{"id":"https://openalex.org/W4390889685","doi":null,"title":"Transferable and Interpretable Treatment Effectiveness Prediction for Ovarian Cancer via Multimodal Deep Learning.","display_name":"Transferable and Interpretable Treatment Effectiveness Prediction for Ovarian Cancer via Multimodal Deep Learning.","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4390889685","pmid":"https://pubmed.ncbi.nlm.nih.gov/38222355","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/10785847"},"language":"en","primary_location":{"id":"pmh:oai:pubmedcentral.nih.gov:10785847","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10785847","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10785847/pdf/1330.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"AMIA Annu Symp Proc","raw_type":"Text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10785847/pdf/1330.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050945865","display_name":"Emily Nguyen","orcid":"https://orcid.org/0000-0003-4917-7336","observed_orcids":["https://orcid.org/0000-0003-4917-7336","https://orcid.org/0000-0002-7135-0425"]},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Emily Nguyen","raw_affiliation_strings":["Computer Science Department, University of Southern California, Los Angeles, CA, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Southern California, Los Angeles, CA, U.S.A","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038674626","display_name":"Zijun Cui","orcid":"https://orcid.org/0000-0002-4362-197X","observed_orcids":["https://orcid.org/0000-0002-4362-197X"]},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zijun Cui","raw_affiliation_strings":["Computer Science Department, University of Southern California, Los Angeles, CA, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Southern California, Los Angeles, CA, U.S.A","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055956846","display_name":"Georgia Kokaraki","orcid":"https://orcid.org/0000-0002-6372-4239","observed_orcids":["https://orcid.org/0000-0002-6372-4239"]},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Georgia Kokaraki","raw_affiliation_strings":["Keck School of Medicine, University of Southern California, Los Angeles, CA, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Keck School of Medicine, University of Southern California, Los Angeles, CA, U.S.A","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046514159","display_name":"Joseph W. Carlson","orcid":"https://orcid.org/0000-0002-3006-4107","observed_orcids":["https://orcid.org/0000-0002-3006-4107"]},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joseph Carlson","raw_affiliation_strings":["Keck School of Medicine, University of Southern California, Los Angeles, CA, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Keck School of Medicine, University of Southern California, Los Angeles, CA, U.S.A","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100351175","display_name":"Yan Liu","orcid":"https://orcid.org/0000-0002-7055-9518","observed_orcids":["https://orcid.org/0000-0002-7055-9518","https://orcid.org/0000-0003-4242-4840"]},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yan Liu","raw_affiliation_strings":["Computer Science Department, University of Southern California, Los Angeles, CA, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Southern California, Los Angeles, CA, U.S.A","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":null,"apc_paid":null,"fwci":0.2805,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.49979603,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":"2023","issue":null,"first_page":"550","last_page":"558"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9282000064849854,"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"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9282000064849854,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.03099999949336052,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.02370000071823597,"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/ovarian-cancer","display_name":"ovarian cancer","score":1.0},{"id":"https://openalex.org/keywords/treatment-effectiveness-prediction","display_name":"treatment efficacy prediction","score":0.9169999957084656},{"id":"https://openalex.org/keywords/multimodal-deep-learning","display_name":"multimodal deep learning","score":0.8379999995231628},{"id":"https://openalex.org/keywords/interpretability","display_name":"interpretability","score":0.6990000009536743},{"id":"https://openalex.org/keywords/transfer-learning","display_name":"transfer learning","score":0.7419999837875366},{"id":"https://openalex.org/keywords/histopathological-images","display_name":"histopathological images","score":0.9490000009536743},{"id":"https://openalex.org/keywords/clinical-factors","display_name":"clinical