{"id":"https://openalex.org/W7224923915","doi":"https://doi.org/10.54005/geneltip.1958245","title":"Artificial Intelligence Trust and Literacy Paradox in Cardiovascular Scenarios: An Analysis of Early Adopters","display_name":"Artificial Intelligence Trust and Literacy Paradox in Cardiovascular Scenarios: An Analysis of Early Adopters","publication_year":2026,"publication_date":"2026-10-30","ids":{"openalex":"https://openalex.org/W7224923915","doi":"https://doi.org/10.54005/geneltip.1958245"},"language":"en","primary_location":{"id":"doi:10.54005/geneltip.1958245","doi":"https://doi.org/10.54005/geneltip.1958245","is_oa":true,"landing_page_url":"https://doi.org/10.54005/geneltip.1958245","pdf_url":null,"source":{"id":"https://openalex.org/S4210207413","display_name":"Genel T\u0131p Dergisi","issn_l":"1301-191X","issn":["1301-191X","2602-3741"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj","erih-plus","tr-dizin"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Genel T\u0131p Dergisi","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.54005/geneltip.1958245","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055216561","display_name":"G\u00f6rkem Y\u0131ld\u0131z","orcid":"https://orcid.org/0000-0001-6750-2601","observed_orcids":["https://orcid.org/0000-0001-6750-2601"]},"institutions":[{"id":"https://openalex.org/I4210138939","display_name":"Y\u00fcksek \u0130htisas \u00dcniversitesi","ror":"https://ror.org/04fbjgg20","country_code":"TR","type":"education","lineage":["https://openalex.org/I4210138939"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"G\u00f6rkem Y\u0131ld\u0131z","raw_affiliation_strings":["Y\u00dcKSEK \u0130HT\u0130SAS \u00dcN\u0130VERS\u0130TES\u0130"],"raw_orcid":"https://orcid.org/0000-0001-6750-2601","affiliations":[{"raw_affiliation_string":"Y\u00dcKSEK \u0130HT\u0130SAS \u00dcN\u0130VERS\u0130TES\u0130","institution_ids":["https://openalex.org/I4210138939"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5055216561"],"corresponding_institution_ids":["https://openalex.org/I4210138939"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.76929059,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"36","issue":"2026","first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.9911999702453613,"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"}},"topics":[{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.9911999702453613,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.00139999995008111,"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"}},{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.0010999999940395355,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/trust-in-ai","display_name":"trust in AI","score":0.9269999861717224},{"id":"https://openalex.org/keywords/patient-trust","display_name":"patient trust","score":0.6230000257492065},{"id":"https://openalex.org/keywords/cardiovascular-care","display_name":"cardiovascular care","score":0.9390000104904175},{"id":"https://openalex.org/keywords/algorithm-aversion","display_name":"algorithm aversion","score":0.8320000171661377},{"id":"https://openalex.org/keywords/patient-segmentation","display_name":"patient segmentation","score":0.5910000205039978},{"id":"https://openalex.org/keywords/medication-management","display_name":"medication management","score":0.7120000123977661},{"id":"https://openalex.org/keywords/emergency-department-triage","display_name":"emergency department triage","score":0.8920000195503235},{"id":"https://openalex.org/keywords/gender-differences","display_name":"gender differences","score":0.6389999985694885},{"id":"https://openalex.org/keywords/chronic-disease","display_name":"chronic disease","score":0.824999988079071},{"id":"https://openalex.org/keywords/educational-attainment","display_name":"educational attainment","score":0.4869999885559082}],"concepts":[{"id":"https://openalex.org/C2776050585","wikidata":"https://www.wikidata.org/wiki/Q7439360","display_name":"Scrutiny","level":2,"score":0.6593999862670898},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.6223000288009644},{"id":"https://openalex.org/C143095724","wikidata":"https://www.wikidata.org/wiki/Q515895","display_name":"Odds","level":3,"score":0.5521000027656555},{"id":"https://openalex.org/C547764534","wikidata":"https://www.wikidata.org/wiki/Q8236","display_name":"Literacy","level":2,"score":0.5504000186920166},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5175999999046326},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.5160999894142151},{"id":"https://openalex.org/C509550671","wikidata":"https://www.wikidata.org/wiki/Q126945","display_name":"Medical