| Research

Project 1:

Title: Pulmonary hypertension mortality risk assessment using microbiome

Project goal: Produce AI models that accurately predict mortality of patients with pulmonary hypertension, based on clinical features and microbiome data.

Project team members: Thenappan Thenappan, MD; Erich Kummerfeld, PhD; Steven Johnson, PhD

Project 2:

Title: Early detection of cardiac amyloidosis

Project goal: Produce AI model that uses data available in the EHR to accurately identify people who have undiagnosed cardiac amyloidosis.

Project team members: Valmiki Maharaj, MD; Erich Kummerfeld, PhD; Steven Johnson, PhD

Project 3:

Title: Identifying adults living with congenital heart disease

Project goal: Using EHR data, train and deploy AI model to accurately identify adults who are living with congenital heart disease and their healthcare utilization and outcomes

Project team members: Abigail Simmons, MD; Erich Kummerfeld, PhD; Steven Johnson, PhD

Project 4:

Title: Early prediction of cardiac arrest neurological outcomes from CT scans in eCPR patients

Project goal: Train high accuracy AI models that can use CT scan images to predict neurological outcomes in patients with cardiac arrest who are managed on VA ECMO.

Project team members: Andrea Elliott, MD; Pornthira Mutirangura, MD; Tony Prisco, MD, PhD; Mahdi Bayat, PhD; Erich Kummerfeld, PhD; Steven Johnson, PhD