factors","score":0.9869999885559082},{"id":"https://openalex.org/keywords/treatment-selection","display_name":"treatment selection","score":0.8119999766349792},{"id":"https://openalex.org/keywords/black-box-modeling","display_name":"black-box models","score":0.6819999814033508}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9366286993026733},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6999154090881348},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6945254802703857},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6790918111801147},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.640229344367981},{"id":"https://openalex.org/C2780427987","wikidata":"https://www.wikidata.org/wiki/Q172341","display_name":"Ovarian cancer","level":3,"score":0.46964070200920105},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.3370319902896881},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1971445083618164},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010051","descriptor_name":"Ovarian Neoplasms","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D010051","descriptor_name":"Ovarian Neoplasms","qualifier_ui":"Q000628","qualifier_name":"therapy","is_major_topic":true},{"descriptor_ui":"D016896","descriptor_name":"Treatment Outcome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"pmh:oai:pubmedcentral.nih.gov:10785847","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10785847","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10785847/pdf/1330.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"AMIA Annu Symp Proc","raw_type":"Text"},{"id":"pmid:38222355","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38222355","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"AMIA ... Annual Symposium proceedings. AMIA Symposium","raw_type":"Journal Article"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:10785847","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10785847","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10785847/pdf/1330.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"AMIA Annu Symp Proc","raw_type":"Text"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.9391000270843506}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390889685.pdf","grobid_xml":"https://content.openalex.org/works/W4390889685.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W1978005360","https://openalex.org/W1979319218","https://openalex.org/W2407353737","https://openalex.org/W2914209001","https://openalex.org/W2979647047","https://openalex.org/W2981648168","https://openalex.org/W3018295606","https://openalex.org/W3030555654","https://openalex.org/W3176719058","https://openalex.org/W4200425576","https://openalex.org/W4200566810","https://openalex.org/W4210395604","https://openalex.org/W4220850682","https://openalex.org/W4281817558","https://openalex.org/W4283020223"],"related_works":["https://openalex.org/W7079571818","https://openalex.org/W4393225721","https://openalex.org/W4409780209","https://openalex.org/W4387839116","https://openalex.org/W4414650186","https://openalex.org/W4283020223","https://openalex.org/W4388660228","https://openalex.org/W7120168698","https://openalex.org/W3156922928","https://openalex.org/W7160861752"],"abstract_inverted_index":{"Ovarian":[0],"cancer,":[1],"a":[2,13,37,69],"potentially":[3],"life-threatening":[4],"disease,":[5],"is":[6,12],"often":[7],"difficult":[8],"to":[9,87,112],"treat.":[10],"There":[11],"critical":[14],"need":[15],"for":[16,56],"innovations":[17],"that":[18,97],"can":[19,108],"assist":[20],"in":[21],"improved":[22],"therapy":[23],"selection.":[24],"Although":[25],"deep":[26,71],"learning":[27,72],"models":[28,100],"are":[29,34],"showing":[30],"promising":[31],"results,":[32],"they":[33],"employed":[35],"as":[36],"\"black-box\"":[38],"and":[39,50,105,107],"require":[40],"enormous":[41],"amounts":[42],"of":[43,53,91,119],"data.":[44,93],"Therefore,":[45],"we":[46,67],"explore":[47],"the":[48,89,92,98],"transferable":[49],"interpretable":[51],"prediction":[52,103],"treatment":[54],"effectiveness":[55],"ovarian":[57],"cancer":[58,114],"patients.":[59],"Unlike":[60],"existing":[61],"works":[62],"focusing":[63],"on":[64],"histopathology":[65,81],"images,":[66,82],"propose":[68],"multimodal":[70],"framework":[73],"which":[74],"takes":[75],"into":[76],"account":[77],"not":[78],"only":[79],"large":[80],"but":[83],"also":[84,109],"clinical":[85],"variables":[86],"increase":[88],"scope":[90],"The":[94],"results":[95],"demonstrate":[96],"proposed":[99],"achieve":[101],"high":[102],"accuracy":[104],"interpretability,":[106],"be":[110],"transferred":[111],"other":[113],"datasets":[115],"without":[116],"significant":[117],"loss":[118],"performance.":[120]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2024-01-16T00:00:00"}
