{"id":"https://openalex.org/W4389308331","doi":"https://doi.org/10.1186/s12938-023-01172-1","title":"Diagnostic test accuracy of machine learning algorithms for the detection intracranial hemorrhage: a systematic review and meta-analysis study","display_name":"Diagnostic test accuracy of machine learning algorithms for the detection intracranial hemorrhage: a systematic review and meta-analysis study","publication_year":2023,"publication_date":"2023-12-04","ids":{"openalex":"https://openalex.org/W4389308331","doi":"https://doi.org/10.1186/s12938-023-01172-1","pmid":"https://pubmed.ncbi.nlm.nih.gov/38049809","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/10694901"},"language":"en","primary_location":{"id":"doi:10.1186/s12938-023-01172-1","doi":"https://doi.org/10.1186/s12938-023-01172-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12938-023-01172-1","pdf_url":"https://biomedical-engineering-online.biomedcentral.com/counter/pdf/10.1186/s12938-023-01172-1","source":{"id":"https://openalex.org/S162176842","display_name":"BioMedical Engineering OnLine","issn_l":"1475-925X","issn":["1475-925X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-d","jufo-1","ki-jl-1","medline","norway-1","oarl","poland-70","russia-white-list-2","vabb-shw"],"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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BioMedical Engineering OnLine","raw_type":"journal-article"},"volume":null,"type":"review","is_traditional":true,"indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://biomedical-engineering-online.biomedcentral.com/counter/pdf/10.1186/s12938-023-01172-1","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093414462","display_name":"Masoud Maghami","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I119939603","display_name":"Ahvaz Jundishapur University of Medical Sciences","ror":"https://ror.org/01rws6r75","country_code":"IR","type":"education","lineage":["https://openalex.org/I119939603"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Masoud Maghami","raw_affiliation_strings":["Medical Doctor (MD), School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Medical Doctor (MD), School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran","institution_ids":["https://openalex.org/I119939603"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086465185","display_name":"Shahab Aldin Sattari","orcid":"https://orcid.org/0000-0002-4021-3153","observed_orcids":["https://orcid.org/0000-0002-4021-3153"]},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]},{"id":"https://openalex.org/I2799853436","display_name":"Johns Hopkins Medicine","ror":"https://ror.org/037zgn354","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2799853436"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shahab Aldin Sattari","raw_affiliation_strings":["Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948","https://openalex.org/I2799853436"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058049806","display_name":"Marziyeh Tahmasbi","orcid":"https://orcid.org/0000-0003-0797-5049","observed_orcids":["https://orcid.org/0000-0003-0797-5049"]},"institutions":[{"id":"https://openalex.org/I119939603","display_name":"Ahvaz Jundishapur University of Medical Sciences","ror":"https://ror.org/01rws6r75","country_code":"IR","type":"education","lineage":["https://openalex.org/I119939603"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Marziyeh Tahmasbi","raw_affiliation_strings":["Department of Medical Imaging and Radiation Sciences, School of Allied Medical Sciences, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medical Imaging and Radiation Sciences, School of Allied Medical Sciences, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran","institution_ids":["https://openalex.org/I119939603"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090304799","display_name":"Pegah Panahi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I119939603","display_name":"Ahvaz Jundishapur University of Medical Sciences","ror":"https://ror.org/01rws6r75","country_code":"IR","type":"education","lineage":["https://openalex.org/I119939603"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Pegah Panahi","raw_affiliation_strings":["Medical Doctor (MD), School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Medical Doctor (MD), School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran","institution_ids":["https://openalex.org/I119939603"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033135936","display_name":"Javad Mozafari","orcid":"https://orcid.org/0000-0002-8903-7138","observed_orcids":["https://orcid.org/0000-0002-8903-7138"]},"institutions":[{"id":"https://openalex.org/I119939603","display_name":"Ahvaz Jundishapur University of Medical Sciences","ror":"https://ror.org/01rws6r75","country_code":"IR","type":"education","lineage":["https://openalex.org/I119939603"]},{"id":"https://openalex.org/I4405267492","display_name":"EUREGIO-KLINIK Albert-Schweitzer-Stra\u00dfe GmbH","ror":"https://ror.org/02zzc9e25","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I4405267492"]}],"countries":["DE","IR"],"is_corresponding":false,"raw_author_name":"Javad