{"id":"https://openalex.org/W3128495175","doi":"https://doi.org/10.1109/isbi48211.2021.9434006","title":"Automatic Detection of B-lines in Lung Ultrasound Videos from Severe Dengue Patients","display_name":"Automatic Detection of B-lines in Lung Ultrasound Videos from Severe Dengue Patients","publication_year":2021,"publication_date":"2021-04-13","ids":{"openalex":"https://openalex.org/W3128495175","doi":"https://doi.org/10.1109/isbi48211.2021.9434006","mag":"3128495175"},"language":"en","primary_location":{"id":"doi:10.1109/isbi48211.2021.9434006","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi48211.2021.9434006","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2102.01059","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036757341","display_name":"Hamideh Kerdegari","orcid":null},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Hamideh Kerdegari","raw_affiliation_strings":["School of Biomedical Engineering & Imaging Sciences, King\u2019s College, London, UK"],"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering & Imaging Sciences, King\u2019s College, London, UK","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071608103","display_name":"Phung Tran Huy Nhat","orcid":"https://orcid.org/0000-0003-2508-0900"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]},{"id":"https://openalex.org/I4210150114","display_name":"Oxford University Clinical Research Unit","ror":"https://ror.org/05rehad94","country_code":"VN","type":"facility","lineage":["https://openalex.org/I40120149","https://openalex.org/I4210150114","https://openalex.org/I87048295"]}],"countries":["GB","VN"],"is_corresponding":false,"raw_author_name":"Phung Tran Huy Nhat","raw_affiliation_strings":["Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam","School of Biomedical Engineering & Imaging Sciences, King\u2019s College, London, UK"],"affiliations":[{"raw_affiliation_string":"Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I4210150114"]},{"raw_affiliation_string":"School of Biomedical Engineering & Imaging Sciences, King\u2019s College, London, UK","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065873088","display_name":"Angela Barron McBride","orcid":"https://orcid.org/0000-0002-5302-9267"},"institutions":[{"id":"https://openalex.org/I4210150114","display_name":"Oxford University Clinical Research Unit","ror":"https://ror.org/05rehad94","country_code":"VN","type":"facility","lineage":["https://openalex.org/I40120149","https://openalex.org/I4210150114","https://openalex.org/I87048295"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Angela McBride","raw_affiliation_strings":["Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam"],"affiliations":[{"raw_affiliation_string":"Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I4210150114"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002124380","display_name":"Reza Razavi","orcid":"https://orcid.org/0000-0003-1065-3008"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Reza Razavi","raw_affiliation_strings":["School of Biomedical Engineering & Imaging Sciences, King\u2019s College, London, UK"],"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering & Imaging Sciences, King\u2019s College, London, UK","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113875993","display_name":"Nguy\u1ec5n V\u0103n H\u1ea3o","orcid":null},"institutions":[{"id":"https://openalex.org/I4210155479","display_name":"Hospital for Tropical Diseases","ror":"https://ror.org/040tqsb23","country_code":"VN","type":"healthcare","lineage":["https://openalex.org/I4210155479"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Nguyen Van Hao","raw_affiliation_strings":["Hospital for Tropical Diseases, Ho Chi Minh City, Vietnam"],"affiliations":[{"raw_affiliation_string":"Hospital for Tropical Diseases, Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I4210155479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052155328","display_name":"Louise Thwaites","orcid":"https://orcid.org/0000-0002-4666-9813"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Louise Thwaites","raw_affiliation_strings":["Centre for Tropical Medicine and Global Health, University of Oxford, UK","School of Biomedical Engineering & Imaging Sciences, King\u2019s College, London, UK"],"affiliations":[{"raw_affiliation_string":"Centre for Tropical Medicine and Global Health, University of Oxford, UK","institution_ids":[]},{"raw_affiliation_string":"School of Biomedical Engineering & Imaging Sciences, King\u2019s College, London, UK","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050849168","display_name":"Sophie Yacoub","orcid":"https://orcid.org/0000-0002-2910-7819"},"institutions":[{"id":"https://openalex.org/I4210150114","display_name":"Oxford University Clinical Research Unit","ror":"https://ror.org/05rehad94","country_code":"VN","type":"facility","lineage":["https://openalex.org/I40120149","https://openalex.org/I4210150114","https://openalex.org/I87048295"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Sophie