Mitral valve (MV) regurgitation is a highly prevalent and deadly cardiac disease affecting over 2% of the global population. Transcatheter edge-to-edge repair (TEER) has emerged as a generally safe and effective minimally invasive treatment option wherein the MV leaflets are clipped together. However, long-term outcomes remain suboptimal. Efforts to address these issues remain hampered by the paucity of data regarding the long-term impact of TEER devices on MV leaflet function. To address these issues, we first developed a patient-specific computational pipeline to predict MV function immediately post-TEER. Next, we analyzed a unique, longitudinal clinical imaging dataset to quantify the presence of TEER-induced MV leaflet plasticity in humans at three months post-treatment. Our pipeline was able to predict post-TEER geometries to within 1-mm of the imaged ground truth and identify TEER-induced focal stresses on the MV leaflets, all from preoperative imaging alone. Furthermore, we have simulated the significant plastic deformation at 3-months post-TEER on the order of 10–20% strain that corresponds to the placement of the clip(s). These novel results suggest that patient-specific models for optimal TEER procedures are feasible.