Mozafari","raw_affiliation_strings":["Department of Emergency Medicine, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran","Department of Radiology, Resident (MD), EUREGIO-KLINIK Albert-Schweitzer-Stra\u00dfe GmbH, Nordhorn, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Emergency Medicine, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran","institution_ids":["https://openalex.org/I119939603"]},{"raw_affiliation_string":"Department of Radiology, Resident (MD), EUREGIO-KLINIK Albert-Schweitzer-Stra\u00dfe GmbH, Nordhorn, Germany","institution_ids":["https://openalex.org/I4405267492"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041688091","display_name":"Kiarash Shirbandi","orcid":"https://orcid.org/0000-0002-1055-6606","observed_orcids":["https://orcid.org/0000-0002-1055-6606"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Kiarash Shirbandi","raw_affiliation_strings":["Independent Medical Imaging Researcher, Tehran, Iran. Shirbandi.k@gmail.com","Independent Medical Imaging Researcher, Tehran, Iran"],"raw_orcid":"https://orcid.org/0000-0002-1055-6606","affiliations":[{"raw_affiliation_string":"Independent Medical Imaging Researcher, Tehran, Iran. Shirbandi.k@gmail.com","institution_ids":[]},{"raw_affiliation_string":"Independent Medical Imaging Researcher, Tehran, Iran","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5041688091"],"corresponding_institution_ids":[],"apc_list":{"value":2690,"currency":"USD","value_usd":2690},"apc_paid":{"value":2690,"currency":"USD","value_usd":2690},"fwci":1.3665,"has_fulltext":true,"cited_by_count":35,"citation_normalized_percentile":{"value":0.81663424,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":100},"biblio":{"volume":"22","issue":"1","first_page":"114","last_page":"114"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11763","display_name":"Intracerebral and Subarachnoid Hemorrhage Research","score":0.7993000149726868,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Clinical Neurology"},"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/T11763","display_name":"Intracerebral and Subarachnoid Hemorrhage Research","score":0.7993000149726868,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Clinical Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.07259999960660934,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.020999999716877937,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/intracranial-hemorrhage","display_name":"intracranial hemorrhage","score":0.9800000190734863},{"id":"https://openalex.org/keywords/machine-learning","display_name":"machine learning","score":0.8769999742507935},{"id":"https://openalex.org/keywords/computed-tomography","display_name":"computed tomography","score":0.7860000133514404},{"id":"https://openalex.org/keywords/automatic-detection","display_name":"automated detection","score":0.503000020980835},{"id":"https://openalex.org/keywords/diagnostic-accuracy","display_name":"diagnostic accuracy","score":0.8899999856948853},{"id":"https://openalex.org/keywords/resnet","display_name":"ResNet","score":0.8339999914169312},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.7059999704360962},{"id":"https://openalex.org/keywords/non-contrast-ct","display_name":"non-contrast CT","score":0.800000011920929},{"id":"https://openalex.org/keywords/sensitivity-and-specificity","display_name":"sensitivity and specificity","score":0.7390000224113464}],"concepts":[{"id":"https://openalex.org/C157481446","wikidata":"https://www.wikidata.org/wiki/Q5270351","display_name":"Diagnostic odds ratio","level":3,"score":0.9194808006286621},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.7377824187278748},{"id":"https://openalex.org/C2776478404","wikidata":"https://www.wikidata.org/wiki/Q1105187","display_name":"Cochrane Library","level":3,"score":0.7317121028900146},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.7291991710662842},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.7171540856361389},{"id":"https://openalex.org/C95190672","wikidata":"https://www.wikidata.org/wiki/Q815382","display_name":"Meta-analysis","level":2,"score":0.7138586044311523},{"id":"https://openalex.org/C167135981","wikidata":"https://www.wikidata.org/wiki/Q2146302","display_name":"Retrospective cohort study","level":2,"score":0.5458484292030334},{"id":"https://openalex.org/C40993552","wikidata":"https://www.wikidata.org/wiki/Q514654","display_name":"Gold standard (test)","level":2,"score":0.5379593372344971},{"id":"https://openalex.org/C144494922","wikidata":"https://www.wikidata.org/wiki/Q6547272","display_name":"Likelihood ratios in diagnostic testing","level":3,"score":0.4920923113822937},{"id":"https://openalex.org/C188816634","wikidata":"https://www.wikidata.org/wiki/Q2113324","display_name":"Prospective cohort study","level":2,"score":0.4813840687274933},{"id":"https://openalex.org/C3020132585","wikidata":"https://www.wikidata.org/wiki/Q2671652","display_name":"Diagnostic