{"id":"https://openalex.org/W4403171007","doi":"https://doi.org/10.1186/s12880-024-01442-x","title":"Clinic,\u00a0CT radiomics, and deep learning combined model for the prediction of invasive pulmonary aspergillosis","display_name":"Clinic,\u00a0CT radiomics, and deep learning combined model for the prediction of invasive pulmonary aspergillosis","publication_year":2024,"publication_date":"2024-10-07","ids":{"openalex":"https://openalex.org/W4403171007","doi":"https://doi.org/10.1186/s12880-024-01442-x","pmid":"https://pubmed.ncbi.nlm.nih.gov/39375609"},"language":"en","primary_location":{"id":"doi:10.1186/s12880-024-01442-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-024-01442-x","pdf_url":"https://bmcmedimaging.biomedcentral.com/counter/pdf/10.1186/s12880-024-01442-x","source":{"id":"https://openalex.org/S6505649","display_name":"BMC Medical Imaging","issn_l":"1471-2342","issn":["1471-2342"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcmedimaging.biomedcentral.com/counter/pdf/10.1186/s12880-024-01442-x","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101643165","display_name":"Kaixiang Zhang","orcid":"https://orcid.org/0000-0002-4361-0955"},"institutions":[{"id":"https://openalex.org/I176834541","display_name":"Guangdong Medical College","ror":"https://ror.org/04k5rxe29","country_code":"CN","type":"education","lineage":["https://openalex.org/I176834541"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaixiang Zhang","raw_affiliation_strings":["First Clinical Medical College of Guangdong Medical University, No. 2 Wenming East Road, Xiashan District, Zhanjiang, 524023, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"First Clinical Medical College of Guangdong Medical University, No. 2 Wenming East Road, Xiashan District, Zhanjiang, 524023, Guangdong, China","institution_ids":["https://openalex.org/I176834541"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086813410","display_name":"Guoxin Zhao","orcid":"https://orcid.org/0000-0001-5471-8761"},"institutions":[{"id":"https://openalex.org/I176834541","display_name":"Guangdong Medical College","ror":"https://ror.org/04k5rxe29","country_code":"CN","type":"education","lineage":["https://openalex.org/I176834541"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoxin Zhao","raw_affiliation_strings":["First Clinical Medical College of Guangdong Medical University, No. 2 Wenming East Road, Xiashan District, Zhanjiang, 524023, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"First Clinical Medical College of Guangdong Medical University, No. 2 Wenming East Road, Xiashan District, Zhanjiang, 524023, Guangdong, China","institution_ids":["https://openalex.org/I176834541"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100684117","display_name":"Yinghui Liu","orcid":"https://orcid.org/0000-0001-9746-6066"},"institutions":[{"id":"https://openalex.org/I176834541","display_name":"Guangdong Medical College","ror":"https://ror.org/04k5rxe29","country_code":"CN","type":"education","lineage":["https://openalex.org/I176834541"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinghui Liu","raw_affiliation_strings":["First Clinical Medical College of Guangdong Medical University, No. 2 Wenming East Road, Xiashan District, Zhanjiang, 524023, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"First Clinical Medical College of Guangdong Medical University, No. 2 Wenming East Road, Xiashan District, Zhanjiang, 524023, Guangdong, China","institution_ids":["https://openalex.org/I176834541"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001533747","display_name":"Yongbin Huang","orcid":"https://orcid.org/0009-0001-3979-9396"},"institutions":[{"id":"https://openalex.org/I176834541","display_name":"Guangdong Medical College","ror":"https://ror.org/04k5rxe29","country_code":"CN","type":"education","lineage":["https://openalex.org/I176834541"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongbin Huang","raw_affiliation_strings":["Afffliated Hospital of Guangdong Medical University, No. 57 Renmin Avenue South, Xiashan District, Zhanjiang, 524001, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Afffliated Hospital of Guangdong Medical University, No. 57 Renmin Avenue South, Xiashan District, Zhanjiang, 524001, Guangdong, China","institution_ids":["https://openalex.org/I176834541"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100324363","display_name":"Jie Long","orcid":"https://orcid.org/0000-0002-2681-1202"},"institutions":[{"id":"https://openalex.org/I176834541","display_name":"Guangdong Medical College","ror":"https://ror.org/04k5rxe29","country_code":"CN","type":"education","lineage":["https://openalex.org/I176834541"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Long","raw_affiliation_strings":["Afffliated Hospital of Guangdong Medical University, No. 57 Renmin Avenue South, Xiashan District, Zhanjiang, 524001, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Afffliated Hospital of Guangdong Medical University, No. 57 Renmin Avenue South, Xiashan District, Zhanjiang, 524001, Guangdong, China","institution_ids":["https://openalex.org/I176834541"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100369067","display_name":"Ning