{"id":"https://openalex.org/W7141764215","doi":"https://doi.org/10.48550/arxiv.2603.24903","title":"Self-Supervised Learning for Knee Osteoarthritis: Diagnostic Limitations and Prognostic Value of Hospital Data","display_name":"Self-Supervised Learning for Knee Osteoarthritis: Diagnostic Limitations and Prognostic Value of Hospital Data","publication_year":2026,"publication_date":"2026-03-26","ids":{"openalex":"https://openalex.org/W7141764215","doi":"https://doi.org/10.48550/arxiv.2603.24903"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.24903","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.24903","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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.24903","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067129067","display_name":"Haresh Rengaraj Rajamohan","orcid":"https://orcid.org/0000-0002-7926-9090"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rajamohan, Haresh Rengaraj","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130813119","display_name":"Yuxuan Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Yuxuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130800372","display_name":"Kyunghyun Cho","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cho, Kyunghyun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5050471723","display_name":"Cem M. Deniz","orcid":"https://orcid.org/0000-0001-8809-5945"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Deniz, Cem M.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"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/T10105","display_name":"Osteoarthritis Treatment and Mechanisms","score":0.6322000026702881,"subfield":{"id":"https://openalex.org/subfields/2745","display_name":"Rheumatology"},"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/T10105","display_name":"Osteoarthritis Treatment and Mechanisms","score":0.6322000026702881,"subfield":{"id":"https://openalex.org/subfields/2745","display_name":"Rheumatology"},"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/T10562","display_name":"Total Knee Arthroplasty Outcomes","score":0.15700000524520874,"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"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.04969999939203262,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/grading","display_name":"Grading (engineering)","score":0.48330000042915344},{"id":"https://openalex.org/keywords/radiography","display_name":"Radiography","score":0.44929999113082886},{"id":"https://openalex.org/keywords/osteoarthritis","display_name":"Osteoarthritis","score":0.4083999991416931},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.36649999022483826},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.3596000075340271},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.3174000084400177}],"concepts":[{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.73580002784729},{"id":"https://openalex.org/C2777286243","wikidata":"https://www.wikidata.org/wiki/Q5591926","display_name":"Grading (engineering)","level":2,"score":0.48330000042915344},{"id":"https://openalex.org/C36454342","wikidata":"https://www.wikidata.org/wiki/Q245341","display_name":"Radiography","level":2,"score":0.44929999113082886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4255000054836273},{"id":"https://openalex.org/C2776164576","wikidata":"https://www.wikidata.org/wiki/Q62736","display_name":"Osteoarthritis","level":3,"score":0.4083999991416931},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.36649999022483826},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36410000920295715},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3596000075340271},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.3569999933242798},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.3174000084400177},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.31709998846054077},{"id":"https://openalex.org/C4441509","wikidata":"https://www.wikidata.org/wiki/Q6418787","display_name":"Multimodal therapy","level":2,"score":0.31369999051094055},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.3133000135421753},{"id":"https://openalex.org/C1862650","wikidata":"https://www.wikidata.org/wiki/Q186005","display_name":"Physical therapy","level":1,"score":0.3050999939441681},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.27160000801086426},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2689000070095062},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.25940001010894775},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.2540999948978424}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.24903","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.24903","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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.24903","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.24903","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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5750890970230103,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"study":[1],"assesses":[2],"whether":[3],"self-supervised":[4],"learning":[5,150],"(SSL)":[6],"improves":[7],"knee":[8,27,44],"osteoarthritis":[9],"(OA)":[10],"modeling":[11,221],"for":[12,133,149,201,219],"diagnosis":[13],"and":[14,33,36,97,173],"prognosis":[15],"relative":[16],"to":[17,83,108,129,210],"ImageNet-pretrained":[18],"initialization.":[19],"We":[20],"compared":[21],"(i)":[22],"image-only":[23,61],"SSL":[24,40,56,62,81],"pretrained":[25,41],"on":[26,42,176],"radiographs":[28,45],"from":[29,110,127],"the":[30,93,98,102,124,205,223,230],"OAI,":[31],"MOST,":[32],"NYU":[34],"cohorts,":[35],"(ii)":[37],"multimodal":[38,80,158],"image-text":[39,104,195],"hospital":[43,94,103,194],"paired":[46],"with":[47,112,229],"radiologist":[48],"impressions.":[49],"For":[50],"diagnostic":[51,100,202],"Kellgren-Lawrence":[52],"(KL)":[53],"grade":[54],"prediction,":[55],"yielded":[57],"mixed":[58],"results.":[59],"While":[60],"improved":[63,161],"accuracy":[64],"during":[65,76],"linear":[66],"probing":[67],"(frozen":[68],"encoder),":[69],"it":[70],"did":[71],"not":[72,142],"outperform":[73],"ImageNet":[74,166],"pretraining":[75,95,206,231],"full":[77,125],"fine-tuning.":[78],"Similarly,":[79],"failed":[82],"improve":[84],"grading":[85,203],"performance.":[86],"A":[87],"likely":[88],"explanation":[89],"is":[90,208,226],"mismatch":[91],"between":[92],"corpus":[96],"downstream":[99,224],"task:":[101],"dataset":[105],"was":[106],"restricted":[107],"knees":[109],"patients":[111],"clinically":[113],"identified":[114],"OA":[115,211],"in":[116,168],"routine":[117],"care,":[118],"rather":[119],"than":[120],"a":[121,216],"cohort":[122,207],"spanning":[123],"spectrum":[126],"normal":[128],"severe":[130],"disease":[131],"needed":[132],"balanced":[134],"KL":[135,145],"grading.":[136],"In":[137,154],"addition,":[138],"radiology":[139],"impressions":[140],"do":[141],"explicitly":[143],"encode":[144],"grade,":[146],"limiting":[147],"supervision":[148],"KL-specific":[151],"decision":[152],"boundaries.":[153],"contrast,":[155],"this":[156],"same":[157],"initialization":[159],"significantly":[160],"prognostic":[162,220],"modeling.":[163],"It":[164],"outperformed":[165],"baselines":[167],"predicting":[169],"4-year":[170],"structural":[171],"incidence":[172],"progression,":[174],"including":[175],"external":[177],"validation":[178],"(MOST":[179],"AUROC:":[180],"0.701":[181],"vs.":[182],"0.599":[183],"at":[184],"10\\%":[185],"labeled":[186],"data).":[187],"Overall,":[188],"these":[189],"results":[190],"suggest":[191],"that":[192],"our":[193],"data":[196,232],"may":[197],"be":[198],"less":[199],"effective":[200],"when":[204,222],"limited":[209],"knees,":[212],"but":[213],"can":[214],"provide":[215],"strong":[217],"signal":[218],"task":[225],"better":[227],"aligned":[228],"distribution.":[233]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-28T00:00:00"}
