Objective:To explore the feasibility of artificial intelligence(AI)-assisted coronary CT angiography(CTA)imaging under"double low scheme"in the diagnosis of coronary artery lesion.Method:A total of 116 patients with suspected coronary artery lesion in the First People's Hospital Affiliated to Shanghai Jiao Tong University from July 2022 to June 2023 were selected.All patients underwent coronary CTA imaging diagnosis under"double low scheme".The images were diagnosed by doctors and AI-assisted diagnosis.The diagnosis time and image quality assessment results of the two methods were compared.Selective coronary angiography(CAG)result was used as the gold standard to compare the diagnostic value of the two methods on coronary artery disease.Based on the doctor's diagnosis result,Kappa test was used to analyze the consistency of AI-assisted diagnosis and doctor's diagnosis in the diagnosis of coronary artery stenosis degree and coronary plaque.Result:The diagnosis time in AI group was shorter than that in doctor group,and the rate of excellent image assessment was higher than that in doctor group(P<0.05).The accuracy rates of diagnosis of coronary artery disease in doctor group and AI group were 93.97%and 93.10%,the sensitivities were 95.33%and 94.39%,and the specificities were 77.78%and 77.78%respectively,the differences were no significant differences(P>0.05).Kappa test results showed that the Kappa values of doctor group and AI group for the diagnosis of coronary artery stenosis degree and coronary plaque were 0.954 and 0.922 respectively,with high consistency.Conclusion:AI-assisted coronary CTA imaging under"double low scheme"has a high diagnostic value on coronary artery lesion,and it can significantly shorten the diagnosis time of coronary artery lesion and can be used as an effective auxiliary tool for doctors to diagnose coronary artery lesion.
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