Li","orcid":"https://orcid.org/0000-0002-9789-1633"},"institutions":[{"id":"https://openalex.org/I176834541","display_name":"Guangdong Medical College","ror":"https://ror.org/04k5rxe29","country_code":"CN","type":"education","lineage":["https://openalex.org/I176834541"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Li","raw_affiliation_strings":["Afffliated Hospital of Guangdong Medical University, No. 57 Renmin Avenue South, Xiashan District, Zhanjiang, 524001, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Afffliated Hospital of Guangdong Medical University, No. 57 Renmin Avenue South, Xiashan District, Zhanjiang, 524001, Guangdong, China","institution_ids":["https://openalex.org/I176834541"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111307183","display_name":"Huangze Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I176834541","display_name":"Guangdong Medical College","ror":"https://ror.org/04k5rxe29","country_code":"CN","type":"education","lineage":["https://openalex.org/I176834541"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huangze Yan","raw_affiliation_strings":["First Clinical Medical College of Guangdong Medical University, No. 2 Wenming East Road, Xiashan District, Zhanjiang, 524023, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"First Clinical Medical College of Guangdong Medical University, No. 2 Wenming East Road, Xiashan District, Zhanjiang, 524023, Guangdong, China","institution_ids":["https://openalex.org/I176834541"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058770067","display_name":"Xiuzhu Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I129708740","display_name":"Fujian Medical University","ror":"https://ror.org/050s6ns64","country_code":"CN","type":"education","lineage":["https://openalex.org/I129708740"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuzhu Zhang","raw_affiliation_strings":["School of Clinical Medicine, Fujian Province, Fujian Medical University, No.1 Xuefu North Road, Shangshang Town, Minhou County, Fuzhou City, 350122, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Clinical Medicine, Fujian Province, Fujian Medical University, No.1 Xuefu North Road, Shangshang Town, Minhou County, Fuzhou City, 350122, China","institution_ids":["https://openalex.org/I129708740"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5098920307","display_name":"Jingzhi Ma","orcid":"https://orcid.org/0009-0003-9367-9082"},"institutions":[{"id":"https://openalex.org/I176834541","display_name":"Guangdong Medical College","ror":"https://ror.org/04k5rxe29","country_code":"CN","type":"education","lineage":["https://openalex.org/I176834541"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingzhi Ma","raw_affiliation_strings":["Afffliated Hospital of Guangdong Medical University, No. 57 Renmin Avenue South, Xiashan District, Zhanjiang, 524001, Guangdong, China. 13824849482@163.com","Afffliated Hospital of Guangdong Medical University, No. 57 Renmin Avenue South, Xiashan District, Zhanjiang, 524001, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Afffliated Hospital of Guangdong Medical University, No. 57 Renmin Avenue South, Xiashan District, Zhanjiang, 524001, Guangdong, China. 13824849482@163.com","institution_ids":["https://openalex.org/I176834541"]},{"raw_affiliation_string":"Afffliated Hospital of Guangdong Medical University, No. 57 Renmin Avenue South, Xiashan District, Zhanjiang, 524001, Guangdong, China","institution_ids":["https://openalex.org/I176834541"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107843117","display_name":"Yuming Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I176834541","display_name":"Guangdong Medical College","ror":"https://ror.org/04k5rxe29","country_code":"CN","type":"education","lineage":["https://openalex.org/I176834541"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuming Zhang","raw_affiliation_strings":["Afffliated Hospital of Guangdong Medical University, No. 57 Renmin Avenue South, Xiashan District, Zhanjiang, 524001, Guangdong, China. ymzhang@gdmu.edu.cn","Afffliated Hospital of Guangdong Medical University, No. 57 Renmin Avenue South, Xiashan District, Zhanjiang, 524001, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Afffliated Hospital of Guangdong Medical University, No. 57 Renmin Avenue South, Xiashan District, Zhanjiang, 524001, Guangdong, China. ymzhang@gdmu.edu.cn","institution_ids":["https://openalex.org/I176834541"]},{"raw_affiliation_string":"Afffliated Hospital of Guangdong Medical University, No. 57 Renmin Avenue South, Xiashan District, Zhanjiang, 