{"id":"https://openalex.org/W4306147307","doi":"https://doi.org/10.1093/jamia/ocac179","title":"How does the artificial intelligence-based image-assisted technique help physicians in diagnosis of pulmonary adenocarcinoma? A randomized controlled experiment of multicenter physicians in China","display_name":"How does the artificial intelligence-based image-assisted technique help physicians in diagnosis of pulmonary adenocarcinoma? A randomized controlled experiment of multicenter physicians in China","publication_year":2022,"publication_date":"2022-10-13","ids":{"openalex":"https://openalex.org/W4306147307","doi":"https://doi.org/10.1093/jamia/ocac179","pmid":"https://pubmed.ncbi.nlm.nih.gov/36228127"},"language":"en","primary_location":{"id":"doi:10.1093/jamia/ocac179","is_oa":false,"landing_page_url":"https://doi.org/10.1093/jamia/ocac179","pdf_url":null,"source":{"id":"https://openalex.org/S129839026","display_name":"Journal of the American Medical Informatics Association","issn_l":"1067-5027","issn":["1067-5027","1527-974X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Medical Informatics Association","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9667181","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001122754","display_name":"Jiaoyang Li","orcid":"https://orcid.org/0000-0002-5292-9001"},"institutions":[{"id":"https://openalex.org/I204831749","display_name":"Southwestern University of Finance and Economics","ror":"https://ror.org/04ewct822","country_code":"CN","type":"education","lineage":["https://openalex.org/I204831749"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaoyang Li","raw_affiliation_strings":["School of Business Administration, Faculty of Business Administration, Southwestern University of Finance and Economics , Chengdu 611130, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Business Administration, Faculty of Business Administration, Southwestern University of Finance and Economics , Chengdu 611130, China","institution_ids":["https://openalex.org/I204831749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090557039","display_name":"Lingxiao Zhou","orcid":"https://orcid.org/0000-0002-2004-0929"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingxiao Zhou","raw_affiliation_strings":["Institute of Microscale Optoelectronics, Shenzhen University , Shenzhen 518060, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Microscale Optoelectronics, Shenzhen University , Shenzhen 518060, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103063852","display_name":"Yi Zhan","orcid":"https://orcid.org/0000-0002-0520-0998"},"institutions":[{"id":"https://openalex.org/I4210106542","display_name":"Shanghai Public Health Clinical Center","ror":"https://ror.org/01nnwyz44","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210106542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zhan","raw_affiliation_strings":["Department of Radiology, Shanghai Public Health Clinical Center, Fudan University , Shanghai 201508, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Shanghai Public Health Clinical Center, Fudan University , Shanghai 201508, China","institution_ids":["https://openalex.org/I4210106542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101434141","display_name":"Haifeng Xu","orcid":"https://orcid.org/0000-0001-6371-4906"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haifeng Xu","raw_affiliation_strings":["Antai College of Economics and Management, Shanghai Jiao Tong University , Shanghai 200030, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Antai College of Economics and Management, Shanghai Jiao Tong University , Shanghai 200030, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100439612","display_name":"Cheng Zhang","orcid":"https://orcid.org/0000-0002-0024-7324"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Cheng Zhang","raw_affiliation_strings":["School of Management, Fudan University , Shanghai 200433, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Management, Fudan University , Shanghai 200433, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009005728","display_name":"Fei Shan","orcid":"https://orcid.org/0000-0001-7519-2172"},"institutions":[{"id":"https://openalex.org/I4210106542","display_name":"Shanghai Public Health Clinical Center","ror":"https://ror.org/01nnwyz44","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210106542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Shan","raw_affiliation_strings":["Department of Radiology, Shanghai Public Health Clinical Center, Fudan University , Shanghai 201508, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Shanghai Public Health Clinical Center, Fudan University , Shanghai 201508, China","institution_ids":["https://openalex.org/I4210106542"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100349606","display_name":"Lei Liu","orcid":"https://orcid.org/0000-0002-9995-9080"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Liu","raw_affiliation_strings":["Intelligent Medicine Institute, Fudan University , Shanghai 200030, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Medicine Institute, Fudan University , Shanghai 200030, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100439612"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":{"value":3967,"currency":"USD","value_usd":3967},"apc_paid":null,"fwci":3.468,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.93451514,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"29","issue":"12","first_page":"2041","last_page":"2049"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.296999990940094,"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":0.296999990940094,"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":0.25859999656677246,"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/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.11879999935626984,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/medicine","display_name":"Medicine","score":0.7799765467643738},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.5815472602844238},{"id":"https://openalex.org/keywords/randomized-controlled-trial","display_name":"Randomized controlled trial","score":0.51804518699646},{"id":"https://openalex.org/keywords/diagnostic-accuracy","display_name":"Diagnostic accuracy","score":0.487836629152298},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.25392767786979675},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.25153762102127075}],"concepts":[{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.7799765467643738},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.5815472602844238},{"id":"https://openalex.org/C168563851","wikidata":"https://www.wikidata.org/wiki/Q1436668","display_name":"Randomized controlled trial","level":2,"score":0.51804518699646},{"id":"https://openalex.org/C3020132585","wikidata":"https://www.wikidata.org/wiki/Q2671652","display_name":"Diagnostic accuracy","level":2,"score":0.487836629152298},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.25392767786979675},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.25153762102127075}],"mesh":[{"descriptor_ui":"D000072177","descriptor_name":"Radiologists","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000072177","descriptor_name":"Radiologists","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000072177","descriptor_name":"Radiologists","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077192","descriptor_name":"Adenocarcinoma of Lung","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D000077192","descriptor_name":"Adenocarcinoma of Lung","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D000077192","descriptor_name":"Adenocarcinoma of Lung","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","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":"D006801","descriptor_name":"Humans","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":"D008175","descriptor_name":"Lung Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D008175","descriptor_name":"Lung Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D008175","descriptor_name":"Lung Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1093/jamia/ocac179","is_oa":false,"landing_page_url":"https://doi.org/10.1093/jamia/ocac179","pdf_url":null,"source":{"id":"https://openalex.org/S129839026","display_name":"Journal of the American Medical Informatics Association","issn_l":"1067-5027","issn":["1067-5027","1527-974X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Medical Informatics Association","raw_type":"journal-article"},{"id":"pmid:36228127","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36228127","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":"Journal of the American Medical Informatics Association : JAMIA","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:9667181","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9667181","pdf_url":null,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Am Med Inform Assoc","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:9667181","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9667181","pdf_url":null,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Am Med Inform