Yacoub","raw_affiliation_strings":["Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam"],"affiliations":[{"raw_affiliation_string":"Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I4210150114"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030694361","display_name":"Alberto G\u00f3mez","orcid":"https://orcid.org/0000-0002-7897-7589"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Alberto Gomez","raw_affiliation_strings":["School of Biomedical Engineering & Imaging Sciences, King\u2019s College, London, UK"],"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering & Imaging Sciences, King\u2019s College, London, UK","institution_ids":["https://openalex.org/I183935753"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5036757341"],"corresponding_institution_ids":["https://openalex.org/I183935753"],"apc_list":null,"apc_paid":null,"fwci":0.2939,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.53976978,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"989","last_page":"993"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11738","display_name":"Ultrasound in Clinical Applications","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2706","display_name":"Critical Care and Intensive Care Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11738","display_name":"Ultrasound in Clinical Applications","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2706","display_name":"Critical Care and Intensive Care Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.9843999743461609,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9815999865531921,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7141724824905396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.673973560333252},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6529226899147034},{"id":"https://openalex.org/keywords/clips","display_name":"CLIPS","score":0.6285866498947144},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.5172096490859985},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4549824595451355},{"id":"https://openalex.org/keywords/lung","display_name":"Lung","score":0.44764092564582825},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4473240077495575},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.4455246031284332},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.21460992097854614},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1913720667362213},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.10091438889503479},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06584665179252625}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7141724824905396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.673973560333252},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6529226899147034},{"id":"https://openalex.org/C2778739407","wikidata":"https://www.wikidata.org/wiki/Q165372","display_name":"CLIPS","level":2,"score":0.6285866498947144},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.5172096490859985},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4549824595451355},{"id":"https://openalex.org/C2777714996","wikidata":"https://www.wikidata.org/wiki/Q7886","display_name":"Lung","level":2,"score":0.44764092564582825},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4473240077495575},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.4455246031284332},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.21460992097854614},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1913720667362213},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.10091438889503479},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06584665179252625},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/isbi48211.2021.9434006","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi48211.2021.9434006","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2102.01059","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2102.01059","pdf_url":"https://arxiv.org/pdf/2102.01059","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3128495175","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2102.01059","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:kclpure.kcl.ac.uk:publications/f4ac688b-828f-4fac-ae92-bff223dd4c56","is_oa":false,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=85107199973&partnerID=8YFLogxK","pdf_url":null,"source":{"id":"https://openalex.org/S4306400216","display_name":"Research Portal (King's College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I183935753","host_organization_name":"King's College London","host_organization_lineage":["https://openalex.org/I183935753"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Kerdegari , H , Nhat , P T H , McBride , A , Razavi , R , Hao , N V , Thwaites , L , Yacoub , S & Gomez , A 2021 , Automatic detection of B-lines