{"id":"https://openalex.org/W7208072635","doi":null,"title":"\u5927\u8178\u75c5\u5909\u306b\u5bfe\u3059\u308bJNET\u5206\u985e\u306e\u6559\u80b2\u52b9\u679c\u3068NICE/JNET\u5206\u985e\u306eAI\u8b58\u5225\u5668\u306e\u958b\u767a 1\uff09\u5927\u8178\u75c5\u5909\u306b\u5bfe\u3059\u308bJNET\u5206\u985e\u306e\u8a3a\u65ad\u80fd\u306b\u304a\u3051\u308b\u6559\u80b2\u52b9\u679c\u306e\u691c\u8a0e 2\uff09\u5927\u8178\u75c5\u5909\u306b\u5bfe\u3059\u308bNICE/JNET \u5206\u985e\u3092\u7528\u3044\u305f\u30de\u30eb\u30c1\u30af\u30e9\u30b9\u306e\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30fc\u8a3a\u65ad\u652f\u63f4\u30b7\u30b9\u30c6\u30e0\u306e\u958b\u767a","display_name":"\u5927\u8178\u75c5\u5909\u306b\u5bfe\u3059\u308bJNET\u5206\u985e\u306e\u6559\u80b2\u52b9\u679c\u3068NICE/JNET\u5206\u985e\u306eAI\u8b58\u5225\u5668\u306e\u958b\u767a 1\uff09\u5927\u8178\u75c5\u5909\u306b\u5bfe\u3059\u308bJNET\u5206\u985e\u306e\u8a3a\u65ad\u80fd\u306b\u304a\u3051\u308b\u6559\u80b2\u52b9\u679c\u306e\u691c\u8a0e 2\uff09\u5927\u8178\u75c5\u5909\u306b\u5bfe\u3059\u308bNICE/JNET \u5206\u985e\u3092\u7528\u3044\u305f\u30de\u30eb\u30c1\u30af\u30e9\u30b9\u306e\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30fc\u8a3a\u65ad\u652f\u63f4\u30b7\u30b9\u30c6\u30e0\u306e\u958b\u767a","publication_year":2022,"publication_date":"2022-03-23","ids":{"openalex":"https://openalex.org/W7208072635"},"language":"en","primary_location":{"id":"pmh:oai:irdb.nii.ac.jp:01372:0006656472","doi":null,"is_oa":true,"landing_page_url":"https://hiroshima.repo.nii.ac.jp/records/2002616","pdf_url":"https://hiroshima.repo.nii.ac.jp/record/2002616/files/k8857_3_1.pdf","source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"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":"doctoral thesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hiroshima.repo.nii.ac.jp/record/2002616/files/k8857_3_1.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113959532","display_name":"Yuki Okamoto","orcid":"https://orcid.org/0009-0008-8135-5116","observed_orcids":["https://orcid.org/0009-0008-8135-5116"]},"institutions":[{"id":"https://openalex.org/I4210125056","display_name":"Hiroshima University Hospital","ror":"https://ror.org/038dg9e86","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210125056"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"\u5ca1\u672c, \u7531\u8cb4","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5160898274","display_name":"Yuki Okamoto","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Okamoto, Yuki","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9535999894142151,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9535999894142151,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T10862","display_name":"AI in cancer detection","score":0.0284000001847744,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10916","display_name":"Surgical Simulation and Training","score":0.0017999999690800905,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/colorectal-lesions","display_name":"colorectal lesions","score":0.8859999775886536},{"id":"https://openalex.org/keywords/jnet-classification","display_name":"JNET classification","score":0.9570000171661377},{"id":"https://openalex.org/keywords/narrow-band-imaging","display_name":"narrow-band imaging","score":0.8180000185966492},{"id":"https://openalex.org/keywords/endoscopist-training","display_name":"endoscopist training","score":0.8140000104904175},{"id":"https://openalex.org/keywords/learning-curve","display_name":"learning curve","score":0.7009999752044678},{"id":"https://openalex.org/keywords/diagnostic-accuracy","display_name":"diagnostic accuracy","score":0.8560000061988831},{"id":"https://openalex.org/keywords/interobserver-agreement","display_name":"interobserver agreement","score":0.890999972820282},{"id":"https://openalex.org/keywords/computer-aided-diagnosis","display_name":"computer-aided diagnosis","score":0.8619999885559082},{"id":"https://openalex.org/keywords/colorectal-cancer-detection","display_name":"colorectal cancer detection","score":0.5839999914169312},{"id":"https://openalex.org/keywords/colorectal-polyps","display_name":"colorectal polyps","score":0.453000009059906},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.5540000200271606}],"concepts":[{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.7815999984741211},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.3765999972820282},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.37470000982284546},{"id":"https://openalex.org/C3019719930","wikidata":"https://www.wikidata.org/wiki/Q3910099","display_name":"Predictive value","level":2,"score":0.36329999566078186},{"id":"https://openalex.org/C2778451229","wikidata":"https://www.wikidata.org/wiki/Q212809","display_name":"Endoscopy","level":2,"score":0.361299991607666},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.3573000133037567},{"id":"https://openalex.org/C3020132585","wikidata":"https://www.wikidata.org/wiki/Q2671652","display_name":"Diagnostic accuracy","level":2,"score":0.28060001134872437},{"id":"https://openalex.org/C2983449737","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Clinical