{"id":"https://openalex.org/W4403659312","doi":"https://doi.org/10.3389/fdata.2024.1502398","title":"Editorial: Utilizing big data and deep learning to improve healthcare intelligence and biomedical service delivery","display_name":"Editorial: Utilizing big data and deep learning to improve healthcare intelligence and biomedical service delivery","publication_year":2024,"publication_date":"2024-10-22","ids":{"openalex":"https://openalex.org/W4403659312","doi":"https://doi.org/10.3389/fdata.2024.1502398","pmid":"https://pubmed.ncbi.nlm.nih.gov/39502340"},"language":"en","primary_location":{"id":"doi:10.3389/fdata.2024.1502398","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fdata.2024.1502398","pdf_url":"https://www.frontiersin.org/journals/big-data/articles/10.3389/fdata.2024.1502398/pdf","source":{"id":"https://openalex.org/S4210201220","display_name":"Frontiers in Big Data","issn_l":"2624-909X","issn":["2624-909X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Big Data","raw_type":"journal-article"},"type":"editorial","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.frontiersin.org/journals/big-data/articles/10.3389/fdata.2024.1502398/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066276015","display_name":"V E Sathishkumar","orcid":"https://orcid.org/0000-0002-8271-2022"},"institutions":[{"id":"https://openalex.org/I84339108","display_name":"Sunway University","ror":"https://ror.org/04mjt7f73","country_code":"MY","type":"education","lineage":["https://openalex.org/I84339108"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"V. E. Sathishkumar","raw_affiliation_strings":["Department of Computing and Information Systems, Sunway University, Bandar Sunway, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing and Information Systems, Sunway University, Bandar Sunway, Malaysia","institution_ids":["https://openalex.org/I84339108"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5066276015"],"corresponding_institution_ids":["https://openalex.org/I84339108"],"apc_list":{"value":1285,"currency":"USD","value_usd":1285},"apc_paid":{"value":1285,"currency":"USD","value_usd":1285},"fwci":null,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":null,"first_page":"1502398","last_page":"1502398"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.6967999935150146,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.6967999935150146,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.708256721496582},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5343085527420044},{"id":"https://openalex.org/keywords/healthcare-delivery","display_name":"Healthcare delivery","score":0.5211165547370911},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.5147021412849426},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5057802200317383},{"id":"https://openalex.org/keywords/healthcare-service","display_name":"Healthcare service","score":0.46156778931617737},{"id":"https://openalex.org/keywords/service-delivery-framework","display_name":"Service delivery framework","score":0.42629384994506836},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.39967846870422363},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.19643285870552063},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.10508930683135986},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.08875206112861633}],"concepts":[{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.708256721496582},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5343085527420044},{"id":"https://openalex.org/C3018457447","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Healthcare delivery","level":3,"score":0.5211165547370911},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.5147021412849426},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5057802200317383},{"id":"https://openalex.org/C3018279614","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Healthcare service","level":3,"score":0.46156778931617737},{"id":"https://openalex.org/C68595000","wikidata":"https://www.wikidata.org/wiki/Q2274177","display_name":"Service