{"id":"https://openalex.org/W7138035458","doi":"https://doi.org/10.1609/aaai.v40i24.39047","title":"Medical Vision\u2013Language Pretraining with LLM-Guided Temporal Supervision","display_name":"Medical Vision\u2013Language Pretraining with LLM-Guided Temporal Supervision","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7138035458","doi":"https://doi.org/10.1609/aaai.v40i24.39047"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v40i24.39047","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i24.39047","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1609/aaai.v40i24.39047","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129647863","display_name":"Liang Bai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liang Bai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129739695","display_name":"Zhi Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhi Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129669649","display_name":"Huimin Yan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huimin Yan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5129732518","display_name":"Xian Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xian Yang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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":"40","issue":"24","first_page":"19666","last_page":"19674"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.7700999975204468,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.7700999975204468,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T13702","display_name":"Machine Learning in Healthcare","score":0.12309999763965607,"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/T10028","display_name":"Topic Modeling","score":0.04039999842643738,"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/semantics","display_name":"Semantics (computer science)","score":0.6814000010490417},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5181000232696533},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.3515999913215637},{"id":"https://openalex.org/keywords/language-understanding","display_name":"Language understanding","score":0.34220001101493835},{"id":"https://openalex.org/keywords/clinical-practice","display_name":"Clinical Practice","score":0.31709998846054077},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.2921000123023987}],"concepts":[{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6814000010490417},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6456000208854675},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.542900025844574},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5181000232696533},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.47290000319480896},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.3515999913215637},{"id":"https://openalex.org/C2983448237","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Language understanding","level":2,"score":0.34220001101493835},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3416999876499176},{"id":"https://openalex.org/C2779974597","wikidata":"https://www.wikidata.org/wiki/Q28448986","display_name":"Clinical Practice","level":2,"score":0.31709998846054077},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2921000123023987},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.27720001339912415},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.27219998836517334},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2718999981880188},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.27140000462532043},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.26739999651908875},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.2556999921798706},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.25529998540878296},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.2515999972820282}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v40i24.39047","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i24.39047","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/39047","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/39047","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i24.39047","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i24.39047","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7887617349624634}],"awards":[{"id":"https://openalex.org/G2176691914","display_name":null,"funder_award_id":"62432006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6929609165","display_name":null,"funder_award_id":"62276159","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Medical":[0],"vision\u2013language":[1,91,133],"pretraining":[2],"typically":[3],"relies":[4],"on":[5,103],"static":[6],"image\u2013text":[7],"pairs,":[8],"overlooking":[9],"temporal":[10,39,83,136],"cues":[11],"vital":[12],"for":[13,139],"understanding":[14],"clinical":[15,30,57,77,140],"progression.":[16],"This":[17],"limits":[18],"model":[19],"sensitivity":[20],"to":[21,94,131],"evolving":[22],"semantics":[23,84],"and":[24,70,89,99,112],"reduces":[25],"their":[26],"effectiveness":[27],"in":[28],"real-world":[29],"reasoning.":[31],"To":[32],"address":[33],"this":[34],"challenge,":[35],"we":[36],"propose":[37],"TAMM\u2014a":[38],"alignment":[40,98],"framework":[41],"that":[42,108],"leverages":[43],"weak":[44],"but":[45],"semantically":[46],"rich":[47],"supervision":[48,130],"from":[49],"large":[50],"language":[51],"models":[52,134],"(LLMs).":[53],"Given":[54],"temporally":[55,119],"adjacent":[56],"reports,":[58],"LLMs":[59],"automatically":[60],"generate":[61],"(i)":[62],"coarse-grained":[63],"trend":[64],"labels":[65],"(e.g.,":[66],"improving":[67],"or":[68],"worsening),":[69],"(ii)":[71],"fine-grained":[72],"rationales":[73],"explaining":[74],"the":[75,125],"supporting":[76],"evidence.":[78],"These":[79],"complementary":[80],"signals":[81],"inject":[82],"without":[85],"requiring":[86],"manual":[87],"annotation,":[88],"guide":[90],"representation":[92],"learning":[93],"capture":[95],"trend-sensitive":[96],"cross-modal":[97],"rationale-grounded":[100],"coherence.":[101],"Experiments":[102],"multiple":[104],"medical":[105],"benchmarks":[106],"demonstrate":[107],"TAMM":[109],"improves":[110],"retrieval":[111],"classification":[113],"performance":[114],"while":[115],"yielding":[116],"more":[117],"interpretable,":[118],"consistent":[120],"embeddings.":[121],"Our":[122],"results":[123],"highlight":[124],"potential":[126],"of":[127],"leveraging":[128],"LLM-derived":[129],"equip":[132],"with":[135],"awareness":[137],"critical":[138],"applications.":[141]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-03-18T00:00:00"}