accuracy","level":2,"score":0.44472914934158325},{"id":"https://openalex.org/C2779473830","wikidata":"https://www.wikidata.org/wiki/Q1540899","display_name":"MEDLINE","level":2,"score":0.43718841671943665},{"id":"https://openalex.org/C156957248","wikidata":"https://www.wikidata.org/wiki/Q1862216","display_name":"Odds ratio","level":2,"score":0.4257675111293793},{"id":"https://openalex.org/C2781145037","wikidata":"https://www.wikidata.org/wiki/Q5011772","display_name":"CINAHL","level":3,"score":0.41749921441078186},{"id":"https://openalex.org/C189708586","wikidata":"https://www.wikidata.org/wiki/Q1504425","display_name":"Systematic review","level":3,"score":0.4118898808956146},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4093450903892517},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.36502355337142944},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.14824482798576355},{"id":"https://openalex.org/C27415008","wikidata":"https://www.wikidata.org/wiki/Q7256382","display_name":"Psychological intervention","level":2,"score":0.08612444996833801},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003955","descriptor_name":"Diagnostic Tests, Routine","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":"D011446","descriptor_name":"Prospective 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":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12938-023-01172-1","doi":"https://doi.org/10.1186/s12938-023-01172-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12938-023-01172-1","pdf_url":"https://biomedical-engineering-online.biomedcentral.com/counter/pdf/10.1186/s12938-023-01172-1","source":{"id":"https://openalex.org/S162176842","display_name":"BioMedical Engineering OnLine","issn_l":"1475-925X","issn":["1475-925X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-d","jufo-1","ki-jl-1","medline","norway-1","oarl","poland-70","russia-white-list-2","vabb-shw"],"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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BioMedical Engineering OnLine","raw_type":"journal-article"},{"id":"pmh:oai:pubmedcentral.nih.gov:10694901","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10694901","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10694901/pdf/12938_2023_Article_1172.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,"listed_in":[],"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Biomed Eng Online","raw_type":"Text"},{"id":"pmid:38049809","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38049809","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,"listed_in":[],"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":"Biomedical engineering online","raw_type":"Meta-Analysis"},{"id":"pmh:oai:doaj.org/article:778533ac6a814e5ca14146ec31057acd","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/778533ac6a814e5ca14146ec31057acd","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,"listed_in":[],"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":"BioMedical Engineering OnLine, Vol 22, Iss 1, Pp 1-23 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s12938-023-01172-1","doi":"https://doi.org/10.1186/s12938-023-01172-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12938-023-01172-1","pdf_url":"https://biomedical-engineering-online.biomedcentral.com/counter/pdf/10.1186/s12938-023-01172-1","source":{"id":"https://openalex.org/S162176842","display_name":"BioMedical Engineering OnLine","issn_l":"1475-925X","issn":["1475-925X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-d","jufo-1","ki-jl-1","medline","norway-1","oarl","poland-70","russia-white-list-2","vabb-shw"],"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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BioMedical Engineering OnLine","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.98580002784729,"id":"https://metadata.un.org/sdg/3"}],"study_designs":[{"display_name":"Systematic Review","id":"https://openalex.org/study-designs/systematic-review"},{"display_name":"Meta-Analysis","id":"https://openalex.org/study-designs/meta-analysis"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389308331.pdf","grobid_xml":"https://content.openalex.org/works/W4389308331.grobid-xml"},"referenced_works_count":67,"referenced_works":["https://openalex.org/W1965523766","https://openalex.org/W2036653122","https://openalex.org/W2058416353","https://openalex.org/W2073253107","https://openalex.org/W2080675410","https://openalex.org/W2130005339","https://openalex.org/W2240067561","https://openalex.org/W2583247392","https://openalex.org/W2766508408","https://openalex.org/W2766666652","https://openalex.org/W2782272089","https://openalex.org/W2785704959","https://openalex.org/W2787534237","https://openalex.org/W2795774310","https://openalex.org/W2803760365","https://openalex.org/W2883545264","https://openalex.org/W2896817483","https://openalex.org/W2899381700","https://openalex.org/W2905307056","https://openalex.org/W2923947498","https://openalex.org/W2934145981","https://openalex.org/W2943644689","https://openalex.org/W2963997241","https://openalex.org/W2976398475","https://openalex.org/W2981941315","https://openalex.org/W2995143015","https://openalex.org