biostudies-literatureHan XBeijing Municipal Science and Technology Commissionthe Beijing Hospitals Authority Clinical Medicine Development of Special Funding SupportNational Key Research and Development Program of China28https://www.ebi.ac.uk/biostudies/studies/S-EPMC8851787biostudies-literatureUnknown22(1)<h4>Background</h4>To investigate the influence of artificial intelligence (AI) based on deep learning on the diagnostic performance and consistency of inexperienced cardiovascular radiologists.<h4>Methods</h4>We enrolled 196 patents who had undergone both coronary computed tomography angiography (CCTA) and invasive coronary angiography (ICA) within 6 months. Four readers with less cardiovascular experience (Reader 1-Reader 4) and two cardiovascular radiologists (level II, Reader 5 and Reader 6) evaluated all images for ≥ 50% coronary artery stenosis, with ICA as the gold standard. Reader 3 and Reader 4 interpreted with AI system assistance, and the other four readers interpreted without the AI system. The sensitivity, specificity, positive predictive value (PPV), negative predictive valueBMC medical imagingArtificial intelligence stenosis diagnosis in coronary CTA: effect on the performance and consistency of readers with less cardiovascular experience.PMC8851787ZYLX202101Z2011000056200092019YFE0107800Xu LGuo NLuo NHong MYang ZHe YCao JHan XJia XWang ZfalseArtificial intelligence stenosis diagnosis in coronary CTA: effect on the performance and consistency of readers with less cardiovascular experience.<h4>Background</h4>To investigate the influence of artificial intelligence (AI) based on deep learning on the diagnostic performance and consistency of inexperienced cardiovascular radiologists.<h4>Methods</h4>We enrolled 196 patents who had undergone both coronary computed tomography angiography (CCTA) and invasive coronary angiography (ICA) within 6 months. Four readers with less cardiovascular experience (Reader 1-Reader 4) and two cardiovascular radiologists (level II, Reader 5 and Reader 6) evaluated all images for ≥ 50% coronary artery stenosis, with ICA as the gold standard. Reader 3 and Reader 4 interpreted with AI system assistance, and the other four readers interpreted without the AI system. The sensitivity, specificity, positive predictive value (PPV), negative predictive value2022-01-01T00:00:00Z2022 Feb2025-04-05T22:59:08.148Z2025-02-19T03:47:06.898ZS-EPMC88517873517702910.1186/s12880-022-00756-y