Dr Kenneth Chan, University of Oxford, UK, describes recent research showing that measuring coronary inflammation from coronary CT angiography using the perivascular fat attenuation index (FAI) predicts fatal and non-fatal cardiac events, and he suggests that integrating coronary inflammation, clinical risk factors and plaque burden into an AI-risk model can help to personalise risk prediction to guide preventive treatments.
Educational partners and supporters
Financial support was provided as a GMG Knowledge Gap Grant from Pfizer Inc.
Financial support was provided as a GMG Knowledge Gap Grant from Pfizer Inc.
Financial support was provided as a GMG Knowledge Gap Grant from Pfizer Inc.
