AATS: Machine Learning-Derived Risk Model to Predict Post-Cardiotomy Cardiogenic Shock in High-Risk Cardiac Surgery Patients

Cardiac Consult: A Cleveland Clinic Podcast for Healthcare Professionals

Sisällön tarjoaa Cleveland Clinic Heart & Vascular Institute, Cleveland Clinic Heart, and Vascular Institute. Cleveland Clinic Heart & Vascular Institute, Cleveland Clinic Heart, and Vascular Institute tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.

10M ago 3:13

MP3•Jakson koti

The American Association for Thoracic Surgery hosted its 104th Annual Meeting in Toronto at the end of April. There were many outstanding presentations. Edward Soltesz, MD, MPH, Surgical Director of the Kaufman Center for Heart Failure and Recovery and the Program and Director for the Department of Thoracic and Cardiovascular Surgery residency and fellowship training programs, highlights the area of high-risk cardiac surgery with temporary mechanical circulatory support assist. As an expert in the field, he presented Machine Learning-Derived Risk Model to Predict Post-Cardiotomy Cardiogenic Shock in High-Risk Cardiac Surgery Patients.

307 jaksoa

#Fitness #Cardiac Consult: For Healthcare Professionals #Cleveland Clinic #Vascular Institute #Cleveland Clinic Heart #Health Industry #Health and Well-Being #Health Care