{"id":"https://openalex.org/W4361284377","doi":"https://doi.org/10.1007/s44196-023-00225-6","title":"A Review of the Application of Multi-modal Deep Learning in Medicine: Bibliometrics and Future Directions","display_name":"A Review of the Application of Multi-modal Deep Learning in Medicine: Bibliometrics and Future Directions","publication_year":2023,"publication_date":"2023-03-29","ids":{"openalex":"https://openalex.org/W4361284377","doi":"https://doi.org/10.1007/s44196-023-00225-6"},"language":"en","primary_location":{"id":"doi:10.1007/s44196-023-00225-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44196-023-00225-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44196-023-00225-6.pdf","source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s44196-023-00225-6.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057280984","display_name":"Xiangdong Pei","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]},{"id":"https://openalex.org/I4210158984","display_name":"National Supercomputing Center in Wuxi","ror":"https://ror.org/04ypjrs34","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210158984"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangdong Pei","raw_affiliation_strings":["College of Computer, National University of Defense Technology, Changsha, 410073, China","Shanxi Supercomputing Center, Lvliang, 033000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defense Technology, Changsha, 410073, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"Shanxi Supercomputing Center, Lvliang, 033000, China","institution_ids":["https://openalex.org/I4210158984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049818854","display_name":"Ke Zuo","orcid":"https://orcid.org/0000-0002-7960-5699"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Zuo","raw_affiliation_strings":["College of Computer, National University of Defense Technology, Changsha, 410073, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defense Technology, Changsha, 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064837903","display_name":"Yuan Li","orcid":"https://orcid.org/0000-0001-9004-5146"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Li","raw_affiliation_strings":["College of Computer, National University of Defense Technology, Changsha, 410073, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defense Technology, Changsha, 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006200583","display_name":"Zhengbin Pang","orcid":"https://orcid.org/0000-0003-2046-5043"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhengbin Pang","raw_affiliation_strings":["College of Computer, National University of Defense Technology, Changsha, 410073, China"],"raw_orcid":"https://orcid.org/0000-0003-2046-5043","affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defense Technology, Changsha, 410073, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006200583"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":{"value":2090,"currency":"USD","value_usd":2090},"apc_paid":{"value":2090,"currency":"USD","value_usd":2090},"fwci":10.8533,"has_fulltext":true,"cited_by_count":71,"citation_normalized_percentile":{"value":0.99094587,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"16","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9994999766349792,"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/T10862","display_name":"AI in cancer detection","score":0.9962000250816345,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"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/computer-science","display_name":"Computer science","score":0.6932696104049683},{"id":"https://openalex.org/keywords/bibliometrics","display_name":"Bibliometrics","score":0.5882154703140259},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5197902917861938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5003848075866699},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.4874320328235626},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.48486098647117615},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4777188301086426},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44630616903305054},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4279450476169586},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40788793563842773},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.360588014125824}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6932696104049683},{"id":"https://openalex.org/C178315738","wikidata":"https://www.wikidata.org/wiki/Q603441","display_name":"Bibliometrics","level":2,"score":0.5882154703140259},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5197902917861938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5003848075866699},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.4874320328235626},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.48486098647117615},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4777188301086426},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44630616903305054},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4279450476169586},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40788793563842773},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.360588014125824},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s44196-023-00225-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44196-023-00225-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44196-023-00225-6.pdf","source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c6d40e6a04fa484d9e143639d016cfab","is_oa":true,"landing_page_url":"https://doaj.org/article/c6d40e6a04fa484d9e143639d016cfab","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Computational