{"version":"6.9","hitCount":64,"nextCursorMark":"AoIIQA8mQSg0ODAxNzE3Ng==","nextPageUrl":"https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=\"intracranial hemorrhage\" AND \"artificial intelligence\" AND Sheba AND mortality&cursorMark=AoIIQA8mQSg0ODAxNzE3Ng==&resultType=core&pageSize=5&format=json","request":{"queryString":"\"intracranial hemorrhage\" AND \"artificial intelligence\" AND Sheba AND mortality","resultType":"core","cursorMark":"*","pageSize":5,"sort":"","synonym":false},"resultList":{"result":[{"id":"37568103","source":"MED","pmid":"37568103","pmcid":"PMC10422703","fullTextIdList":{"fullTextId":["PMC10422703"]},"doi":"10.1186/s12245-023-00523-y","title":"The impact on clinical outcomes after 1 year of implementation of an artificial intelligence solution for the detection of intracranial hemorrhage.","authorString":"Kotovich D, Twig G, Itsekson-Hayosh Z, Klug M, Simon AB, Yaniv G, Konen E, Tau N, Raskin D, Chang PJ, Orion D.","authorList":{"author":[{"fullName":"Kotovich D","lastName":"Kotovich","firstName":"Dmitry","initials":"D","authorId":{"type":"ORCID","value":"0000-0001-8262-4981"},"authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"The Institute for Research in Military Medicine, The Faculty of Medicine, The Hebrew University of Jerusalem, Tel Aviv, Israel. Dmitry.kotovich@mail.huji.ac.il."},{"affiliation":"The IDF Medical Corps, 9112102, Tel Aviv, Israel. Dmitry.kotovich@mail.huji.ac.il."}]}},{"fullName":"Twig G","lastName":"Twig","firstName":"Gilad","initials":"G","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"The Institute for Research in Military Medicine, The Faculty of Medicine, The Hebrew University of Jerusalem, Tel Aviv, Israel."},{"affiliation":"The IDF Medical Corps, 9112102, Tel Aviv, Israel."}]}},{"fullName":"Itsekson-Hayosh Z","lastName":"Itsekson-Hayosh","firstName":"Zeev","initials":"Z","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Center of Stroke and Neurovascular Disorders, Sheba Medical Center, Tel HaShomer, Ramat Gan, affiliated to Sackler Faculty of Medicine, Tel Aviv University, 52621, Tel Aviv, Israel."}]}},{"fullName":"Klug M","lastName":"Klug","firstName":"Maximiliano","initials":"M","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Department of Diagnostic Imaging, Sheba Medical Center, Tel HaShomer, Ramat Gan, Israel, affiliated to Sackler Faculty of Medicine, Tel Aviv University, 52621, Tel Aviv, Israel."}]}},{"fullName":"Simon AB","lastName":"Simon","firstName":"Asaf Ben","initials":"AB","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Sackler School of Medicine, Faculty of Medicine, Tel Aviv University, 69978, Tel Aviv, Israel."}]}},{"fullName":"Yaniv G","lastName":"Yaniv","firstName":"Gal","initials":"G","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Department of Diagnostic Imaging, Sheba Medical Center, Tel HaShomer, Ramat Gan, Israel, affiliated to Sackler Faculty of Medicine, Tel Aviv University, 52621, Tel Aviv, Israel."}]}},{"fullName":"Konen E","lastName":"Konen","firstName":"Eli","initials":"E","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Department of Diagnostic Imaging, Sheba Medical Center, Tel HaShomer, Ramat Gan, Israel, affiliated to Sackler Faculty of Medicine, Tel Aviv University, 52621, Tel Aviv, Israel."}]}},{"fullName":"Tau N","lastName":"Tau","firstName":"Noam","initials":"N","authorId":{"type":"ORCID","value":"0000-0003-0849-1708"},"authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Department of Diagnostic Imaging, Sheba Medical Center, Tel HaShomer, Ramat Gan, Israel, affiliated to Sackler Faculty of Medicine, Tel Aviv University, 52621, Tel Aviv, Israel."