{"id":"https://openalex.org/W7214899209","doi":"https://doi.org/10.3389/fcvm.2026.1956738","title":"A novel morphological assessment approach for abdominal aortic aneurysms: automated segmentation and measurement using a semi-supervised deep learning algorithm","display_name":"A novel morphological assessment approach for abdominal aortic aneurysms: automated segmentation and measurement using a semi-supervised deep learning algorithm","publication_year":2026,"publication_date":"2026-09-30","ids":{"openalex":"https://openalex.org/W7214899209","doi":"https://doi.org/10.3389/fcvm.2026.1956738","pmid":"https://pubmed.ncbi.nlm.nih.gov/42876521","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/13661395"},"language":"en","primary_location":{"id":"doi:10.3389/fcvm.2026.1956738","doi":"https://doi.org/10.3389/fcvm.2026.1956738","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fcvm.2026.1956738","pdf_url":"https://www.frontiersin.org/journals/cardiovascular-medicine/articles/10.3389/fcvm.2026.1956738/pdf","source":{"id":"https://openalex.org/S2595413687","display_name":"Frontiers in Cardiovascular Medicine","issn_l":"2297-055X","issn":["2297-055X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","jufo-1","ki-jl-1","norway-1","poland-40","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Cardiovascular Medicine","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.frontiersin.org/journals/cardiovascular-medicine/articles/10.3389/fcvm.2026.1956738/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5153647137","display_name":"Guangkuo Wang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210146741","display_name":"Jiangmen Central Hospital","ror":"https://ror.org/04baw4297","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210146741"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guangkuo Wang","raw_affiliation_strings":["Department of Cardiovascular Surgery, Jiangmen Central Hospital"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cardiovascular Surgery, Jiangmen Central Hospital","institution_ids":["https://openalex.org/I4210146741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5153592448","display_name":"Jingyi Zeng","orcid":null,"observed_orcids":[]},"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":"Jingyi Zeng","raw_affiliation_strings":["The First School of Clinical Medicine, Guangdong Medical University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The First School of Clinical Medicine, Guangdong Medical University","institution_ids":["https://openalex.org/I176834541"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123562489","display_name":"Min Li","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210146741","display_name":"Jiangmen Central Hospital","ror":"https://ror.org/04baw4297","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210146741"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Li","raw_affiliation_strings":["Department of Cardiovascular Surgery, Jiangmen Central Hospital"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cardiovascular Surgery, Jiangmen Central Hospital","institution_ids":["https://openalex.org/I4210146741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5153586340","display_name":"Fang Li","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210146741","display_name":"Jiangmen Central Hospital","ror":"https://ror.org/04baw4297","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210146741"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Li","raw_affiliation_strings":["Department of Cardiovascular Surgery, Jiangmen Central Hospital"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cardiovascular Surgery, Jiangmen Central Hospital","institution_ids":["https://openalex.org/I4210146741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5153640939","display_name":"Shangqian Li","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210146741","display_name":"Jiangmen Central Hospital","ror":"https://ror.org/04baw4297","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210146741"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shangqian Li","raw_affiliation_strings":["Department of Cardiovascular Surgery, Jiangmen Central Hospital"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cardiovascular Surgery, Jiangmen Central Hospital","institution_ids":["https://openalex.org/I4210146741"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028763274","display_name":"\u5f20\u5fd7\u94a2","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210146741","display_name":"Jiangmen Central Hospital","ror":"https://ror.org/04baw4297","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210146741"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhigang Zhang","raw_affiliation_strings":["Department of Cardiovascular Surgery, Jiangmen Central Hospital"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cardiovascular Surgery, Jiangmen Central Hospital","institution_ids":["https://openalex.org/I4210146741"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5153647137"],"corresponding_institution_ids":["https://openalex.org/I4210146741"],"apc_list":{"value":3150,"currency":"CHF","value_usd":3801},"apc_paid":{"value":3150,"currency":"CHF","value_usd":3801},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.70555164,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"1956738","last_page":"1956738"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.8393999934196472,"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"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.8393999934196472,"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"}},{"id":"https://openalex.org/T10983","display_name":"Aortic