in lung ultrasound videos from severe dengue patients . in 2021 IEEE 18th International Symposium on Biomedical Imaging, ISBI 2021 . , 9434006 , Proceedings - International Symposium on Biomedical Imaging , vol. 2021-April , pp. 989-993 , 18th IEEE International Symposium on Biomedical Imaging, ISBI 2021 , Nice , France , 13/04/2021 . https://doi.org/10.1109/ISBI48211.2021.9434006","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:ora.ox.ac.uk:uuid:d4fa62c5-4163-498a-b434-936e739aee50","is_oa":false,"landing_page_url":"https://ora.ox.ac.uk/objects/uuid:d4fa62c5-4163-498a-b434-936e739aee50","pdf_url":null,"source":{"id":"https://openalex.org/S4306402636","display_name":"Oxford University Research Archive (ORA) (University of Oxford)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I40120149","host_organization_name":"University of Oxford","host_organization_lineage":["https://openalex.org/I40120149"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symplectic Elements","raw_type":"Conference item"},{"id":"doi:10.48550/arxiv.2102.01059","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2102.01059","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2102.01059","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2102.01059","pdf_url":"https://arxiv.org/pdf/2102.01059","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.8199999928474426}],"awards":[],"funders":[{"id":"https://openalex.org/F4320308611","display_name":"Health Research","ror":"https://ror.org/059qgvg50"},{"id":"https://openalex.org/F4320311904","display_name":"Wellcome Trust","ror":"https://ror.org/029chgv08"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W3128495175.pdf"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1947481528","https://openalex.org/W2089368472","https://openalex.org/W2116435618","https://openalex.org/W2150835094","https://openalex.org/W2151214862","https://openalex.org/W2156342794","https://openalex.org/W2194775991","https://openalex.org/W2206411056","https://openalex.org/W2295107390","https://openalex.org/W2386169187","https://openalex.org/W2510642588","https://openalex.org/W2891569179","https://openalex.org/W2912714770","https://openalex.org/W2964308564","https://openalex.org/W2969120414","https://openalex.org/W2969265612","https://openalex.org/W2981630388","https://openalex.org/W3012803970","https://openalex.org/W3015388942","https://openalex.org/W3025576489","https://openalex.org/W3025818114","https://openalex.org/W3027914507","https://openalex.org/W6677326919","https://openalex.org/W6679434410","https://openalex.org/W6776016231","https://openalex.org/W6776882536","https://openalex.org/W6777983517"],"related_works":["https://openalex.org/W3164900130","https://openalex.org/W3169742741","https://openalex.org/W3165483636","https://openalex.org/W3203483667","https://openalex.org/W3201410070","https://openalex.org/W3167608722","https://openalex.org/W2980152791","https://openalex.org/W3016755998","https://openalex.org/W2766803371","https://openalex.org/W3018411764","https://openalex.org/W3037439917","https://openalex.org/W2913456898","https://openalex.org/W3033562213","https://openalex.org/W3127815853","https://openalex.org/W3010471695","https://openalex.org/W3027205504","https://openalex.org/W2735438430","https://openalex.org/W3045307953","https://openalex.org/W2537682840","https://openalex.org/W2890111885"],"abstract_inverted_index":{"Lung":[0],"ultrasound":[1],"(LUS)":[2],"imaging":[3],"is":[4,35],"used":[5],"to":[6,17,45],"assess":[7],"lung":[8],"abnormalities,":[9],"including":[10],"the":[11,21],"presence":[12],"of":[13,27,32,113,125],"B-line":[14],"artefacts":[15,34],"due":[16],"fluid":[18],"leakage":[19],"into":[20],"lungs":[22],"caused":[23],"by":[24],"a":[25,42,67,73,80,117],"variety":[26],"diseases.":[28],"However,":[29],"manual":[30],"detection":[31],"these":[33],"challenging.":[36],"In":[37],"this":[38,63],"paper,":[39],"we":[40,65],"propose":[41],"novel":[43],"methodology":[44],"automatically":[46],"detect":[47],"and":[48,79,115],"localize":[49],"B-lines":[50,106,121],"in":[51],"LUS":[52],"videos":[53],"using":[54,89],"deep":[55],"neural":[56,69],"networks":[57],"trained":[58],"with":[59,72,109,120,122],"weak":[60],"labels.":[61],"To":[62],"end,":[64],"combine":[66],"convolutional":[68],"network":[70,78],"(CNN)":[71],"long":[74],"short-term":[75],"memory":[76],"(LSTM)":[77],"temporal":[81],"attention":[82],"mechanism.":[83],"Four":[84],"different":[85],"models":[86],"are":[87],"compared":[88],"data":[90],"from":[91],"60":[92],"patients.":[93],"Results":[94],"show":[95],"that":[96],"our":[97],"best":[98],"model":[99],"can":[100],"determine":[101],"whether":[102],"one-second":[103],"clips":[104],"contain":[105],"or":[107],"not":[108],"an":[110,123],"F1":[111],"score":[112],"0.81,":[114],"extracts":[116],"representative":[118],"frame":[119],"accuracy":[124],"87.5%.":[126]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}