{"id":"https://openalex.org/W4406328535","doi":"https://doi.org/10.1145/3706890.3706948","title":"Research Hotspots and Trends of Artificial Intelligence in Oncology Precision Medicine: A Bibliometric Analysis","display_name":"Research Hotspots and Trends of Artificial Intelligence in Oncology Precision Medicine: A Bibliometric Analysis","publication_year":2024,"publication_date":"2024-08-13","ids":{"openalex":"https://openalex.org/W4406328535","doi":"https://doi.org/10.1145/3706890.3706948"},"language":"en","primary_location":{"id":"doi:10.1145/3706890.3706948","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3706890.3706948","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 5th International Symposium on Artificial Intelligence for Medicine Science","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Jianwen Zeng","orcid":"https://orcid.org/0009-0000-8324-5545"},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianwen Zeng","raw_affiliation_strings":["School of Nursing, Hangzhou Normal University, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0009-0000-8324-5545","affiliations":[{"raw_affiliation_string":"School of Nursing, Hangzhou Normal University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I163151501"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026071960","display_name":"Shihua Cao","orcid":"https://orcid.org/0000-0002-9391-2345"},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shihua Cao","raw_affiliation_strings":["School of Nursing, Hangzhou Normal University, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0002-9391-2345","affiliations":[{"raw_affiliation_string":"School of Nursing, Hangzhou Normal University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I163151501"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113710224","display_name":"Shuying Shen","orcid":"https://orcid.org/0009-0006-0817-0719"},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiying Shen","raw_affiliation_strings":["School of Nursing, Hangzhou Normal University, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0009-0006-0817-0719","affiliations":[{"raw_affiliation_string":"School of Nursing, Hangzhou Normal University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I163151501"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104079325","display_name":"Xin Liu","orcid":"https://orcid.org/0009-0002-2738-7674"},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Liu","raw_affiliation_strings":["School of Nursing, Hangzhou Normal University, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0009-0002-2738-7674","affiliations":[{"raw_affiliation_string":"School of Nursing, Hangzhou Normal University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I163151501"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038627919","display_name":"Sixie Li","orcid":null},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sixie Li","raw_affiliation_strings":["School of Nursing, Hangzhou Normal University, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0009-0006-7458-9761","affiliations":[{"raw_affiliation_string":"School of Nursing, Hangzhou Normal University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I163151501"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I163151501"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.41823815,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"332","last_page":"337"},"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":0.9983999729156494,"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":0.9983999729156494,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.9958000183105469,"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"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9772999882698059,"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/precision-medicine","display_name":"Precision medicine","score":0.5385075807571411},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48378250002861023},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.43388473987579346},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3410869836807251},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2677801251411438},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.07452169060707092}],"concepts":[{"id":"https://openalex.org/C163763905","wikidata":"https://www.wikidata.org/wiki/Q17075943","display_name":"Precision medicine","level":2,"score":0.5385075807571411},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48378250002861023},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.43388473987579346},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3410869836807251},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2677801251411438},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.07452169060707092}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3706890.3706948","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3706890.3706948","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 5th International Symposium on Artificial Intelligence for Medicine Science","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2791363371","https://openalex.org/W2912884588","https://openalex.org/W2915280689","https://openalex.org/W2957366757","https://openalex.org/W2982466209","https://openalex.org/W3146345129","https://openalex.org/W3194964772","https://openalex.org/W4313346475","https://openalex.org/W4320731270","https://openalex.org/W4391841701","https://openalex.org/W4394598267"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"With":[0],"the":[1,26,35,46,68,76,82,102,110,113,119,127,141,156,163,193,211],"rise":[2],"of":[3,19,37,55,59,70,81,90,104,116,129,158,165,213],"artificial":[4,214],"intelligence,":[5],"it":[6,173,182],"is":[7,22,140,170,183],"playing":[8],"an":[9,187],"increasing":[10],"role":[11],"in":[12,34,39,52,57,84,101,131,144,155],"precision":[13,41,53,160],"oncology":[14,40,56],"medicine.":[15,42],"Objective:":[16],"The":[17],"aim":[18],"this":[20,85,145],"study":[21],"to":[23,66,74,185,205,208],"comprehensively":[24],"evaluate":[25],"current":[27],"state,":[28],"hot":[29],"topics,":[30],"and":[31,63,72,79,118,162,168,181,201],"future":[32],"trends":[33],"application":[36,51,128],"AI":[38,50,130],"Methods:":[43],"We":[44],"searched":[45],"relevant":[47,92],"literature":[48],"on":[49],"medicine":[54],"Web":[58],"Science":[60],"core":[61],"database,":[62],"used":[64],"Excel":[65],"analyze":[67],"trend":[69,100],"publications,":[71,106,117],"CiteSpace":[73],"visualize":[75],"country,":[77],"institution,":[78],"keywords":[80],"articles":[83],"field.":[86,146],"Results:":[87],"A":[88],"total":[89],"279":[91],"literatures":[93],"were":[94],"included,":[95],"with":[96,107,112],"a":[97,151,177],"general":[98],"upward":[99],"number":[103,115],"annual":[105],"China":[108],"being":[109],"country":[111],"largest":[114],"research":[120,142,190],"institutions":[121,169],"dominated":[122],"by":[123],"universities.":[124],"At":[125,192],"present,":[126],"predictive":[132],"model":[133],"construction,":[134],"disease":[135],"diagnosis,":[136],"drug":[137],"therapy,":[138],"etc.":[139],"hotspot":[143],"Conclusion:":[147],"Artificial":[148],"intelligence":[149],"has":[150,174],"good":[152,178],"development":[153,212],"prospect":[154],"field":[157],"tumor":[159],"medicine,":[161],"attention":[164],"various":[166],"countries":[167],"increasing,":[171],"but":[172],"not":[175],"formed":[176],"cooperative":[179,189],"relationship,":[180],"necessary":[184],"establish":[186],"efficient":[188],"cluster.":[191],"same":[194],"time,":[195],"there":[196],"are":[197],"also":[198],"some":[199],"challenges,":[200],"corresponding":[202],"countermeasures":[203],"need":[204],"be":[206],"made":[207],"better":[209],"promote":[210],"intelligence.":[215]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}