Cardiac resynchronization therapy (CRT) holds promise for heart failure patients, but not all respond equally. Collaborating with the Medical University of Warsaw, we developed an AI algorithm to detect ineffective CRT pacing, potentially improving patient care. Our study involving 541 patients showed high sensitivity and precision in identifying effective CRT stimulation. Published in the Journal of Cardiovascular Development and Disease, our findings offer promising implications for optimizing CRT settings and enhancing patient outcomes.