Does the new obstructive CAD prediction model improve pre-test probabilities?

The updated 2019 prediction model provides a more accurate estimation of pre-test probabilities of obstructive CAD than the previous model. Adoption of this new score may improve disease prediction and influence the selection of non-invasive testing.

Can PTP predict obstructive CAD?

The two PTP prediction models were assessed for calibration, discrimination and the ability to change the downstream diagnostic pathway. The observed prevalence of obstructive CAD was 16.3% (n=52).

Can human expertise improve the diagnosis of CAD?

The results of this study demonstrate the potential for this approach to improve the diagnosis of CAD and highlight the importance of considering the role of human expertise in the development of computer-aided classification models.

What does CAD stand for?

Anyone you share the following link with will be able to read this content: The main goal driving this work is to develop computer-aided classification models relying on clinical data to identify coronary artery disease (CAD) instances with high accuracy while incorporating the expert’s opinion as input, making it a "man-in-the-loop" approach.