January 2024 Perfusion Webinar: Areas of CPB Practice & AI
Our ability to increase knowledge, calculate risk, and detect perioperative events associated with surgery and CPB is improving through our interaction with data and artificial intelligence (AI). The application of predictive AI models offers the potential for individual outcome prediction following CPB which could lead to the ‘personalization’ of CPB conduct. AI also provides the potential for early detection/prediction of emerging biochemical abnormalities and decision support for CPB management. Join Richard Newland, a Senior Perfusionist in the Department of Cardiac and Thoracic Surgery at Flinders Medical Centre in Adelaide, South Australia, to identify areas of CPB practice in which AI could be applied.
We welcome you to join fellow perfusionists to hear from Chelsea Capone, MS, CCP, and Alexandra Hank, MS, CCP, who present the pros and cons of modified ultrafiltration (MUF) usage in a debate format. They use…
https://www.youtube.com/watch?v=ocqVMoiJqfQ Join Serdar Gunaydin, MD, PhD, clinical professor in the department of cardiovascular surgery at Ankara City Hospital Campus, University of Health Sciences, Ankara-Turkey. The presentation will give an overview of the latest research on long-acting...
A key performance indicator (KPI) is a type of performance measurement, and KPIs evaluate the success of a particular activity that your organization is engaged in. KPIs are critical in understanding the health of your business…
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