diagnosis","level":2,"score":0.27480000257492065},{"id":"https://openalex.org/C3018023364","wikidata":"https://www.wikidata.org/wiki/Q425265","display_name":"Significant difference","level":2,"score":0.27090001106262207},{"id":"https://openalex.org/C168563851","wikidata":"https://www.wikidata.org/wiki/Q1436668","display_name":"Randomized controlled trial","level":2,"score":0.2498999983072281}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:irdb.nii.ac.jp:01372:0006656472","doi":null,"is_oa":true,"landing_page_url":"https://hiroshima.repo.nii.ac.jp/records/2002616","pdf_url":"https://hiroshima.repo.nii.ac.jp/record/2002616/files/k8857_3_1.pdf","source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"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":"doctoral thesis"},{"id":"pmh:oai:hiroshima.repo.nii.ac.jp:02002616","doi":null,"is_oa":true,"landing_page_url":"https://hiroshima.repo.nii.ac.jp/records/2002616","pdf_url":null,"source":{"id":"https://openalex.org/S7407055456","display_name":"Hiroshima University Institutional Repository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"doctoral thesis"}],"best_oa_location":{"id":"pmh:oai:irdb.nii.ac.jp:01372:0006656472","doi":null,"is_oa":true,"landing_page_url":"https://hiroshima.repo.nii.ac.jp/records/2002616","pdf_url":"https://hiroshima.repo.nii.ac.jp/record/2002616/files/k8857_3_1.pdf","source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"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":"doctoral thesis"},"sustainable_development_goals":[{"score":0.6240000128746033,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"},{"score":0.4156000018119812,"id":"https://metadata.un.org/sdg/4","display_name":"Quality education"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7208072635.pdf","grobid_xml":"https://content.openalex.org/works/W7208072635.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7144635363","https://openalex.org/W7208518957","https://openalex.org/W3163174942","https://openalex.org/W4410017974","https://openalex.org/W3043276173","https://openalex.org/W3197720841","https://openalex.org/W2806595033","https://openalex.org/W3174641631","https://openalex.org/W3176225197","https://openalex.org/W3212567893"],"abstract_inverted_index":{"Background:":[0],"An":[1],"educational":[2,40],"and":[3,44,73,107,114,123,136,140,145,171,210,235,242],"training":[4],"program":[5],"is":[6,18],"required":[7],"for":[8,48,85,146],"generalization":[9],"of":[10,26,30,38,53,89],"Japan":[11],"NBI":[12,87,271],"Expert":[13],"Team":[14],"(JNET)":[15],"classification.However,":[16],"there":[17],"no":[19,62],"detailed":[20],"report":[21],"on":[22,42,120],"the":[23,27,36,112,128,132,142,151,154,169,174,225,227,233,240,248,255],"learning":[24],"curve":[25],"diagnostic":[28,51,129,256],"accuracy":[29,52],"endoscopists":[31,47,70,77,266],"using":[32,82,258],"JNET":[33,57,83,121,148,231,259],"classification.We":[34],"examined":[35],"effect":[37],"an":[39,252],"lecture":[41,119,143],"beginners":[43,60,264],"less":[45,68,268],"experienced":[46,69,76],"improving":[49],"their":[50],"colorectal":[54,90],"lesions":[55,91],"by":[56,229],"classification.Methods:":[58],"Seven":[59],"with":[61,162,267],"endoscopy":[63],"experience":[64,269],"(NEE":[65],"group),":[66,72],"7":[67],"(LEE":[71],"3":[74,125],"highly":[75],"(HEE":[78],"group)":[79],"performed":[80],"diagnosis":[81,134,156,176,194],"classification":[84,260],"randomized":[86],"images":[88],"from":[92],"180":[93],"cases":[94],"(Type":[95],"1:":[96],"22":[97],"cases,":[98,102,106],"Type":[99,103,108],"2A:":[100],"105":[101],"2B:":[104],"33":[105],"3:":[109],"20":[110],"cases).Next,":[111],"NEE":[113,170,241],"LEE":[115,172,243],"groups":[116,126,244],"received":[117],"a":[118],"classification,":[122],"all":[124],"repeated":[127],"process.We":[130],"compared":[131],"correct":[133,155,175,193],"rate":[135,157,177,195],"interobserver":[137,164,211],"agreement":[138,212],"before":[139],"after":[141,224,247],"comprehensively":[144],"each":[147,230],"type.":[149],"Results:In":[150],"HEE":[152],"group,":[153],"was":[158,261],"more":[159],"than":[160],"90%":[161],"good":[163],"agreements":[165],"(kappa":[166,213],"value:":[167],"0.78-0.85).In":[168],"groups,":[173],"(NEE:":[178,196],"60.2":[179],"\u2192":[180,187,198,205,217,221],"68.0%,":[181],"P":[182,189,200,207],"<":[183,190,201,208],"0.01;":[184,202],"LEE:":[185,203,219],"66.4":[186],"86.7%,":[188],"0.01),":[191,209],"high-confidence":[192],"19.6":[197],"37.2%,":[199],"43.6":[204],"61.1%,":[206],"value,":[214],"NEE:":[215],"0.32":[216],"0.43;":[218],"0.39":[220],"0.75)":[222],"improved":[223,246,262],"lecture.In":[226],"examination":[228],"type,":[232],"specificity":[234],"positive":[236],"predictive":[237],"value":[238],"in":[239,263,270],"generally":[245],"lecture.":[249],"Conclusion:After":[250],"conducting":[251],"appropriate":[253],"lecture,":[254],"ability":[257],"or":[265],"magnifying":[272],"endoscopy.":[273]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-09-04T00:00:00"}