education","level":1,"score":0.39750000834465027},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.3961000144481659},{"id":"https://openalex.org/C2778843546","wikidata":"https://www.wikidata.org/wiki/Q3097973","display_name":"Health literacy","level":3,"score":0.3871000111103058},{"id":"https://openalex.org/C51110983","wikidata":"https://www.wikidata.org/wiki/Q16503490","display_name":"Overconfidence effect","level":2,"score":0.3668999969959259},{"id":"https://openalex.org/C2778431023","wikidata":"https://www.wikidata.org/wiki/Q878249","display_name":"Alliance","level":2,"score":0.3646000027656555},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.34450000524520874},{"id":"https://openalex.org/C75630572","wikidata":"https://www.wikidata.org/wiki/Q538904","display_name":"Applied psychology","level":1,"score":0.33149999380111694},{"id":"https://openalex.org/C156957248","wikidata":"https://www.wikidata.org/wiki/Q1862216","display_name":"Odds ratio","level":2,"score":0.3296999931335449},{"id":"https://openalex.org/C2779473830","wikidata":"https://www.wikidata.org/wiki/Q1540899","display_name":"MEDLINE","level":2,"score":0.322299987077713},{"id":"https://openalex.org/C2777941463","wikidata":"https://www.wikidata.org/wiki/Q1416374","display_name":"Financial literacy","level":2,"score":0.31049999594688416},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.3041999936103821},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.3021000027656555},{"id":"https://openalex.org/C125502","wikidata":"https://www.wikidata.org/wiki/Q1153279","display_name":"Early adopter","level":2,"score":0.290800005197525},{"id":"https://openalex.org/C120912362","wikidata":"https://www.wikidata.org/wiki/Q136822","display_name":"Higher education","level":2,"score":0.2849000096321106},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2831000089645386},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.2818000018596649},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26010000705718994}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.54005/geneltip.1958245","doi":"https://doi.org/10.54005/geneltip.1958245","is_oa":true,"landing_page_url":"https://doi.org/10.54005/geneltip.1958245","pdf_url":null,"source":{"id":"https://openalex.org/S4210207413","display_name":"Genel T\u0131p Dergisi","issn_l":"1301-191X","issn":["1301-191X","2602-3741"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj","erih-plus","tr-dizin"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Genel T\u0131p Dergisi","raw_type":"journal-article"},{"id":"pmh:oai:dergipark.org.tr:article/1958245","doi":null,"is_oa":true,"landing_page_url":"https://izlik.org/JA76XE49XA","pdf_url":null,"source":{"id":"https://openalex.org/S4306401840","display_name":"DergiPark (Istanbul University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67581229","host_organization_name":"Istanbul University","host_organization_lineage":["https://openalex.org/I67581229"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Genel T\u0131p Dergisi, Vol. 36 No. 2026","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.54005/geneltip.1958245","doi":"https://doi.org/10.54005/geneltip.1958245","is_oa":true,"landing_page_url":"https://doi.org/10.54005/geneltip.1958245","pdf_url":null,"source":{"id":"https://openalex.org/S4210207413","display_name":"Genel T\u0131p Dergisi","issn_l":"1301-191X","issn":["1301-191X","2602-3741"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj","erih-plus","tr-dizin"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Genel T\u0131p Dergisi","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.9537000060081482,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"study_designs":[{"id":"https://openalex.org/study-designs/observational-study","display_name":"Observational