delivery framework","level":3,"score":0.42629384994506836},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.39967846870422363},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.19643285870552063},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.10508930683135986},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.08875206112861633},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3389/fdata.2024.1502398","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fdata.2024.1502398","pdf_url":"https://www.frontiersin.org/journals/big-data/articles/10.3389/fdata.2024.1502398/pdf","source":{"id":"https://openalex.org/S4210201220","display_name":"Frontiers in Big Data","issn_l":"2624-909X","issn":["2624-909X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Big Data","raw_type":"journal-article"},{"id":"pmid:39502340","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39502340","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,"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":"Frontiers in big data","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11534799","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11534799","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11534799/pdf/fdata-07-1502398.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,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Front Big Data","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:4b13839a368e475b986e15b08d0fc5b5","is_oa":false,"landing_page_url":"https://doaj.org/article/4b13839a368e475b986e15b08d0fc5b5","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Frontiers in Big Data, Vol 7 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3389/fdata.2024.1502398","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fdata.2024.1502398","pdf_url":"https://www.frontiersin.org/journals/big-data/articles/10.3389/fdata.2024.1502398/pdf","source":{"id":"https://openalex.org/S4210201220","display_name":"Frontiers in Big Data","issn_l":"2624-909X","issn":["2624-909X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Big Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403659312.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3215038878","https://openalex.org/W4375840519","https://openalex.org/W634837882","https://openalex.org/W2798920256","https://openalex.org/W4207012131","https://openalex.org/W4299647711","https://openalex.org/W2102338924","https://openalex.org/W2155059751","https://openalex.org/W4401558279","https://openalex.org/W1460595643"],"abstract_inverted_index":{"The":[0,222,260,400,417,445,496,576,614,651,663,712,779],"integration":[1],"of":[2,15,50,62,75,90,107,116,135,143,161,211,253,265,322,351,361,389,405,414,419,486,531,552,563,587,717,739,788,813,844,859],"big":[3,91,790,846],"data":[4,92,137,148,217,354,392,438,501,791,847],"and":[5,19,28,35,47,82,93,128,159,194,201,236,245,250,279,292,311,326,359,380,386,440,472,494,534,544,550,573,638,647,655,669,675,680,700,719,762,769,785,792,802,816,827,837,848,861],"deep":[6,94,632,697,793,849],"learning":[7,95,166,633,698,794,850],"in":[8,70,100,154,188,276,371,394,398,426,450,468,571,591,604,625,671,709,743,751,776],"healthcare":[9,54,71,130,136,163,777,796,814],"is":[10,79,286],"rapidly":[11],"transforming":[12],"the":[13,44,60,88,156,209,251,263,349,357,384,403,411,420,429,451,526,548,560,715,723,727,737,782,810,825],"landscape":[14],"medical":[16,328,608],"research,":[17],"diagnostics,":[18],"patient":[20,126,569],"care.":[21],"Our":[22],"Research":[23,77,757,833],"Topic,":[24],""Utilizing":[25,759],"Big":[26,760],"Data":[27,761],"Deep":[29,165,763],"Learning":[30,764],"to":[31,80,96,111,122,171,180,231,269,288,338,355,376,454,489,504,598,643,705,765,809,823,831],"Improve":[32,766],"Healthcare":[33,767],"Intelligence":[34,768],"Biomedical":[36,770],"Service":[37,771],"Delivery,"":[38],"compiles":[39],"groundbreaking":[40],"studies":[41,239,807],"that":[42,86,581,722],"demonstrate