aneurysm repair treatments","score":0.12710000574588776,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.010900000110268593,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/abdominal-aortic-aneurysm","display_name":"abdominal aortic aneurysm","score":1.0},{"id":"https://openalex.org/keywords/morphological-assessment","display_name":"morphological assessment","score":0.7149999737739563},{"id":"https://openalex.org/keywords/automatic-segmentation","display_name":"automatic segmentation","score":0.7730000019073486},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"semi-supervised learning","score":0.8659999966621399},{"id":"https://openalex.org/keywords/consistency-regularization","display_name":"consistency regularization","score":0.9620000123977661},{"id":"https://openalex.org/keywords/swin-unetr","display_name":"Swin UNETR","score":0.8650000095367432},{"id":"https://openalex.org/keywords/ct-angiography","display_name":"CT angiography","score":0.8339999914169312},{"id":"https://openalex.org/keywords/aneurysm-neck","display_name":"aneurysm neck","score":0.8100000023841858},{"id":"https://openalex.org/keywords/iliac-artery","display_name":"iliac artery","score":0.9570000171661377},{"id":"https://openalex.org/keywords/surgical-planning","display_name":"surgical planning","score":0.8370000123977661}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7717999815940857},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7175999879837036},{"id":"https://openalex.org/C2779993416","wikidata":"https://www.wikidata.org/wiki/Q2256736","display_name":"Abdominal aortic aneurysm","level":3,"score":0.6934999823570251},{"id":"https://openalex.org/C104709138","wikidata":"https://www.wikidata.org/wiki/Q1671540","display_name":"Intraclass correlation","level":3,"score":0.6707000136375427},{"id":"https://openalex.org/C141898687","wikidata":"https://www.wikidata.org/wiki/Q1501997","display_name":"Hausdorff distance","level":2,"score":0.659600019454956},{"id":"https://openalex.org/C163892561","wikidata":"https://www.wikidata.org/wiki/Q2613728","display_name":"S\u00f8rensen\u2013Dice coefficient","level":4,"score":0.5705000162124634},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5619999766349792},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5367000102996826},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.42309999465942383},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.41940000653266907},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.3928999900817871},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.3846000134944916},{"id":"https://openalex.org/C2781347138","wikidata":"https://www.wikidata.org/wiki/Q1024492","display_name":"Computed tomography angiography","level":3,"score":0.38440001010894775},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37229999899864197},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3702999949455261},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3682999908924103},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.3230000138282776},{"id":"https://openalex.org/C2777323849","wikidata":"https://www.wikidata.org/wiki/Q616003","display_name":"Aortic aneurysm","level":3,"score":0.32019999623298645},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3156999945640564},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.3012000024318695},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.288100004196167},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.2775999903678894},{"id":"https://openalex.org/C69941244","wikidata":"https://www.wikidata.org/wiki/Q6045770","display_name":"Interclass correlation","level":4,"score":0.2727000117301941},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.27250000834465027},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.2694000005722046},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.2639999985694885},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.2612000107765198},{"id":"https://openalex.org/C164085508","wikidata":"https://www.wikidata.org/wiki/Q4811327","display_name":"Matthews correlation coefficient","level":3,"score":0.25130000710487366}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3389/fcvm.2026.1956738","doi":"https://doi.org/10.3389/fcvm.2026.1956738","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fcvm.2026.1956738","pdf_url":"https://www.frontiersin.org/journals/cardiovascular-medicine/articles/10.3389/fcvm.2026.1956738/pdf","source":{"id":"https://openalex.org/S2595413687","display_name":"Frontiers in Cardiovascular Medicine","issn_l":"2297-055X","issn":["2297-055X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","jufo-1","ki-jl-1","norway-1","poland-40","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Cardiovascular Medicine","raw_type":"journal-article"},{"id":"pmh:oai:pubmedcentral.nih.gov:13661395","doi":null,"is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13661395/","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13661395/pdf/fcvm-13-1956738.