Dr Mehdi Eskandari

Dr. Mehdi Eskandari, an imaging cardiologist at King's College Hospital, shares his expertise on predicting TAVI procedure outcomes using machine learning. He dives into the limitations of current models and highlights how his research utilizes 13 key pre-procedural variables to enhance predictive accuracy. Topics include the impact of frailty, lung function, and more on one-year futility rates. Dr. Eskandari also discusses future directions, including the potential of advanced imaging, as he emphasizes the need for prospective validation and a deeper integration of data science.