}]}},{"fullName":"Raskin D","lastName":"Raskin","firstName":"Daniel","initials":"D","authorId":{"type":"ORCID","value":"0000-0003-3584-3748"},"authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Department of Diagnostic Imaging, Sheba Medical Center, Tel HaShomer, Ramat Gan, Israel, affiliated to Sackler Faculty of Medicine, Tel Aviv University, 52621, Tel Aviv, Israel."}]}},{"fullName":"Chang PJ","lastName":"Chang","firstName":"Paul J","initials":"PJ","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Department of Radiology, University of Chicago Medical Center, Chicago, Illinois, 60637, USA."}]}},{"fullName":"Orion D","lastName":"Orion","firstName":"David","initials":"D","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Center of Stroke and Neurovascular Disorders, Sheba Medical Center, Tel HaShomer, Ramat Gan, affiliated to Sackler Faculty of Medicine, Tel Aviv University, 52621, Tel Aviv, Israel."}]}}]},"authorIdList":{"authorId":[{"type":"ORCID","value":"0000-0001-8262-4981"},{"type":"ORCID","value":"0000-0003-0849-1708"},{"type":"ORCID","value":"0000-0003-3584-3748"},{"type":"ORCID","value":"0009-0009-6316-9077"}]},"dataLinksTagsList":{"dataLinkstag":["altmetrics","supporting_data"]},"journalInfo":{"issue":"1","volume":"16","journalIssueId":3610991,"dateOfPublication":"2023 Aug","monthOfPublication":8,"yearOfPublication":2023,"journal":{"medlineAbbreviation":"Int J Emerg Med","title":"International journal of emergency medicine","essn":"1865-1380","issn":"1865-1372","isoabbreviation":"Int J Emerg Med","nlmid":"101469435"},"printPublicationDate":"2023-08-01"},"pubYear":"2023","pageInfo":"50","abstractText":"<h4>Background</h4>To assess the effect of a commercial artificial intelligence (AI) solution implementation in the emergency department on clinical outcomes in a single level 1 trauma center.<h4>Methods</h4>A retrospective cohort study for two time periods-pre-AI (1.1.2017-1.1.2018) and post-AI (1.1.2019-1.1.2020)-in a level 1 trauma center was performed. The ICH algorithm was applied to 587 consecutive patients with a confirmed diagnosis of ICH on head CT upon admission to the emergency department. Study variables included demographics, patient outcomes, and imaging data. Participants admitted to the emergency department during the same time periods for other acute diagnoses (ischemic stroke (IS) and myocardial infarction (MI)) served as control groups. Primary outcomes were 30- and 120-day all-cause mortality. The secondary outcome was morbidity based on Modified Rankin Scale for Neurologic Disability (mRS) at discharge.<h4>Results</h4>Five hundred eighty-seven participants (289 pre-AI-age 71 ± 1, 169 men; 298 post-AI-age 69 ± 1, 187 men) with ICH were eligible for the analyzed period. Demographics, comorbidities, Emergency Severity Score, type of ICH, and length of stay were not significantly different between the two time periods. The 30- and 120-day all-cause mortality were significantly reduced in the post-AI group when compared to the pre-AI group (27.7% vs 17.5%; p = 0.004 and 31.8% vs 21.7%; p = 0.017, respectively). Modified Rankin Scale (mRS) at discharge was significantly reduced post-AI implementation (3.2 vs 2.8; p = 0.044).<h4>Conclusion</h4>The added value of this study emphasizes the introduction of artificial intelligence (AI) computer-aided triage and prioritization software in an emergent care setting that demonstrated a significant reduction in a 30- and 120-day all-cause mortality and morbidity for patients diagnosed with intracranial hemorrhage (ICH). Along with mortality rates, the AI software was associated with a significant reduction in the Modified Ranking Scale (mRs).","affiliation":"The Institute for Research in Military Medicine, The Faculty of Medicine, The Hebrew University of Jerusalem, Tel