A machine learning method integrating ECG and gated SPECT for cardiac resynchronization therapy decision support.

Compared to guideline criteria, ML methods trended toward improved CRT response and super-response prediction. GMPS was central in the acquisition of most parameters. Further studies are needed to validate the models.