U.S., Oct. 9 -- ClinicalTrials.gov registry received information related to the study (NCT07866144) titled 'Prediction of Adverse Events From Non-PCI Coronary Plaques Using Machine Learning' on Oct. 05.

Brief Summary: The aim of our project is to predict, with the help of artificial intelligence (AI) and machine learning techniques, the natural history of non-flow-limiting coronary stenoses and to develop and validate a machine learning risk score able to estimate the risk of MACE during follow-up based on OCT findings observed on coronary plaques not subjected to percutaneous coronary intervention (PCI) and on the clinical characteristics of the patients.

We will collect information on all non-PCI coronary lesions assessed by performing ...