Aviv, Israel. Dmitry.kotovich@mail.huji.ac.il.","publicationStatus":"epublish","language":"eng","pubModel":"Electronic","pubTypeList":{"pubType":["research-article","Journal Article"]},"keywordList":{"keyword":["Artificial intelligence","Intracranial Hemorrhage","Modified Ranking Scale"]},"fullTextUrlList":{"fullTextUrl":[{"availability":"Subscription required","availabilityCode":"S","documentStyle":"doi","site":"DOI","url":"https://doi.org/10.1186/s12245-023-00523-y"},{"availability":"Open access","availabilityCode":"OA","documentStyle":"html","site":"Europe_PMC","url":"https://europepmc.org/articles/PMC10422703"},{"availability":"Open access","availabilityCode":"OA","documentStyle":"pdf","site":"Europe_PMC","url":"https://europepmc.org/articles/PMC10422703?pdf=render"}]},"commentCorrectionList":{"commentCorrection":[{"source":"PPR","id":"PPR636760","type":"Preprint in","note":"CrossRef Pre-print 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C","lastName":"Zhao","firstName":"Changzhi","initials":"C","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Department of Neurosurgery, Xuzhou Central Hospital, Southeast University Affiliated Xuzhou Central Hospital, Xuzhou Clinical School of Xuzhou Medical University, Xuzhou, China."}]}},{"fullName":"Chen G","lastName":"Chen","firstName":"Guofang","initials":"G","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Department of Neurology, Xuzhou Central Hospital, Southeast University Affiliated Xuzhou Central Hospital, Xuzhou Clinical School of Xuzhou Medical University, Xuzhou, China."}]}},{"fullName":"Guo Z","lastName":"Guo","firstName":"Zhiliang","initials":"Z","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Department of Neurology and Suzhou Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, China."}]}},{"fullName":"Chen S","lastName":"Chen","firstName":"Sha","initials":"S","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Department of Neurosurgery, Xuzhou Central Hospital, Southeast University Affiliated Xuzhou Central Hospital, Xuzhou Clinical School of Xuzhou Medical University, Xuzhou, China."}]}},{"fullName":"Ping L","lastName":"Ping","firstName":"Lei","initials":"L","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Department of Neurology, Xuzhou Central Hospital, Southeast University Affiliated Xuzhou Central Hospital, Xuzhou Clinical School of Xuzhou Medical University, Xuzhou, China."}]}},{"fullName":"Li Q","lastName":"Li","firstName":"Qiao","initials":"Q","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Department of Neurology, Xuzhou Central Hospital, Southeast University Affiliated Xuzhou Central Hospital, Xuzhou Clinical School of Xuzhou Medical University, Xuzhou, China."}]}},{"fullName":"Zhang X","lastName":"Zhang","firstName":"Xiaoying","initials":"X","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Department of Neurology, Xuzhou Central Hospital, Southeast University Affiliated Xuzhou Central Hospital, Xuzhou Clinical School of Xuzhou Medical University, Xuzhou, China."}]}},{"fullName":"Ding M","lastName":"Ding","firstName":"Manhua","initials":"M","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Department of Radiotherapy, Xuzhou Cancer Hospital, Xuzhou, China."}]}},{"fullName":"Zhang Y","lastName":"Zhang","firstName":"Yang","initials":"Y","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Department of Neurology, Xuzhou Central Hospital, Southeast University Affiliated Xuzhou Central Hospital, Xuzhou Clinical School of Xuzhou Medical University, Xuzhou, China."},{"affiliation":"Department of Neurology and Suzhou Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, China."