":[43,781],"innovative":[45,84,481,804],"applications":[46,784],"significant":[48,774],"impact":[49,252,622],"these":[51,118,181,806],"technologies":[52,119,184],"on":[53,256,297,434,657],"systems":[55],"worldwide.":[56],"This":[57,346,734],"editorial":[58],"synthesizes":[59],"contributions":[61],"seven":[63],"featured":[64],"articles,":[65],"highlighting":[66,365,748],"their":[67,169,649],"collective":[68],"advancements":[69,775],"intelligence.The":[72],"primary":[73],"aim":[74,110],"this":[76,832],"Topic":[78,758],"explore":[81,293,559],"showcase":[83],"research":[85,285,397,459,735],"harnesses":[87],"power":[89],"address":[97,289],"critical":[98,800],"challenges":[99,388,801],"healthcare.":[101],"By":[102,518,798],"presenting":[103],"a":[104,113,177,216,304,320,448,514,631,678],"diverse":[105],"range":[106],"studies,":[108],"we":[109],"provide":[112],"comprehensive":[114],"overview":[115],"how":[117,619,845],"are":[120,185],"utilized":[121],"improve":[123,280,490],"diagnostic":[124,306,335,363,682],"accuracy,":[125,667],"care,":[127],"overall":[129],"system":[131,307],"efficiency.The":[132],"exponential":[133],"growth":[134],"necessitates":[138],"advanced":[139,740],"analytical":[140],"tools":[141],"capable":[142],"extracting":[144],"meaningful":[145],"insights.":[146],"Traditional":[147],"analysis":[149,502],"methods":[150,578,704],"often":[151],"fall":[152],"short":[153],"managing":[155,744],"volume,":[157],"variety,":[158],"velocity":[160],"modern":[162,605],"data.":[164,416],"algorithms,":[167],"with":[168,373,410,523,589],"capacity":[170],"learn":[172],"from":[173,330,508,660],"complex":[174],"datasets,":[175],"offer":[176],"robust":[178],"solution":[179],"challenges.":[182],"These":[183,238],"particularly":[186,726],"valuable":[187],"personalized":[189],"medicine,":[190],"public":[191,233,254,274,395,412,457,745],"health":[192,203,220,234,248,257,277,281,295,396,415,458,470,746],"monitoring,":[193],"clinical":[195,369],"decision":[196],"support,":[197],"enabling":[198],"tailored":[199],"treatments":[200],"proactive":[202],"management.":[204],"Rowalt":[205],"Alibudbud's":[206],"review":[207,261],"examines":[208],"use":[210,467],"Wikipedia":[212,228,266],"page":[213,229,267],"views":[214,230,268],"as":[215],"source":[218],"for":[219,314,368,431,442,464,483,540,568,611,684,689],"research.":[221,444],"study":[223,347,497,527,579,615,652,713],"analyzed":[224],"29":[225],"publications":[226],"utilizing":[227],"inform":[232],"services":[235],"policies.":[237],"covered":[240],"various":[241],"topics,":[242,278],"including":[243],"non-communicable":[244],"infectious":[246],"diseases,":[247],"interventions,":[249],"events":[255],"information":[258,408],"usage.":[259],"highlights":[262],"potential":[264,367,786],"estimate":[270],"disease":[271,492],"incidence,":[272],"predict":[273,706],"interest":[275],"education":[282],"activities.":[283],"Future":[284],"encouraged":[287],"replication":[290],"limitations":[291],"other":[294],"topics":[296],"Wikipedia.Huanyu":[298],"Li":[299,476],"et":[300,477,557,628,694],"al.":[301,478,558,629,695],"introduce":[302],"DIET-AI,":[303],"novel":[305],"combining":[308,519],"dual-channel":[309],"images":[310,325,659],"extracted":[312],"text":[313],"diagnosing":[315],"skin":[316,344],"diseases.":[317,345],"Developed":[318],"using":[319,390,513,635],"dataset":[321],"over":[323],"200,000":[324],"220,000":[327],"records":[329],"Asian":[331],"populations,":[332],"DIET-AI":[333],"demonstrated":[334,665],"performance":[336],"comparable":[337],"senior":[339],"dermatologists":[340],"across":[341],"31":[342],"common":[343],"underscores":[348,428,736],"importance":[350,738],"integrating":[352,789],"multimodal":[353],"enhance":[356],"accuracy":[358],"reliability":[360],"AI-driven":[362],"tools,":[364],"its":[366],"application":[370],"regions":[372],"limited":[374],"access":[375],"specialist":[377],"care.Yu":[378],"Yao":[379],"Fei":[381],"Yang":[382],"discuss":[383],"legal":[385,452],"ethical":[387],"real-world":[391],