Identifying Candidates for Advanced Heart Failure Therapies Using Machine Learning

Learn about leveraging artificial intelligence to identify patients suitable for advanced heart failure therapies in this Yale Cardiovascular Medicine Grand Rounds presentation. Explore how machine learning algorithms can help healthcare providers make earlier referrals for heart transplantation and left ventricular assist device implantation, potentially improving patient survival rates. Gain insights from University of Michigan experts Drs. Jessica Golbus and Heming Yao as they discuss the challenges of late referrals and present innovative solutions for identifying eligible candidates earlier in their disease progression. Examine research findings from their published study on using interpretable machine learning algorithms for patient identification and understand how this technology could transform the referral process for advanced cardiac care.