The Beat with Joel Dunning Ep. 8 [1]
In CTSNet’s flagship podcast, editor in chief Joel Dunning runs through the latest, most popular content on ctsnet.org—the largest online community of CT surgeons and source of CT surgery information—and breaking cardiothoracic surgery news and research from around the world.
In this episode, Joel addresses a machine learning model improving mortality risk prediction for cardiac surgery patients, the efficacy of thoracoscopic surgery for descending necrotizing mediastinitis, and a study examining diversity and compensation among cardiothoracic surgeons.
He also talks about a minimally invasive mitral valve repair, repair by translocation of anomalous origin of the left coronary artery, and a global surgeon spotlight. After discussing upcoming events in the CT surgery world, Joel closes with a shoutout to Kim Eagle and Thomas Crawford for their work with My Heart Your Heart.
JANS Items Mentioned
Researchers Show That a Machine Learning Model Can Improve Mortality Risk Prediction for Cardiac Surgery Patients [3]
Efficacy of Thoracoscopic Surgery for Descending Necrotizing Mediastinitis [4]
Exploring Diversity, Compensation Among Academic Cardiothoracic Surgeons [5]
CTSNet Content Mentioned
Minimally Invasive Off-Pump Mitral Valve Repair with the NeoChord DS1000 System [6]
Global Surgeon Spotlight: An Interview with Professor Barasa Otsyula [8]
Other Items Mentioned
CTSNet Events Calendar [9]
My Heart Your Heart [10]