"(RWD)":[393],"China.":[399,575],"article":[401],"addresses":[402],"complexities":[404],"balancing":[406],"personal":[407],"protection":[409],"value":[413],"implementation":[418],"Personal":[421],"Information":[422,862],"Protection":[423],"Law":[424],"(PIPL)":[425],"2021":[427],"need":[430],"clear":[432],"guidelines":[433],""separate":[435],"consent,"":[436],"cross-border":[437],"transfer,":[439],"exceptions":[441],"scientific":[443],"authors":[446,826],"propose":[447],"shift":[449],"framework":[453],"better":[455],"support":[456],"while":[460,602],"respecting":[461],"privacy,":[462],"essential":[463],"advancing":[465],"RWD":[466],"improving":[469,752],"outcomes":[471],"guiding":[473],"policy":[474],"decisions.Liuying":[475],"present":[479],"an":[480,499,520,537],"method":[482,683],"automated":[484],"segmentation":[485],"heart":[487,506,510,532,541,553],"sounds":[488,507,533],"cardiovascular":[491],"prediction":[493,549],"diagnosis.":[495],"designed":[498],"audio":[500],"tool":[503],"segment":[505],"single":[509],"cycles,":[511],"validated":[512],"finger":[515],"oxygen":[516],"meter.":[517],"electronic":[521],"stethoscope":[522],"AI":[524],"technology,":[525],"achieved":[528],"accurate":[529,732],"identification":[530],"murmurs,":[535],"providing":[536],"objective":[538,681],"basis":[539],"sound":[542],"auscultation":[543],"visual":[545],"display,":[546],"enhancing":[547],"diagnosis":[551],"disease.":[554],"Dongjin":[555],"Chen":[556],"adoption":[561,624],"patterns":[562],"mobile":[564],"apps":[565,597,610],"by":[566],"doctors":[567,590],"communication":[570],"Hangzhou":[572],"Yancheng,":[574],"mixed":[577],"found":[580],"social":[582,595,600],"context":[583],"influences":[584],"doctors'":[585],"choice":[586],"apps,":[588],"traditional":[592],"societies":[593,606],"favoring":[594],"networking":[596],"maintain":[599],"connections,":[601],"those":[603],"prefer":[607],"platform":[609],"reputation":[612],"marketing.":[613],"provides":[616],"insights":[617,838],"into":[618,795],"societal":[620],"attributes":[621],"technology":[623],"healthcare.Lan":[626],"He":[627],"developed":[630],"algorithm":[634,664],"bilinear":[636],"convolutional":[637],"residual":[639],"neural":[640],"networks":[641],"(BCNN-ResNet)":[642],"detect":[644],"carotid":[645,685],"plaques":[646],"assess":[648],"stability.":[650],"involved":[653],"training":[654],"testing":[656],"ultrasound":[658],"multiple":[661],"hospitals.":[662],"high":[666],"sensitivity,":[668],"specificity":[670],"identifying":[672],"plaque":[673],"presence":[674],"stability,":[676],"offering":[677],"consistent":[679],"artery":[686],"screening,":[687],"crucial":[688],"stroke":[690],"prevention.":[691],"Areej":[692],"Alhhazmi":[693],"employed":[696],"(DL)":[699],"Bayesian":[701],"optimization":[702],"(BOA)":[703],"COVID-19":[707],"cases":[708],"Saudi":[710],"Arabia.":[711],"compared":[714],"efficacy":[716],"BOA":[718],"DL,":[720],"finding":[721],"DL":[724],"approach,":[725],"DQN":[728],"model,":[729],"provided":[730],"more":[731],"predictions.":[733],"predictive":[741],"models":[742],"crises,":[747],"AI's":[749],"role":[750],"response":[753],"strategies":[754],"during":[755],"pandemics.The":[756],"Delivery"":[772],"showcases":[773],"technology.":[778],"articles":[780],"practical":[783],"benefits":[787],"systems.":[797],"addressing":[799],"proposing":[803],"solutions,":[805],"contribute":[808],"ongoing":[811],"transformation":[812],"intelligence":[815],"biomedical":[817],"service":[818],"delivery.We":[819],"extend":[820],"our":[821,842],"gratitude":[822],"all":[824],"reviewers":[828],"who":[829],"contributed":[830],"Topic.":[834],"Their":[835],"dedication":[836],"have":[839],"significantly":[840],"enriched":[841],"understanding":[843],"can":[851],"revolutionize":[852],"healthcare.Dr.":[853],"Sathishkumar":[854],"V":[855],"E":[856],"Lecturer,":[857],"Department":[858],"Computing":[860],"Systems":[863],"Sunway":[864],"University,":[865],"Malaysia":[866]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}