Abstract： Objective:To explore the application value of artificial intelligence compressed sensing(ACS)technology in shoulder joint MRI imaging for image quality and shortening scanning time.Methods:Twenty-seven healthy volunteers were recruited,and the shoulder joint MRI scanning was performed using 3.0T MR scanner.Parallel acquisition technology(PI)and ACS technology were used to scan shoulder joint transverse PDWI,sagittal PDWI,coronal T2WI,and coronal T1WI sequences in all subjects.The combined acceleration factors for the four sequences were 1.77,1.72,1.60,and 1.87 by using the PI technique;3.23,3.01,2.81,and 2.86 by using the ACS technique,respectively.Two doctors scored the joint image structure display,fat suppression,artifacts and the overall image.The signal intensity(SI)and noise value(SD)of the homogenous tissue of the supraspinatus muscle and humeral head were measured at the same level of the two images,and the SNR and CNR of the supraspinatus muscle and humeral head were calculated.Statistical analyses of subjective scores and objective evaluation indicators were performed using paired-sample t-tests and Mann-Whitney U-tests.Results:The subjective scores of PI on axial PDWI,sagittal PDWI,coronal T2WI and coronal T1WI were 4.89±0.33,4.85±0.46,4.85±0.46 and 4.85±0.46,while those of ACS were 4.92±0.27,4.92±0.27,4.88±0.33 and 4.92±0.27,with no significant statistical difference(P＞0.05).The SNR of the supraspinatus muscle measured by PI on axial PDWI,sagittal PDWI,coronal T2WI and coronal T1WI were 25.08±4.08,30.40±6.93,10.37±1.95 and 17.53±3.17,which were lower than 31.77±6.83,38.95±7.05,13.22±2.47 and 20.09±5.95 of ACS,and the difference was statistically significant(P＜0.05).The total scan time in the ACS group was 241 s,which was a 45％reduc-tion compared to the PI group(438 s).Conclusion:The application of ACS technology to scan shoulder joint MRI can signifi-cantly reduce the scanning time and provide efficient examination for the clinic on the premise of ensuring the image quality.