Intelligence Systems, Vol 16, Iss 1, Pp 1-20 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s44196-023-00225-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44196-023-00225-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44196-023-00225-6.pdf","source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Partnerships for the goals","score":0.5,"id":"https://metadata.un.org/sdg/17"}],"awards":[{"id":"https://openalex.org/G1705522348","display_name":null,"funder_award_id":"2020FP-11","funder_id":"https://openalex.org/F4320327913","funder_display_name":"ShanXi Science and Technology Department"}],"funders":[{"id":"https://openalex.org/F4320327913","display_name":"ShanXi Science and Technology Department","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4361284377.pdf"},"referenced_works_count":60,"referenced_works":["https://openalex.org/W1933349210","https://openalex.org/W2036109700","https://openalex.org/W2053101950","https://openalex.org/W2123455699","https://openalex.org/W2130371234","https://openalex.org/W2150220236","https://openalex.org/W2160441315","https://openalex.org/W2170653751","https://openalex.org/W2284539364","https://openalex.org/W2306408052","https://openalex.org/W2310177520","https://openalex.org/W2411377185","https://openalex.org/W2587828787","https://openalex.org/W2592929672","https://openalex.org/W2619383789","https://openalex.org/W2620578070","https://openalex.org/W2742947264","https://openalex.org/W2752879928","https://openalex.org/W2761668583","https://openalex.org/W2767290858","https://openalex.org/W2768956845","https://openalex.org/W2794803511","https://openalex.org/W2797527544","https://openalex.org/W2889690346","https://openalex.org/W2892053105","https://openalex.org/W2899335103","https://openalex.org/W2917364154","https://openalex.org/W2918188325","https://openalex.org/W2928133111","https://openalex.org/W2946099214","https://openalex.org/W2954499361","https://openalex.org/W2984306354","https://openalex.org/W2996092187","https://openalex.org/W3027067038","https://openalex.org/W3031176687","https://openalex.org/W3037083567","https://openalex.org/W3043108808","https://openalex.org/W3082123160","https://openalex.org/W3083699157","https://openalex.org/W3086199683","https://openalex.org/W3090449556","https://openalex.org/W3091588028","https://openalex.org/W3126792443","https://openalex.org/W3134151358","https://openalex.org/W3135367836","https://openalex.org/W3137675974","https://openalex.org/W3143320354","https://openalex.org/W3165647589","https://openalex.org/W3173220247","https://openalex.org/W3184735396","https://openalex.org/W3202179572","https://openalex.org/W3203023124","https://openalex.org/W3203934469","https://openalex.org/W3204433126","https://openalex.org/W3204958849","https://openalex.org/W3210070020","https://openalex.org/W3216182232","https://openalex.org/W4238591974","https://openalex.org/W6600195515","https://openalex.org/W6790978476"],"related_works":["https://openalex.org/W4386031268","https://openalex.org/W2125982917","https://openalex.org/W2294191624","https://openalex.org/W2885845152","https://openalex.org/W2264078859","https://openalex.org/W3181833980","https://openalex.org/W2289475868","https://openalex.org/W3037014916","https://openalex.org/W3003683721","https://openalex.org/W4380075502"],"abstract_inverted_index":{"Abstract":[0],"In":[1],"recent":[2],"years,":[3],"deep":[4,41],"learning":[5,42],"has":[6],"been":[7],"applied":[8],"in":[9,25,56,114],"the":[10,26,73,105,111,132,143,172],"field":[11],"of":[12,31,50,75,110,134],"clinical":[13,54],"medicine":[14],"to":[15],"process":[16],"large-scale":[17,21],"medical":[18,36,59,82,94,116],"images,":[19],"for":[20],"data":[22,37],"screening,":[23],"and":[24,28,46,58,61,67,81,86,99,108,149,155,167],"diagnosis":[27,57],"efficacy":[29],"evaluation":[30],"various":[32],"major":[33],"diseases.":[34],"Multi-modal":[35],"fusion":[38,78,84],"based":[39,141],"on":[40,123,131,142],"can":[43],"effectively":[44],"extract":[45],"integrate":[47],"characteristic":[48],"information":[49],"different":[51],"modes,":[52],"improve":[53],"applicability":[55],"evaluation,":[60],"provide":[62,119],"quantitative":[63],"analysis,":[64,162,164,166],"real-time":[65],"monitoring,":[66],"treatment":[68],"planning.":[69],"This":[70],"study":[71],"investigates":[72],"performance":[74],"existing":[76],"multi-modal":[77,83,115],"pre-training":[79],"algorithms":[80],"methods":[85],"compares":[87],"their":[88],"key":[89],"characteristics,":[90],"such":[91],"as":[92],"supported":[93],"data,":[95],"diseases,":[96],"target":[97],"samples,":[98],"implementation":[100],"performance.":[101],"Additionally,":[102],"we":[103,126,159],"present":[104],"main":[106],"challenges":[107],"goals":[109],"latest":[112],"trends":[113],"convergence.":[117],"To":[118],"a":[120],"clearer":[121],"perspective":[122],"new":[124],"trends,":[125,146],"also":[127],"analyzed":[128],"relevant":[129],"papers":[130],"Web":[133],"Science.":[135],"We":[136],"obtain":[137],"some":[138],"meaningful":[139],"results":[140],"annual":[144],"development":[145],"country,":[147],"institution,":[148],"journal-level":[150],"research,":[151],"highly":[152],"cited":[153],"papers,":[154],"research":[156],"directions.":[157],"Finally,":[158],"perform":[160],"co-authorship":[161],"co-citation":[163],"co-occurrence":[165],"bibliographic":[168],"coupling":[169],"analysis":[170],"using":[171],"VOSviewer":[173],"software.":[174]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":34},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":8}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}