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":"Front Cardiovasc Med","raw_type":"Text"},{"id":"pmid:42876521","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/42876521","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":"Frontiers in cardiovascular medicine","raw_type":"Journal Article"},{"id":"pmh:oai:doaj.org/article:32705d9cf87a4e2abd26f5b1d27f02a7","doi":null,"is_oa":false,"landing_page_url":"https://doaj.org/article/32705d9cf87a4e2abd26f5b1d27f02a7","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Frontiers in Cardiovascular Medicine, Vol 13 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3389/fcvm.2026.1956738","doi":"https://doi.org/10.3389/fcvm.2026.1956738","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fcvm.2026.1956738","pdf_url":"https://www.frontiersin.org/journals/cardiovascular-medicine/articles/10.3389/fcvm.2026.1956738/pdf","source":{"id":"https://openalex.org/S2595413687","display_name":"Frontiers in Cardiovascular Medicine","issn_l":"2297-055X","issn":["2297-055X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","jufo-1","ki-jl-1","norway-1","poland-40","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Cardiovascular Medicine","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8560000061988831,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7214899209.pdf","grobid_xml":"https://content.openalex.org/works/W7214899209.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W2975732765","https://openalex.org/W2995034229","https://openalex.org/W2995342757","https://openalex.org/W3112882410","https://openalex.org/W3164581645","https://openalex.org/W3174852669","https://openalex.org/W3212311377","https://openalex.org/W4205826745","https://openalex.org/W4206651380","https://openalex.org/W4212841345","https://openalex.org/W4220998073","https://openalex.org/W4296236277","https://openalex.org/W4298087738","https://openalex.org/W4319865385","https://openalex.org/W4389827562","https://openalex.org/W4390572032","https://openalex.org/W4391492148","https://openalex.org/W4391677331","https://openalex.org/W4394927291","https://openalex.org/W4404145256","https://openalex.org/W4404512815","https://openalex.org/W4405376254","https://openalex.org/W4406097113","https://openalex.org/W4406753851","https://openalex.org/W4408648605","https://openalex.org/W4410305064","https://openalex.org/W4414628705","https://openalex.org/W7090501620"],"related_works":["https://openalex.org/W7090501620","https://openalex.org/W4313555774","https://openalex.org/W4394927291","https://openalex.org/W4416317045","https://openalex.org/W3112882410","https://openalex.org/W4383198025","https://openalex.org/W4394804991","https://openalex.org/W7208710408","https://openalex.org/W4406753851","https://openalex.org/W3174452058"],"abstract_inverted_index":{"Background":[0],"Morphological":[1],"assessment":[2,17],"of":[3,43,88,243,247],"abdominal":[4],"aortic":[5],"aneurysm":[6,92],"(AAA)":[7],"is":[8,18],"crucial":[9],"for":[10,35,73],"preoperative":[11],"strategy":[12],"formulation,":[13],"but":[14],"traditional":[15],"manual":[16,123],"time-consuming":[19],"and":[20,38,41,76,94,108,115,122,147,151,158,166,172,214,237,241],"subjective.":[21],"Objectives":[22],"This":[23],"study":[24],"aims":[25],"to":[26,84,197,209,220],"develop":[27],"a":[28,49],"novel":[29],"semi-supervised":[30,50],"deep":[31],"learning":[32,51],"(DL)":[33],"framework":[34],"the":[36,89,99,103,116,129,134,164],"automatic":[37],"accurate":[39,86],"segmentation":[40,87,101,136,240],"measurement":[42,242],"AAA.":[44,248],"Methods":[45],"In":[46,186],"this":[47],"study,":[48],"algorithm":[52,68,233],"was":[53,125,143,153],"developed":[54],"based":[55,179],"on":[56,180],"computed":[57],"tomography":[58],"angiography":[59],"scans":[60],"collected":[61],"retrospectively":[62],"from":[63,193,205,216],"88":[64],"AAA":[65,90],"patients.":[66],"The":[67,141,230],"employed":[69],"16":[70],"labeled":[71],"cases":[72,80],"supervised":[74],"training":[75],"incorporated":[77],"47":[78],"unlabeled":[79],"through":[81],"consistency":[82],"regularization":[83],"achieve":[85],"lumen,":[91],"neck,":[93],"iliac":[95],"arteries.":[96],"To":[97],"evaluate":[98],"model's":[100],"performance,":[102],"Dice":[104],"similarity":[105],"coefficient":[106,183],"(DSC)":[107],"95%":[109],"Hausdorff":[110],"distance":[111,204],"(HD95)":[112],"were":[113],"utilized,":[114],"agreement":[117,178],"between":[118],"automatically":[119],"derived":[120],"measurements":[121,174],"annotations":[124],"assessed.":[126],"Results":[127],"Among":[128],"models":[130],"evaluated,":[131],"Swin-UNETR":[132,232],"achieved":[133],"best":[135],"performance":[137],"with":[138],"97.3%":[139],"accuracy.":[140],"DSC":[142],"0.965":[144],"\u00b1":[145,149,155,160,195,199,207,211,218,222],"0.025":[146],"0.931":[148],"0.021,":[150],"HD95":[152],"2.01":[154],"0.39":[156],"mm":[157,162],"2.93":[159],"0.28":[161],"in":[163],"internal":[165],"independent":[167],"test":[168],"sets,":[169],"respectively.":[170],"Automation":[171],"expert":[173],"showed":[175],"generally":[176],"good-to-excellent":[177],"intraclass":[181],"correlation":[182],"(ICC)":[184],"analysis.":[185],"addition,":[187],"average":[188],"time":[189],"per":[190],"case":[191],"decreased":[192],"53.08":[194],"8.17":[196],"4.18":[198],"0.90":[200,223],"min,":[201],"mouse":[202],"movement":[203],"91.62":[206],"9.95":[208],"13.03":[210],"3.12":[212],"m,":[213],"clicks":[215],"672.62":[217],"129.47":[219],"157.69":[221],"times":[224],"(all":[225],"P":[226],"<":[227],"0.001).":[228],"Conclusions":[229],"proposed":[231],"enables":[234],"fast,":[235],"reliable,":[236],"reproducible":[238],"automated":[239],"key":[244],"anatomical":[245],"details":[246]},"counts_by_year":[],"updated_date":"2026-10-29T09:56:32.521200","created_date":"2026-10-01T00:00:00"}