524001, Guangdong, China","institution_ids":["https://openalex.org/I176834541"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5098920307","https://openalex.org/A5107843117"],"corresponding_institution_ids":["https://openalex.org/I176834541"],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":3.3876,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.92826336,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"24","issue":"1","first_page":"264","last_page":"264"},"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":0.7008000016212463,"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":0.7008000016212463,"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/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.12919999659061432,"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"}},{"id":"https://openalex.org/T10870","display_name":"Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis","score":0.06449999660253525,"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/radiomics","display_name":"Radiomics","score":0.8898900151252747},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6326044797897339},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5254858136177063},{"id":"https://openalex.org/keywords/pulmonary-aspergillosis","display_name":"Pulmonary aspergillosis","score":0.5146694779396057},{"id":"https://openalex.org/keywords/computed-tomography","display_name":"Computed tomography","score":0.5137894749641418},{"id":"https://openalex.org/keywords/aspergillosis","display_name":"Aspergillosis","score":0.5037183165550232},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47477957606315613},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.40317508578300476},{"id":"https://openalex.org/keywords/medical-physics","display_name":"Medical physics","score":0.39525386691093445},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.39114677906036377}],"concepts":[{"id":"https://openalex.org/C2778559731","wikidata":"https://www.wikidata.org/wiki/Q23808793","display_name":"Radiomics","level":2,"score":0.8898900151252747},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6326044797897339},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5254858136177063},{"id":"https://openalex.org/C2910935011","wikidata":"https://www.wikidata.org/wiki/Q259626","display_name":"Pulmonary aspergillosis","level":3,"score":0.5146694779396057},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.5137894749641418},{"id":"https://openalex.org/C2776391196","wikidata":"https://www.wikidata.org/wiki/Q259626","display_name":"Aspergillosis","level":2,"score":0.5037183165550232},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47477957606315613},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.40317508578300476},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.39525386691093445},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.39114677906036377},{"id":"https://openalex.org/C203014093","wikidata":"https://www.wikidata.org/wiki/Q101929","display_name":"Immunology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000097188","descriptor_name":"Radiomics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000097188","descriptor_name":"Radiomics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000097188","descriptor_name":"Radiomics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000097188","descriptor_name":"Radiomics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055744","descriptor_name":"Invasive Pulmonary Aspergillosis","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D055744","descriptor_name":"Invasive Pulmonary Aspergillosis","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D055744","descriptor_name":"Invasive Pulmonary Aspergillosis","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D055744","descriptor_name":"Invasive Pulmonary Aspergillosis","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12880-024-01442-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-024-01442-x","pdf_url":"https://bmcmedimaging.biomedcentral.com/counter/pdf/10.1186/s12880-024-01442-x","source":{"id":"https://openalex.org/S6505649","display_name":"BMC Medical Imaging","issn_l":"1471-2342","issn":["1471-2342"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Imaging","raw_type":"journal-article"},{"id":"pmid:39375609","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39375609","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":"BMC medical imaging","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11457327","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11457327","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11457327/pdf/12880_2024_Article_1442.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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Med Imaging","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:34e0fb2367ca477c9dadf1ca838cb3c8","is_oa":true,"landing_page_url":"https://doaj.org/article/34e0fb2367ca477c9dadf1ca838cb3c8","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":"BMC Medical Imaging, Vol 24, Iss 1, Pp 1-14 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s12880-024-01442-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-024-01442-x","pdf_url":"https://bmcmedimaging.biomedcentral.com/counter/pdf/10.1186/s12880-024-01442-x","source":{"id":"https://openalex.org/S6505649","display_name":"BMC Medical Imaging","issn_l":"1471-2342","issn":["1471-2342"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Imaging","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.8399999737739563,"display_name":"Zero