}]}}]},"dataLinksTagsList":{"dataLinkstag":["altmetrics","supporting_data"]},"journalInfo":{"volume":"19","journalIssueId":3895026,"dateOfPublication":"2025 ","monthOfPublication":0,"yearOfPublication":2025,"journal":{"medlineAbbreviation":"Front Neurosci","title":"Frontiers in neuroscience","essn":"1662-453X","issn":"1662-4548","isoabbreviation":"Front Neurosci","nlmid":"101478481"},"printPublicationDate":"2025-01-01"},"pubYear":"2025","pageInfo":"1707934","abstractText":"<h4>Background and purpose</h4>Mechanical thrombectomy advances enable detection of thrombus composition changes post-intravenous thrombolysis, but evidence remains limited. This study retrospectively analyzed thrombi obtained from mechanical thrombectomy in patients with acute ischemic stroke to explore the impact of intravenous thrombolysis (IVT) on the composition of thrombi in patients with different TOAST classifications and the association between changes in thrombus components and clinical outcome data.<h4>Materials and methods</h4>Thrombus samples from 141 patients undergoing mechanical thrombectomy (<i>n</i> = 60) or bridging therapy (<i>n</i> = 81) at two hospitals between December 2020 and January 2024 were included. Baseline data and outcome data were collected. Components were analyzed via HE staining and immunohistochemistry for CD61 and FGB, quantifying area percentages of red blood cell (RBC), white blood cell (WBC), platelet-fibrin complexes (PLT + FIB), platelet (PLT), and fibrin (FIB). Thrombus components were compared between the mechanical thrombectomy and bridging therapy groups according to TOAST subtypes, and a combined analysis was conducted with clinical prognosis and surgical conditions.<h4>Results</h4>No significant baseline differences (<i>p</i> > 0.05). Significant component differences between mechanical thrombectomy and bridging therapy across subtypes: in large artery atherosclerotic (LAA), FIB higher in mechanical thrombectomy (<i>p</i> = 0.001); in cardioembolic (CE), PLT and FIB higher in mechanical thrombectomy (<i>p</i> = 0.003, <i>p</i> < 0.001). Subtype comparisons showed differences: LAA vs. CE in RBC, PLT + FIB, PLT, FIB (<i>p</i> < 0.05); LAA vs. stroke of undetermined source (SUE) in PLT and FIB (<i>p</i> < 0.05); CE vs. SUE in FIB (<i>p</i> < 0.05).<h4>Conclusion</h4>This study quantified the thrombus components of different etiologies and found that IVT could reduce the FIB content in thrombi of large artery occlusion cerebral infarction, especially in the LAA type. The platelet content in the LAA type was higher than that in the CE and the SUE types. The FIB level in the SUE type was higher than that in the CE type. FIB was not only present in the PLT area but also in the RBC area. IVT may improve thrombectomy success by disrupting thrombus structure, but it can increase fragment embolization and prolong procedure time.","affiliation":"Department of Neurosurgery, Xuzhou Central Hospital, Southeast University Affiliated Xuzhou Central Hospital, Xuzhou Clinical School of Xuzhou Medical University, Xuzhou, China.","publicationStatus":"epublish","language":"eng","pubModel":"Electronic-eCollection","pubTypeList":{"pubType":["research-article","Journal Article"]},"keywordList":{"keyword":["Thrombus","Thrombolysis","Ischemic stroke","Mechanical Thrombectomy","Toast Classification"]},"fullTextUrlList":{"fullTextUrl":[{"availability":"Subscription required","availabilityCode":"S","documentStyle":"doi","site":"DOI","url":"https://doi.org/10.3389/fnins.2025.1707934"},{"availability":"Open access","availabilityCode":"OA","documentStyle":"html","site":"Europe_PMC","url":"https://europepmc.org/articles/PMC12679381"},{"availability":"Open 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Pulmonary Embolism: Patients' Stratification, Prognosis, and Therapeutic Options-Time to Pay Attention to the Middle Child.","authorString":"Natanzon SS, Mansour M, Fardman A, Chernomordik F, Herscovici R, Matetzky S, Beigel R.","authorList":{"author":[{"fullName":"Natanzon SS","lastName":"Natanzon","firstName":"Sharon Shalom","initials":"SS","authorId":{"type":"ORCID","value":"0000-0003-3349-7298"},"authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Intensive Cardiac Care Unit and Department of Cardiology, Division of Cardiology, Sheba Medical Center, Tel-Hashomer, Ramat Gan 52621, Israel."