{"id":"https://openalex.org/W7155078086","doi":"https://doi.org/10.48550/arxiv.2604.18250","title":"Medical Image Understanding Improves Survival Prediction via Visual Instruction Tuning","display_name":"Medical Image Understanding Improves Survival Prediction via Visual Instruction Tuning","publication_year":2026,"publication_date":"2026-04-20","ids":{"openalex":"https://openalex.org/W7155078086","doi":"https://doi.org/10.48550/arxiv.2604.18250"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.18250","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.18250","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":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.18250","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101701500","display_name":"Xixi Liu","orcid":"https://orcid.org/0000-0002-3600-7891"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Xixi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134180651","display_name":"Jorge Lazo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lazo, Jorge","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015589690","display_name":"Andreas Hallqvist","orcid":"https://orcid.org/0000-0002-3705-194X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hallqvist, Andreas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134196995","display_name":"Mikael Johansson","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Johansson, Mikael","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134197144","display_name":"\u00c5se Johnsson","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Johnsson, \u00c5se","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134186047","display_name":"Jonas S Andersson","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andersson, Jonas S","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084339876","display_name":"Ella \u00c4. Eklund","orcid":"https://orcid.org/0000-0002-7962-6836"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eklund, Ella \u00c4ng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088880538","display_name":"Patrik Sund","orcid":"https://orcid.org/0000-0002-9947-1253"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sund, Patrik","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075146016","display_name":"Nasser Hosseini","orcid":"https://orcid.org/0000-0002-8370-6097"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hosseini, Nasser","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045261569","display_name":"Jennifer Alv\u00e9n","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alv\u00e9n, Jennifer","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5080737486","display_name":"Ida H\u00e4ggstr\u00f6m","orcid":"https://orcid.org/0000-0001-9178-6683"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"H\u00e4ggstr\u00f6m, Ida","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":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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.8831999897956848,"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":0.8831999897956848,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.01769999973475933,"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"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.015300000086426735,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43389999866485596},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.40470001101493835},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.40139999985694885},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.3741999864578247},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.35830000042915344},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3450999855995178},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.33009999990463257}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6642000079154968},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.623199999332428},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43389999866485596},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.40470001101493835},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40230000019073486},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.40139999985694885},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38670000433921814},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3741999864578247},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.35830000042915344},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3450999855995178},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.33009999990463257},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3222000002861023},{"id":"https://openalex.org/C10515644","wikidata":"https://www.wikidata.org/wiki/Q543310","display_name":"Survival analysis","level":2,"score":0.31929999589920044},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.31189998984336853},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.30889999866485596},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2849999964237213},{"id":"https://openalex.org/C3018822202","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Patient data","level":2,"score":0.259799987077713}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.18250","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.18250","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.18250","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.18250","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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7227323651313782,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"prognostication":[1],"and":[2,11,27,35,116],"risk":[3],"estimation":[4],"are":[5],"essential":[6],"for":[7,56],"guiding":[8],"clinical":[9,117,142],"decision-making":[10],"optimizing":[12],"patient":[13],"management.":[14],"While":[15],"radiologist-assessed":[16],"features":[17],"from":[18,113],"CT":[19,58,65,114],"scans":[20],"provide":[21],"valuable":[22],"indicators":[23],"of":[24,104],"disease":[25],"severity":[26],"outcomes,":[28],"interpreting":[29],"such":[30],"images":[31,66,115],"requires":[32],"expert":[33],"knowledge,":[34],"translating":[36],"rich":[37],"visual":[38,72],"information":[39,46],"into":[40],"textual":[41],"summaries":[42],"inevitably":[43],"leads":[44],"to":[45,80,91,125],"loss.":[47],"In":[48],"this":[49],"work,":[50],"we":[51],"propose":[52],"a":[53,98],"vision-language":[54],"framework":[55],"3D":[57],"image":[59],"understanding":[60],"that":[61,131],"leverages":[62],"large-scale":[63],"open-sourced":[64],"paired":[67],"with":[68],"radiology":[69],"reports":[70],"through":[71],"instruction":[73],"tuning.":[74],"This":[75],"pre-training":[76],"enables":[77],"the":[78,105],"model":[79],"learn":[81],"clinically":[82,121],"meaningful":[83,122],"visual-textual":[84],"representations,":[85],"which":[86],"can":[87],"then":[88],"be":[89,151],"adapted":[90],"downstream":[92],"survival":[93,99,111,138],"prediction":[94,100,112],"tasks.":[95],"By":[96],"incorporating":[97],"head":[101],"on":[102],"top":[103],"pre-trained":[106],"model,":[107],"our":[108,132],"approach":[109],"improves":[110],"data":[118,143],"while":[119],"generating":[120],"language":[123],"responses":[124],"predefined":[126],"questions.":[127],"Experimental":[128],"results":[129],"demonstrate":[130],"method":[133],"outperforms":[134],"baseline":[135],"methods":[136],"in":[137],"prediction,":[139],"particularly,":[140],"when":[141],"alone":[144],"is":[145],"less":[146],"predictive.":[147],"The":[148],"code":[149],"will":[150],"released":[152],"upon":[153],"acceptance.":[154]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-22T00:00:00"}