hunger"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4403171007.pdf"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W2024871061","https://openalex.org/W2039458277","https://openalex.org/W2046655138","https://openalex.org/W2140837299","https://openalex.org/W2311711921","https://openalex.org/W2399447935","https://openalex.org/W2470291098","https://openalex.org/W2767128594","https://openalex.org/W2793884909","https://openalex.org/W2802644000","https://openalex.org/W2919115771","https://openalex.org/W2972165905","https://openalex.org/W3007013198","https://openalex.org/W3034022457","https://openalex.org/W3135178889","https://openalex.org/W3177525997","https://openalex.org/W3191603129","https://openalex.org/W3205060460","https://openalex.org/W4200237499","https://openalex.org/W4200357651","https://openalex.org/W4213229413","https://openalex.org/W4292566903","https://openalex.org/W4300003561","https://openalex.org/W4306946958","https://openalex.org/W4307091811","https://openalex.org/W4308015678","https://openalex.org/W4310953823","https://openalex.org/W4381309914","https://openalex.org/W4390111335","https://openalex.org/W4392806747","https://openalex.org/W4394913362"],"related_works":["https://openalex.org/W2395271158","https://openalex.org/W2315492242","https://openalex.org/W2968795681","https://openalex.org/W4285330908","https://openalex.org/W2230307644","https://openalex.org/W2008670006","https://openalex.org/W2319928644","https://openalex.org/W1565874419","https://openalex.org/W246530177","https://openalex.org/W2163738579"],"abstract_inverted_index":{"BACKGROUND:":[0],"Invasive":[1],"pulmonary":[2],"aspergillosis":[3],"(IPA)":[4],"is":[5],"a":[6,28,50,62,84],"serious":[7],"fungal":[8],"infection.":[9],"However,":[10],"current":[11],"diagnostic":[12],"methods":[13],"have":[14],"limitations.":[15],"The":[16,89,111,220,240,266],"purpose":[17],"of":[18,32,40,44,64,130,188,222,242,288,296,313],"this":[19],"study":[20],"was":[21,87,143,149,163,235,252,261,292,304],"to":[22,26,101,184,212,341],"use":[23],"artificial":[24],"intelligence":[25],"achieve":[27],"more":[29],"accurate":[30],"diagnosis":[31],"IPA.":[33,193,218,329],"METHODS:":[34],"Totally":[35],"263":[36],"patients":[37],"(148":[38],"cases":[39,43],"IPA,":[41],"115":[42],"non-IPA)":[45],"were":[46,72,93,115,173,182,210],"retrospectively":[47],"enrolled":[48],"from":[49],"single":[51],"institution":[52],"and":[53,58,77,95,108,117,136,159,175,232,237,245,254,263,334],"randomly":[54],"divided":[55],"into":[56],"training":[57,231,250],"test":[59,233,259,322],"sets":[60,234],"at":[61],"ratio":[63],"7:3.":[65],"Clinic-radiological":[66],"independent":[67,154],"risk":[68,155],"factors":[69],"for":[70,217,226],"IPA":[71,228,343],"screened":[73,96,118],"using":[74,119],"univariate":[75],"analysis":[76],"multivariate":[78],"logistic":[79],"regression":[80],"analysis,":[81],"after":[82],"which":[83,314],"clinic-radiological":[85,153,224],"model":[86,142,148,190,199,225,268,291,303,337],"constructed.":[88,144],"optimal":[90,112],"radiomics":[91,104,109],"features":[92,114],"extracted":[94,116],"based":[97,151,195],"on":[98,152,196,200,306],"CT":[99,332],"images":[100],"construct":[102],"the":[103,128,131,140,146,157,160,166,176,179,186,197,201,214,223,230,243,249,258,283,285,289,301,321],"label":[105,133],"score":[106,134],"(Rad-score)":[107],"model.":[110,138],"DL":[113,132,137,335],"four":[120,204,307],"pre-trained":[121],"convolutional":[122],"neural":[123],"networks,":[124],"respectively,":[125],"followed":[126],"by":[127],"construction":[129],"(DL-score)":[135],"Then,":[139,300],"radiomics-DL":[141,244],"Finally,":[145],"combined":[147,246,267,290,302,336],"constructed":[150,211],"factors,":[156],"Rad-score,":[158],"DL-score.":[161],"LR":[162,202],"adopted":[164],"as":[165,282],"classifier.":[167],"Receiver":[168],"operating":[169],"characteristic":[170],"(ROC)":[171],"curves":[172],"drawn,":[174],"areas":[177],"under":[178],"curve":[180],"(AUC)":[181],"calculated":[183],"evaluate":[185,213],"efficacy":[187],"each":[189],"in":[191,229,248,257,320,327],"predicting":[192,227,328],"Additionally,":[194],"best-performing":[198],"classifier,":[203],"other":[205,275,298,308],"machine":[206,309],"learning":[207,310],"(ML)":[208],"classifiers":[209],"predictive":[215,271],"value":[216],"RESULTS:":[219],"AUC":[221,241,316],"0.845":[236],"0.765,":[238],"respectively.":[239,265],"models":[247],"set":[251,260],"0.871":[253],"0.932,":[255],"while":[256],"0.851":[262],"0.881,":[264],"showed":[269,278],"better":[270],"performance":[272,326],"than":[273,294],"all":[274,297,312],"models.":[276,299],"DCA":[277],"that":[279,295],"taking":[280],"0.00-1.00":[281],"threshold,":[284],"clinical":[286],"benefit":[287],"higher":[293],"trained":[305],"classifiers,":[311],"achieved":[315],"values":[317],"above":[318],"0.80":[319],"set,":[323],"showing":[324],"good":[325],"CONCLUSION:":[330],"Clinic,":[331],"radiomics,":[333],"could":[338],"be":[339],"used":[340],"predict":[342],"effectively.":[344]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":6}],"updated_date":"2026-06-17T06:14:20.161405","created_date":"2025-10-10T00:00:00"}