Aim To investigate the correlation between coronary artery stenosis, calcification score and coronary hemodynamics in patients with coronary heart disease based on the CT-fractional flow reserve (CT-FFR) of artificial intelligence. Methods The clinical and coronary CT angiography (CCTA) datas of 206 patients with suspected coronary heart disease in the Affiliated Hospital of Qinghai University from September 2020 to April 2021 were included in this study retrospectively. The CT-FFR, coronary artery calcification score and stenosis degree of coronary artery were analyzed by artificial intelligence software, including left anterior descending artery, left circumflex branch and right coronary artery. The patients were divided into two groups according to the CT-FFR value. The vessels with CT-FFR≤0.8 were divided into functional meaning group, and the rest are non-functional meaning group. The correlations between coronary artery stenosis and calcification score and coronary hemodynamics were analyzed. Results 365 blood vessels from 206 patients were included in the study,and there were 139 blood vessels in the functional meaning group and 226 blood vessels in the non-functional meaning group. Degree of coronary stenosis (r＝－0.473, P＜0.001) and calcification score (r＝－0.369, P＜0.001) were negatively correlated with CT-FFR, and the calcification score was weakly correlated with the degree of stenosis (r＝0.141,P＝0.007). Compared with non-functional meaning group, the age of onset was older, and the proportion of male patients, hypertension, smoking history were significantly higher than those in the non-functional meaning group. Conclusion Degree of coronary stenosis and calcification score are important factors affecting coronary hemodynamics, CT-FFR is helpful for the functional evaluation of CCTA in coronary artery disease.