},{"affiliation":"Division of Cardiology, University of Florida College of Medicine, Jacksonville, FL 32209, USA."}]}},{"fullName":"Mansour M","lastName":"Mansour","firstName":"Mahmoud","initials":"M","authorId":{"type":"ORCID","value":"0000-0002-0533-9543"},"authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Intensive Cardiac Care Unit and Department of Cardiology, 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Israel."}]}},{"fullName":"Herscovici R","lastName":"Herscovici","firstName":"Romana","initials":"R","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Intensive Cardiac Care Unit and Department of Cardiology, Division of Cardiology, Sheba Medical Center, Tel-Hashomer, Ramat Gan 52621, Israel."},{"affiliation":"The Gray Faculty of Medical and Health Sciences, Tel-Aviv University, Tel-Aviv 6997801, Israel."}]}},{"fullName":"Matetzky S","lastName":"Matetzky","firstName":"Shlomi","initials":"S","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Intensive Cardiac Care Unit and Department of Cardiology, Division of Cardiology, Sheba Medical Center, Tel-Hashomer, Ramat Gan 52621, Israel."},{"affiliation":"The Gray Faculty of Medical and Health Sciences, Tel-Aviv University, Tel-Aviv 6997801, Israel."}]}},{"fullName":"Beigel R","lastName":"Beigel","firstName":"Roy","initials":"R","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Intensive Cardiac Care Unit and Department of Cardiology, Division of Cardiology, Sheba Medical Center, Tel-Hashomer, Ramat Gan 52621, Israel."},{"affiliation":"The Gray Faculty of Medical and Health Sciences, Tel-Aviv University, Tel-Aviv 6997801, Israel."}]}}]},"authorIdList":{"authorId":[{"type":"ORCID","value":"0000-0002-0533-9543"},{"type":"ORCID","value":"0000-0003-3349-7298"},{"type":"ORCID","value":"0000-0003-4541-8366"}]},"dataLinksTagsList":{"dataLinkstag":["supporting_data"]},"journalInfo":{"issue":"17","volume":"14","journalIssueId":4016422,"dateOfPublication":"2025 Sep","monthOfPublication":9,"yearOfPublication":2025,"journal":{"medlineAbbreviation":"J Clin Med","title":"Journal of clinical medicine","essn":"2077-0383","issn":"2077-0383","isoabbreviation":"J Clin Med","nlmid":"101606588"},"printPublicationDate":"2025-09-01"},"pubYear":"2025","pageInfo":"6215","abstractText":"Acute pulmonary embolism can range from being completely asymptomatic to causing life-threatening events, which underscores the importance of effective risk stratification. Intermediate-risk patients represent a distinct subgroup characterized by specific clinical, laboratory, and imaging features. Although the majority have favorable outcomes, a significant proportion may still experience adverse events, presenting an ongoing challenge in determining the optimal therapeutic approach. This comprehensive review explores the characteristics of intermediate-risk pulmonary embolism patients, focusing on key diagnostic and prognostic factors, current treatment practices, and the evolving role of novel, specifically catheter-directed interventions. We also provide an overview of current guideline recommendations and discuss recent advancements in the field.","affiliation":"Intensive Cardiac Care Unit and Department of Cardiology, Division of Cardiology, Sheba Medical Center, Tel-Hashomer, Ramat Gan 52621, Israel.","publicationStatus":"epublish","language":"eng","pubModel":"Electronic","pubTypeList":{"pubType":["review-article","Review","Journal