Matches in SemOpenAlex for { <https://semopenalex.org/work/W4308993668> ?p ?o ?g. }
- W4308993668 endingPage "271" @default.
- W4308993668 startingPage "262" @default.
- W4308993668 abstract "Subarachnoid hemorrhage from cerebral aneurysm rupture is a major cause of morbidity and mortality. Early aneurysm identification, aided by automated systems, may improve patient outcomes. Therefore, a systematic review and meta-analysis of the diagnostic accuracy of artificial intelligence (AI) algorithms in detecting cerebral aneurysms using CT, MRI or DSA was performed.MEDLINE, Embase, Cochrane Library and Web of Science were searched until August 2021. Eligibility criteria included studies using fully automated algorithms to detect cerebral aneurysms using MRI, CT or DSA. Following Preferred Reporting Items for Systematic Reviews and Meta-Analysis: Diagnostic Test Accuracy (PRISMA-DTA), articles were assessed using Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2). Meta-analysis included a bivariate random-effect model to determine pooled sensitivity, specificity, and area under the receiver operator characteristic curve (ROC-AUC).CRD42021278454.43 studies were included, and 41/43 (95%) were retrospective. 34/43 (79%) used AI as a standalone tool, while 9/43 (21%) used AI assisting a reader. 23/43 (53%) used deep learning. Most studies had high bias risk and applicability concerns, limiting conclusions. Six studies in the standalone AI meta-analysis gave (pooled) 91.2% (95% CI 82.2% to 95.8%) sensitivity; 16.5% (95% CI 9.4% to 27.1%) false-positive rate (1-specificity); 0.936 ROC-AUC. Five reader-assistive AI studies gave (pooled) 90.3% (95% CI 88.0% - 92.2%) sensitivity; 7.9% (95% CI 3.5% to 16.8%) false-positive rate; 0.910 ROC-AUC.AI has the potential to support clinicians in detecting cerebral aneurysms. Interpretation is limited due to high risk of bias and poor generalizability. Multicenter, prospective studies are required to assess AI in clinical practice." @default.
- W4308993668 created "2022-11-20" @default.
- W4308993668 creator A5003607819 @default.
- W4308993668 creator A5007801524 @default.
- W4308993668 creator A5018652821 @default.
- W4308993668 creator A5023417526 @default.
- W4308993668 creator A5028777364 @default.
- W4308993668 creator A5091131279 @default.
- W4308993668 date "2022-11-14" @default.
- W4308993668 modified "2023-10-02" @default.
- W4308993668 title "Detection of cerebral aneurysms using artificial intelligence: a systematic review and meta-analysis" @default.
- W4308993668 cites W1984231289 @default.
- W4308993668 cites W1992805592 @default.
- W4308993668 cites W2016721454 @default.
- W4308993668 cites W2031466412 @default.
- W4308993668 cites W2043478908 @default.
- W4308993668 cites W2077438457 @default.
- W4308993668 cites W2094943913 @default.
- W4308993668 cites W2095533277 @default.
- W4308993668 cites W2098995101 @default.
- W4308993668 cites W2107638293 @default.
- W4308993668 cites W2109887283 @default.
- W4308993668 cites W2116188724 @default.
- W4308993668 cites W2116291080 @default.
- W4308993668 cites W2126629875 @default.
- W4308993668 cites W2126727011 @default.
- W4308993668 cites W2132924384 @default.
- W4308993668 cites W2152035880 @default.
- W4308993668 cites W2161649085 @default.
- W4308993668 cites W2163466561 @default.
- W4308993668 cites W2165839911 @default.
- W4308993668 cites W2169503864 @default.
- W4308993668 cites W2269469709 @default.
- W4308993668 cites W2288040786 @default.
- W4308993668 cites W2300833568 @default.
- W4308993668 cites W2556143814 @default.
- W4308993668 cites W2605757559 @default.
- W4308993668 cites W2712249504 @default.
- W4308993668 cites W2730195432 @default.
- W4308993668 cites W2746587344 @default.
- W4308993668 cites W2783444794 @default.
- W4308993668 cites W2783687327 @default.
- W4308993668 cites W2785704959 @default.
- W4308993668 cites W2792558209 @default.
- W4308993668 cites W2895926594 @default.
- W4308993668 cites W2903291548 @default.
- W4308993668 cites W2904807675 @default.
- W4308993668 cites W2908139222 @default.
- W4308993668 cites W2921924339 @default.
- W4308993668 cites W2946148632 @default.
- W4308993668 cites W2948864380 @default.
- W4308993668 cites W2951762285 @default.
- W4308993668 cites W2961988677 @default.
- W4308993668 cites W2965286438 @default.
- W4308993668 cites W2984273754 @default.
- W4308993668 cites W2984542815 @default.
- W4308993668 cites W2986375494 @default.
- W4308993668 cites W3002900120 @default.
- W4308993668 cites W3006125542 @default.
- W4308993668 cites W3012280898 @default.
- W4308993668 cites W3013294478 @default.
- W4308993668 cites W3028977306 @default.
- W4308993668 cites W3029563868 @default.
- W4308993668 cites W3032650301 @default.
- W4308993668 cites W3040921150 @default.
- W4308993668 cites W3085816707 @default.
- W4308993668 cites W3094771178 @default.
- W4308993668 cites W3096464335 @default.
- W4308993668 cites W3096779017 @default.
- W4308993668 cites W3108194527 @default.
- W4308993668 cites W3109609494 @default.
- W4308993668 cites W3111381052 @default.
- W4308993668 cites W3131650194 @default.
- W4308993668 cites W3132619094 @default.
- W4308993668 cites W3134453052 @default.
- W4308993668 cites W3150687249 @default.
- W4308993668 cites W3164470852 @default.
- W4308993668 cites W3167692742 @default.
- W4308993668 cites W3183988814 @default.
- W4308993668 cites W3187956387 @default.
- W4308993668 cites W3192404699 @default.
- W4308993668 cites W4210586081 @default.
- W4308993668 cites W4248621351 @default.
- W4308993668 cites W4280532498 @default.
- W4308993668 cites W4288738652 @default.
- W4308993668 doi "https://doi.org/10.1136/jnis-2022-019456" @default.
- W4308993668 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36375834" @default.
- W4308993668 hasPublicationYear "2022" @default.
- W4308993668 type Work @default.
- W4308993668 citedByCount "7" @default.
- W4308993668 countsByYear W43089936682023 @default.
- W4308993668 crossrefType "journal-article" @default.
- W4308993668 hasAuthorship W4308993668A5003607819 @default.
- W4308993668 hasAuthorship W4308993668A5007801524 @default.
- W4308993668 hasAuthorship W4308993668A5018652821 @default.
- W4308993668 hasAuthorship W4308993668A5023417526 @default.
- W4308993668 hasAuthorship W4308993668A5028777364 @default.
- W4308993668 hasAuthorship W4308993668A5091131279 @default.