Assoc","raw_type":"Text"},"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G1993787947","display_name":null,"funder_award_id":"71871065","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4097289496","display_name":null,"funder_award_id":"72101211","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5043464613","display_name":null,"funder_award_id":"91846302","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8039485623","display_name":null,"funder_award_id":"81501294","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1530661394","https://openalex.org/W1969255955","https://openalex.org/W1975323297","https://openalex.org/W1977972378","https://openalex.org/W2010898438","https://openalex.org/W2023644124","https://openalex.org/W2061413008","https://openalex.org/W2165839911","https://openalex.org/W2281090488","https://openalex.org/W2325332048","https://openalex.org/W2512902140","https://openalex.org/W2888649442","https://openalex.org/W2937196653","https://openalex.org/W2948864380","https://openalex.org/W2963852062","https://openalex.org/W2965520043","https://openalex.org/W2966665347","https://openalex.org/W2994898777","https://openalex.org/W3005745869","https://openalex.org/W3007464329","https://openalex.org/W3013681994","https://openalex.org/W3015487562","https://openalex.org/W3017451406","https://openalex.org/W3031915703","https://openalex.org/W3036298167","https://openalex.org/W3048765867","https://openalex.org/W3082837871","https://openalex.org/W3084209621","https://openalex.org/W3084346490","https://openalex.org/W3120095511","https://openalex.org/W3123377937","https://openalex.org/W3128621548","https://openalex.org/W3134138028","https://openalex.org/W4206218075","https://openalex.org/W4283519332","https://openalex.org/W6631704615"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W3031052312","https://openalex.org/W3032375762","https://openalex.org/W1995515455","https://openalex.org/W2080531066","https://openalex.org/W3108674512","https://openalex.org/W1506200166","https://openalex.org/W2048182022","https://openalex.org/W2604872355"],"abstract_inverted_index":{"OBJECTIVE:":[0],"Although":[1],"artificial":[2],"intelligence":[3],"(AI)":[4],"has":[5],"achieved":[6],"high":[7,187,196],"levels":[8,45,197],"of":[9,14,35,41,46,77,165,198,212,222],"accuracy":[10,183],"in":[11,23,148],"the":[12,33,38,115,163,213,220],"diagnosis":[13,61,242],"various":[15],"diseases,":[16],"its":[17],"impact":[18,34,221],"on":[19,37,224],"physicians'":[20,124,141,154,225,238],"decision-making":[21,226],"performance":[22,40],"clinical":[24,234],"practice":[25],"is":[26,210],"uncertain.":[27],"This":[28,208],"study":[29,209],"aims":[30],"to":[31,215],"assess":[32],"AI":[36,121,138,178,203,223],"diagnostic":[39,90,125,142,155,182],"physicians":[42,79,172,192,247],"with":[43,128,162,173,186,193,253],"differing":[44],"self-efficacy":[47,175,188,199],"under":[48,151,204,249],"working":[49,248],"conditions":[50],"involving":[51],"different":[52],"time":[53,68,72,131,136,152,170,205,235,250],"pressures.":[54],"MATERIALS":[55],"AND":[56],"METHODS:":[57],"A":[58],"2":[59,66,231],"(independent":[60],"vs":[62,70],"AI-assisted":[63,241],"diagnosis)":[64],"\u00d7":[65],"(no":[67],"pressure":[69,236,251],"2-minute":[71],"limit)":[73],"randomized":[74],"controlled":[75],"experiment":[76],"multicenter":[78],"was":[80,99],"conducted.":[81],"Participants":[82],"diagnosed":[83],"10":[84],"pulmonary":[85],"adenocarcinoma":[86],"cases":[87],"and":[88,93,108,157,195,237],"their":[89],"accuracy,":[91,126],"sensitivity,":[92],"specificity":[94,158],"were":[95],"evaluated.":[96],"Data":[97],"analysis":[98],"performed":[100],"using":[101],"multilevel":[102],"logistic":[103],"regression.":[104],"RESULTS:":[105],"One":[106],"hundred":[107],"four":[109],"radiologists":[110],"from":[111,177,202],"102":[112],"hospitals":[113],"completed":[114],"experiment.":[116],"The":[117],"results":[118],"reveal":[119],"(1)":[120],"greatly":[122],"increases":[123],"either":[127],"or":[129,252],"without":[130],"pressure;":[132],"(2)":[133],"when":[134,168],"no":[135,145,169],"pressure,":[137,153,171],"significantly":[139],"improves":[140],"sensitivity":[143,156],"but":[144,184],"significant":[146],"change":[147],"specificity,":[149],"while":[150],"are":[159],"both":[160,200],"improved":[161],"aid":[164],"AI;":[166],"(3)":[167],"low":[174,194,254],"benefit":[176,201],"assistance":[179],"thus":[180],"improving":[181],"those":[185],"do":[189],"not,":[190],"whereas":[191],"pressure.":[206],"DISCUSSION:":[207],"one":[211],"first":[214],"provide":[216],"real-world":[217],"evidence":[218],"regarding":[219],"performance,":[227],"taking":[228],"into":[229],"account":[230],"boundary":[232],"factors:":[233],"self-efficacy.":[239,255],"CONCLUSION:":[240],"should":[243],"be":[244],"prioritized":[245],"for":[246]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}