Article"]},"keywordList":{"keyword":["Stratification","Therapy","Pulmonary embolism","Imaging","Intermediate Risk"]},"fullTextUrlList":{"fullTextUrl":[{"availability":"Subscription required","availabilityCode":"S","documentStyle":"doi","site":"DOI","url":"https://doi.org/10.3390/jcm14176215"},{"availability":"Open access","availabilityCode":"OA","documentStyle":"html","site":"Europe_PMC","url":"https://europepmc.org/articles/PMC12429051"},{"availability":"Open 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of Radiology, University of Washington School of Medicine, Seattle, WA, USA."}]}},{"fullName":"Beckmann NM","lastName":"Beckmann","firstName":"Nicholas M","initials":"NM","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Memorial Hermann Orthopedic & Spine Hospital, McGovern Medical School at UTHealth, Houston, TX, USA."}]}},{"fullName":"Feng Z","lastName":"Feng","firstName":"Zhaoyong","initials":"Z","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Epidemiology & Public Health, University of Maryland School of Medicine, Baltimore, MD, USA."}]}},{"fullName":"Liang Y","lastName":"Liang","firstName":"Yuanyuan","initials":"Y","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Epidemiology & Public Health, University of Maryland School of Medicine, Baltimore, MD, USA."}]}},{"fullName":"Delproposto ZS","lastName":"Delproposto","firstName":"Zachary S","initials":"ZS","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Division of Emergency Radiology, Department of Radiology, University of Michigan, Ann Arbor, MI, USA."}]}},{"fullName":"Klug M","lastName":"Klug","firstName":"Maximiliano","initials":"M","authorId":{"type":"ORCID","value":"0000-0003-2844-5020"},"authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Sheba Medical Center, Ramat Gan, Israel."}]}},{"fullName":"Spann JS","lastName":"Spann","firstName":"J Stephen","initials":"JS","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Department of Radiology, University of Alabama at Birmingham Heersink School of Medicine, Birmingham, AL, USA."}]}},{"fullName":"Sarkar N","lastName":"Sarkar","firstName":"Nathan","initials":"N","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"University of Maryland School of Medicine, Baltimore, MD, USA."}]}},{"fullName":"Fu Y","lastName":"Fu","firstName":"Yunting","initials":"Y","authorId":{"type":"ORCID","value":"0000-0001-7614-5378"},"authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Health Sciences and Human Services Library, University of Maryland, Baltimore, Baltimore, MD, USA."}]}}]},"authorIdList":{"authorId":[{"type":"ORCID","value":"0000-0001-7614-5378"},{"type":"ORCID","value":"0000-0002-0176-0912"},{"type":"ORCID","value":"0000-0003-2844-5020"}]},"dataLinksTagsList":{"dataLinkstag":["altmetrics","supporting_data"]},"journalInfo":{"issue":"3","volume":"30","journalIssueId":3577252,"dateOfPublication":"2023 Jun","monthOfPublication":6,"yearOfPublication":2023,"journal":{"medlineAbbreviation":"Emerg Radiol","title":"Emergency radiology","essn":"1438-1435","issn":"1070-3004","isoabbreviation":"Emerg Radiol","nlmid":"9431227"},"printPublicationDate":"2023-06-01"},"pubYear":"2023","pageInfo":"251-265","abstractText":"<h4>Background</h4>AI/ML CAD tools can potentially improve outcomes in the high-stakes, high-volume model of trauma radiology. No prior scoping review has been undertaken to comprehensively assess tools in this subspecialty.<h4>Purpose</h4>To map the evolution and current state of trauma radiology CAD tools along key dimensions of technology readiness.<h4>Methods</h4>Following a search of databases, abstract screening, and full-text document review, CAD tool maturity was charted using elements of data curation, performance validation, outcomes research, explainability, user acceptance, and funding patterns. Descriptive statistics were used to illustrate key trends.