:\u002F\u002Fapi.openaire.eu\u002Fgraph\u002Fv3\u002Fresearch-products\u002Fdoi_dedup___%3A%3Ab6b07404ed5c9e2247499fbdb3b9d731",{"kind":48,"label":49,"url":50},"persistent_identifier","DOI 10.1007\u002Fs00330-024-11188-3","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00330-024-11188-3","output-d9842869c8c07a8c09fc08bb-36932573",[53],{"dataset":7,"field":54,"sourceId":20,"url":46},"openaire_research_product_id","output","sha256:d5a81043d8c21f3016c3b24838fb31eda98cf37e4637e1e9b075865fd9697e89","2026-09-26T08:35:38.651Z",[59],{"attributes":60,"description":84,"edgeCount":85,"id":12,"indexable":19,"label":86,"links":87,"slug":94,"sourceRefs":95,"type":99},{"acronym":61,"code":62,"endDate":63,"frameworkProgramme":64,"funding":65,"knowledgeFlow":70,"research":71,"startDate":83},"EuCanImage","952103","2025-09-30","H2020",{"currency":66,"germanNetEuContributionCents":67,"participantEdgeCount":68,"status":69},"EUR","61420375",3,"linked",null,{"citationDataOutputCount":72,"citedOutputCount":73,"firstPublicationDate":74,"lastPublicationDate":75,"openAccessOutputCount":76,"outputCount":72,"status":69,"totalCitations":77,"typeCounts":78},178,106,"2020-05-07","2026-01-13",169,8123,{"dataset":79,"other":80,"publication":81,"software":82},2,5,159,12,"2020-10-01","A European Cancer Image Platform Linked to Biological and Health Data for Next-Generation Artificial Intelligence and Precision Medicine in Oncology",122,"EuCanImage · A European Cancer Image Platform Linked to Biological and Health Data for Next-Generation Artificial Intelligence and Precision Medicine in Oncology",[88,90],{"kind":44,"label":89,"url":10},"CORDIS",{"kind":91,"label":92,"url":93},"local_dossier","KI-Innovationspfad","\u002Ftools\u002Fki-innovationspfad\u002F?project=952103","project-cordis-952103-e2d5e99e",[96],{"dataset":97,"field":98,"sourceId":12,"url":10},"german-ai-innovation-path","cordis_project_id","project","ki-evidenznetz.entity.v1",1790412349149]