Developing and validating cardiothoracic surgery tools using machine learning and augmented reality. Our goal is to further understand and improve cardiothoracic surgery outcomes.
Lab receives the 2024 Stanford CVH Fund Award!
This award provides clinical innovation funds to recipients who focus on enhancing clinical efficiency, advancing patient flow, and promoting patient progression.
Chad accepted into Kavli Center Graduate Fellowship!
Congratulations to Chad Harper 🎉
Presenting at ISHLT 2024!
Congratulations to Reid and Nataliya! 🎉
Presented Research
Utilizing Machine Learning Clustering Trees to Risk Stratify Exception patients in Heart Transplantation R. Dale, G. Anyetei-Anum, N. Bahatyrevich, K. Pines, M. Leipzig, M. Currie | Nonlinear Effect of Body Mass Index on Postoperative Survival Following Isolated Heart Transplant R. Dale, N. Bahatyrevich, M. Leipzig, M. Currie | Misalignment of Ethics and Statistical Risk Models in Organ Allocation R. Dale, M. Cheng, K. Pines, M. Currie |
Donor-Recipient Sex-Mismatching in Isolated Heart Transplant Confers No Postoperative Risk as Established by Equivalence Testing and Causal Estimation R. Dale, M. Leipzig, N. Bahatyrevich, K. Pines, Q. Chen, J. Teuteberg, J. Woo, M. Currie | Causal Nonlinear Dose Response Analysis of Predicted Heart Mass Mismatching R. Dale, M. Leipzig, N. Bahatyrevich, M. Currie | Induction therapy confers survival advantage in mechanically supported patients regardless of peak PRA in heart transplantation Bahatyrevich, R. Dale, M. Leipzig, K. Pines, S. Jimenez, M. Currie |
Summer CVI Project Highlight
Congratulations to Grace Patrice! 🎉
About Cardiothoracic Surgery
Heart Disease
Cardiovascular diseases are the leading cause of death globally and heart disease is the leading cause of death in the United States.