<h4>Results</h4>A total of 4052 records were screened, and 233 full-text articles were selected for content analysis. Twenty-one papers described FDA-approved commercial tools, and 212 reported algorithm prototypes. Works ranged from foundational research to multi-reader multi-case trials with heterogeneous external data. Scalable convolutional neural network-based implementations increased steeply after 2016 and were used in all commercial products; however, options for explainability were narrow. Of FDA-approved tools, 9/10 performed detection tasks. Dataset sizes ranged from < 100 to > 500,000 patients, and commercialization coincided with public dataset availability. Cross-sectional torso datasets were uniformly small. Data curation methods with ground truth labeling by independent readers were uncommon. No papers assessed user acceptance, and no method included human-computer interaction. The USA and China had the highest research output and frequency of research funding.<h4>Conclusions</h4>Trauma imaging CAD tools are likely to improve patient care but are currently in an early stage of maturity, with few FDA-approved products for a limited number of uses. The scarcity of high-quality annotated data remains a major barrier.","affiliation":"Department of Diagnostic Radiology and Nuclear Medicine, R Adams Cowley Shock Trauma Center, University of Maryland School of Medicine, Baltimore, MD, USA. daviddreizin@gmail.com.","publicationStatus":"ppublish","language":"eng","pubModel":"Print-Electronic","pubTypeList":{"pubType":["Scoping Review","research-article","Journal Article"]},"grantsList":{"grant":[{"agency":"NIBIB NIH HHS","acronym":"EB","grantId":"K08 EB027141","orderIn":0},{"agency":"National Institutes of Health","grantId":"NIH K08 EB027141-01A1","orderIn":0}]},"meshHeadingList":{"meshHeading":[{"majorTopic_YN":"N","descriptorName":"Humans"},{"majorTopic_YN":"N","descriptorName":"Cross-Sectional Studies"},{"majorTopic_YN":"Y","descriptorName":"Radiology"},{"majorTopic_YN":"N","descriptorName":"Algorithms"},{"majorTopic_YN":"Y","descriptorName":"Artificial Intelligence"},{"majorTopic_YN":"N","descriptorName":"Neural Networks, Computer"}]},"keywordList":{"keyword":["Artificial intelligence","Trauma","Emergency","Imaging","Radiology","Machine Learning","Computer-aided Detection","Scoping Review","Emergency Radiology"]},"subsetList":{"subset":[{"code":"IM","name":"Index Medicus"}]},"fullTextUrlList":{"fullTextUrl":[{"availability":"Subscription required","availabilityCode":"S","documentStyle":"doi","site":"DOI","url":"https://doi.org/10.1007/s10140-023-02120-1"},{"availability":"Free","availabilityCode":"F","documentStyle":"html","site":"Europe_PMC","url":"https://europepmc.org/articles/PMC10640925"},{"availability":"Free","availabilityCode":"F","documentStyle":"pdf","site":"Europe_PMC","url":"https://europepmc.org/articles/PMC10640925?pdf=render"},{"availability":"Free","availabilityCode":"F","documentStyle":"doi","site":"DOI","url":"https://doi.org/10.1007/s10140-023-02120-1"}]},"isOpenAccess":"N","inEPMC":"Y","inPMC":"Y","citedByCount":20,"hasReferences":"Y","hasTextMinedTerms":"Y","hasDbCrossReferences":"N","hasPDF":"Y","hasBook":"N","hasSuppl":"Y","hasLabsLinks":"Y","hasData":"Y","authMan":"Y","epmcAuthMan":"N","nihAuthMan":"Y","manuscriptId":"NIHMS1912125","hasTMAccessionNumbers":"Y","tmAccessionTypeList":{"accessionType":["doi"]},"dateOfCompletion":"2023-05-29","dateOfCreation":"2023-03-14","dateOfRevision":"2025-01-30","electronicPublicationDate":"2023-03-14","firstPublicationDate":"2023-03-14","firstIndexDate":"2023-03-15","fullTextReceivedDate":"2025-02-05","hasEvaluations":"N"}]}}