Clinical Validation of an Artificial Intelligence Tool to Predict Inversion Time

"THAITI is an AI-based software which predicts on the fly personalised TI for late gadolinium enhancement imaging during cardiovascular magnetic resonance scans.~The clinical investigators will be provided by the computer scientists investigators with a software, based on the developed AI model. During the CMR in the experimental group, investigators will input patients' data on the software (e.g. age, sex, dose of contrast…). The software will provide a TI value to be input in the MRI scanner. TI will be set accordingly to the AI prediction. A LGE series of 3 long axis (4-, 2- and 3-chambers view) and a short-axis stack will be acquired.~For all the patients, a doctor expert in CMR will be at the scanner and quality check the images in real time. Every image where the myocardium is not optimally nulled will be repeated with a TI set by the CMR doctor."