/W3008287668","https://openalex.org/W3008956992","https://openalex.org/W3013681994","https://openalex.org/W3015015331","https://openalex.org/W3038415642","https://openalex.org/W3083622693","https://openalex.org/W3100962952","https://openalex.org/W3108582022","https://openalex.org/W3118235341","https://openalex.org/W3127841358","https://openalex.org/W3129710645","https://openalex.org/W3131722778","https://openalex.org/W3134385368","https://openalex.org/W3135028703","https://openalex.org/W3150367798","https://openalex.org/W3158731037","https://openalex.org/W3174061161","https://openalex.org/W3188199774","https://openalex.org/W3192800436","https://openalex.org/W3202984962","https://openalex.org/W3213153722","https://openalex.org/W3214863095","https://openalex.org/W3215165644","https://openalex.org/W3217170893","https://openalex.org/W4200473996","https://openalex.org/W4206723468","https://openalex.org/W4210261121","https://openalex.org/W4210823941","https://openalex.org/W4210844077","https://openalex.org/W4210943902","https://openalex.org/W4224112279","https://openalex.org/W4229009575","https://openalex.org/W4281641862","https://openalex.org/W4281745096","https://openalex.org/W4281804856","https://openalex.org/W4291196966","https://openalex.org/W4312112335","https://openalex.org/W4315787003","https://openalex.org/W4319598202","https://openalex.org/W4323669664","https://openalex.org/W4366437247"],"related_works":["https://openalex.org/W7131221783","https://openalex.org/W6902168235","https://openalex.org/W7164146881","https://openalex.org/W4408998111","https://openalex.org/W4416103058","https://openalex.org/W7151592884","https://openalex.org/W2795774310","https://openalex.org/W7166334560","https://openalex.org/W7133558033","https://openalex.org/W4406962682"],"abstract_inverted_index":{"Abstract":[0],"Background":[1],"This":[2,235],"systematic":[3,35],"review":[4],"and":[5,56,72,106,124,129,132,208],"meta-analysis":[6,236],"were":[7,37,80,83,114,136,186,213],"conducted":[8,38],"to":[9],"objectively":[10],"evaluate":[11],"the":[12,19,62,76,86,97,121,189,192,201,250],"evidence":[13],"of":[14,22,42,65,144,191,239],"machine":[15],"learning":[16],"(ML)":[17],"in":[18,39,256,261,271],"patient":[20],"diagnosis":[21],"Intracranial":[23],"Hemorrhage":[24],"(ICH)":[25],"on":[26,93,237],"computed":[27],"tomography":[28],"(CT)":[29],"scans.":[30],"Methods":[31],"Until":[32],"May":[33],"2023,":[34],"searches":[36],"ISI":[40],"Web":[41],"Science,":[43],"PubMed,":[44],"Scopus,":[45],"Cochrane":[46],"Library,":[47,51],"IEEE":[48],"Xplore":[49],"Digital":[50],"CINAHL,":[52],"Science":[53],"Direct,":[54],"PROSPERO,":[55],"EMBASE":[57],"for":[58,85,188,203,242],"studies":[59,135,146],"that":[60],"evaluated":[61],"diagnostic":[63,172],"precision":[64],"ML":[66,90,240,251],"model-assisted":[67],"ICH":[68,74,244,262],"detection.":[69],"Patients":[70],"with":[71,147,226],"without":[73],"as":[75,96],"target":[77],"condition":[78],"who":[79],"receiving":[81],"CT-Scan":[82],"eligible":[84],"research,":[87],"which":[88],"used":[89],"algorithms":[91,225,241],"based":[92],"radiologists'":[94],"reports":[95],"gold":[98],"reference":[99],"standard.":[100],"For":[101],"meta-analysis,":[102],"pooled":[103,149,160,171,221],"sensitivities,":[104],"specificities,":[105],"a":[107,148],"summary":[108],"receiver":[109],"operating":[110],"characteristics":[111],"curve":[112],"(SROC)":[113],"used.":[115],"Results":[116],"At":[117],"last,":[118],"after":[119],"screening":[120],"title,":[122],"abstract,":[123],"full":[125],"paper,":[126],"twenty-six":[127],"retrospective":[128,145],"three":[130],"prospective,":[131],"two":[133],"retrospective/prospective":[134],"included.":[137],"The":[138,159,170,216],"overall":[139],"(Diagnostic":[140],"Test":[141],"Accuracy)":[142],"DTA":[143,238],"sensitivity":[150,204],"was":[151,162,176,267],"0.917":[152],"(95%":[153,164,178,228],"CI":[154,165,179,229],"0.88\u20130.943,":[155],"I2":[156,167,181,231],"=":[157,168,182,198,206,211,232],"99%).":[158],"specificity":[161,190,222],"0.945":[163],"0.918\u20130.964,":[166],"100%).":[169,183],"odds":[173],"ratio":[174],"(DOR)":[175],"219.47":[177],"104.78\u2013459.66,":[180],"These":[184],"results":[185,202],"significant":[187],"different":[193],"network":[194],"architecture":[195],"models":[196],"(p-value":[197,205,210],"0.0289).":[199],"However,":[200],"0.6417)":[207],"DOR":[209],"0.2187)":[212],"not":[214],"significant.":[215],"ResNet":[217,260],"algorithm":[218],"has":[219,252],"higher":[220],"than":[223],"other":[224],"0.935":[227],"0.854\u20130.973,":[230],"93%).":[233],"Conclusion":[234],"detecting":[243],"by":[245],"assessing":[246],"non-contrast":[247],"CT-Scans":[248],"shows":[249],"an":[253,272],"acceptable":[254],"performance":[255],"diagnosing":[257],"ICH.":[258],"Using":[259],"detection":[263],"remains":[264],"promising":[265],"prediction":[266],"improved":[268],"via":[269],"training":[270],"Architecture":[273],"Learning":[274],"Network":[275],"(ALN).":[276]},"counts_by_year":[{"year":2026,"cited_by_count":16},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2023-12-05T00:00:00"}