ML-AAC-24

1. ML-AAC-24 is associated with AAC-24 in humans (ICC 0.84, 95% CI 0.83, 0.84).

   “The average intraclass correlation coefficient between imaging specialist and ML-AAC-24 scores for 5012 images was 0.84 (95% CI 0.83, 0.84) with classification accuracy of 80% for established AAC groups.”

   Humansn = 5,012

   Machine learning for abdominal aortic calcification assessment from bone density machine-derived lateral spine images

   EBioMedicine·Jul 11, 2023

More on AAC-24

1. ML-AAC-24 raises the risk of major adverse cardiovascular events in humans (HR 1.54, 95% CI 1.31-1.80).

   “After multivariable adjustment, moderate and high ML-AAC-24 groups remained significantly associated with MACE (HR 1.54, 95% CI 1.31-1.80 & HR 2.06, 95% CI 1.75-2.42, respectively), compared to those with low ML-AAC-24.”

   Humansmean 4 yearsn = 8,565

   Machine learning for abdominal aortic calcification assessment from bone density machine-derived lateral spine images

   EBioMedicine·Jul 11, 2023