Study"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2910165844","https://openalex.org/W3000239480","https://openalex.org/W3040111091","https://openalex.org/W3085537935","https://openalex.org/W3110169284","https://openalex.org/W3115041411","https://openalex.org/W3125633690","https://openalex.org/W3167994336","https://openalex.org/W3183372445","https://openalex.org/W3193549799","https://openalex.org/W3215623190","https://openalex.org/W4292583647","https://openalex.org/W4362692935","https://openalex.org/W4377289493","https://openalex.org/W4378233639","https://openalex.org/W4383618319","https://openalex.org/W4386162831","https://openalex.org/W4386255322","https://openalex.org/W4386306898","https://openalex.org/W4386958277","https://openalex.org/W4387454203","https://openalex.org/W4391232927","https://openalex.org/W4391644764","https://openalex.org/W4399037989","https://openalex.org/W4399900759","https://openalex.org/W4400858405","https://openalex.org/W4401069620","https://openalex.org/W4407319547","https://openalex.org/W4408690581","https://openalex.org/W4412954252","https://openalex.org/W4413901227","https://openalex.org/W4414068180","https://openalex.org/W4415298161"],"related_works":["https://openalex.org/W4412071211","https://openalex.org/W4415983748","https://openalex.org/W7118723186","https://openalex.org/W4367856213","https://openalex.org/W7160773961","https://openalex.org/W7154722140","https://openalex.org/W4415298161","https://openalex.org/W4393202435","https://openalex.org/W7202284535","https://openalex.org/W7212252574"],"abstract_inverted_index":{"Aim:":[0],"Artificial":[1],"intelligence":[2],"(AI)":[3],"is":[4,197],"fundamentally":[5],"transforming":[6],"cardiovascular":[7,67,195],"care,":[8],"but":[9],"patient":[10,89],"trust":[11,34,107,125,134],"remains":[12],"a":[13,102,198],"primary":[14],"barrier":[15],"to":[16,30,43,83,95,207],"clinical":[17,37],"integration.":[18],"This":[19],"study":[20],"investigates":[21],"the":[22,129,188,227,231,236],"\u201cAI":[23],"Literacy":[24,131],"Paradox\u201d":[25],"among":[26],"digital-savvy":[27],"early":[28],"adopters":[29],"identify":[31,84],"predictors":[32],"of":[33,106,114,124,230,242],"across":[35,65],"varied":[36],"scenarios,":[38,157],"ranging":[39],"from":[40],"routine":[41],"monitoring":[42],"critical":[44,208],"decisions.Materials":[45],"and":[46,74,91,143,165,239],"Methods:":[47],"A":[48],"cross-sectional":[49],"survey":[50],"was":[51,63,101],"conducted":[52],"with":[53,120,145,158,181],"254":[54],"technologically":[55],"proficient":[56],"participants":[57],"(mean":[58],"age:":[59],"39.7":[60],"years).":[61],"Trust":[62,191],"evaluated":[64],"11":[66],"scenarios":[68,196],"involving":[69],"medication":[70,163],"management,":[71],"emergency":[72],"triage,":[73],"diagnostic":[75,173],"conflicts.":[76,174],"Statistical":[77],"analyses":[78],"included":[79],"binary":[80],"logistic":[81],"regression":[82],"predictors,":[85],"K-means":[86],"clustering":[87],"for":[88,139],"segmentation,":[90],"Mann\u2013Whitney":[92],"U":[93],"tests":[94],"evaluate":[96],"algorithm":[97,153],"aversion.Results:":[98],"AI":[99,130,171,193,218],"knowledge":[100],"strong":[103],"positive":[104],"predictor":[105],"(odds":[108],"ratio":[109],"[OR]:":[110],"3.522).":[111],"However,":[112],"holders":[113],"graduate":[115],"degrees":[116],"exhibited":[117],"\u201cinformed":[118],"skepticism,\u201d":[119],"66%":[121],"lower":[122],"odds":[123],"(OR:":[126,141,148],"0.340),":[127],"illustrating":[128],"Paradox.":[132],"Significant":[133],"gaps":[135],"were":[136,179],"also":[137],"identified":[138],"women":[140],"0.610)":[142],"patients":[144],"chronic":[146],"illnesses":[147],"0.563).":[149],"Participants":[150],"demonstrated":[151],"clear":[152],"aversion":[154],"in":[155,172,192,194],"high-stakes":[156],"over":[159,170],"92%":[160],"preferring":[161],"physician-led":[162],"management":[164],"87.4%":[166],"prioritizing":[167],"physician":[168],"judgment":[169],"Four":[175],"distinct":[176],"user":[177,244],"segments":[178],"identified,":[180],"\u201cOlder":[182],"Educated":[183],"Female":[184],"Neutrals\u201d":[185],"(53.5%)":[186],"forming":[187],"largest":[189],"group.Conclusions:":[190],"multidimensional,":[199],"segment-specific":[200],"construct.":[201],"Higher":[202],"education":[203],"levels":[204],"often":[205],"lead":[206],"scrutiny":[209],"rather":[210],"than":[211],"blind":[212],"acceptance.":[213],"To":[214],"ensure":[215],"successful":[216],"adoption,":[217],"integration":[219],"must":[220],"prioritize":[221],"hybrid":[222],"\u201cphysician-in-the-loop\u201d":[223],"models":[224],"that":[225],"preserve":[226],"human-centric":[228],"nature":[229],"therapeutic":[232],"alliance":[233],"while":[234],"addressing":[235],"specific":[237],"privacy":[238],"safety":[240],"concerns":[241],"diverse":[243],"segments.":[245]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2026-10-31T00:00:00"}