首页|Department of Radiology Reports Findings in Artificial Intelligence (CT angiography prior to endovascular procedures: can artificial intelligence improve reporting?)
Department of Radiology Reports Findings in Artificial Intelligence (CT angiography prior to endovascular procedures: can artificial intelligence improve reporting?)
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New research on Artificial Intelligence is the subject of a report. According to news reporting originating from Mantova, Italy, by NewsRx correspondents, research stated, “CT angiography prior to endovascular aortic surgery is the standard non-invasive imaging method for evaluation of aortic dimensions and access sites. A detailed report is crucial to a proper planning.” Our news editors obtained a quote from the research from the Department of Radiology, “We assessed Artificial Intelligence (AI)-algorithm accuracy to measure vessels diameters at CT prior to transcatheter aortic valve implantation (TAVI). CT scans of 50 patients were included. Two Radiologists with experience in vascular imaging together manually assessed diameters at nine landmark positions according to the American Heart Association guidelines: 450 values were obtained. We implemented TOST (Two One- Sided Test) to determine whether the measurements were equivalent to the values obtained from the AI algorithm. When the equivalence bound was a range of ± 2 mm the test showed equivalence for every point; if the range was equal to ± 1 mm the two measurements were not equivalent in 6 points out of 9 (p-value ＞0.05), close to the aortic valve. The time for automatic evaluation (average 1 min 47 s) was significantly lower compared with manual measurements (5 min 41 s) (p ＜0.01).”
MantovaItalyEuropeAngiographyAngiologyArtificial IntelligenceCardiologyCardiovascular Diagnostic TechniquesEmerging TechnologiesHealth and MedicineMachine Learning
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