As a proof of concept, a recurrent neural network (RNN) model was developed using electronic medical record (EMR) data capable of continuously assessing a child's risk of mortality throughout an ICU stay as a proxy measure of illness severity.

SCCM Pod-442 Continuous Prediction of Mortality in the PICU: A Recurrent Neural Network Model in a Single-Center Dataset

The Society of Critical Care Medicine (SCCM) Podcast features in-depth interviews with leaders in critical care. Experts discuss hot topics in intensive care with perspectives from all members of the critical care team. Guests include authors from SCCM's peer-reviewed journals, Critical Care Medicine, Pediatric Critical Care Medicine, and Critical Care Explorations, as well as thought leaders within the field. This is a new and updated channel, formerly known as the iCritical Care Podcast All Audio Channel.

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Unlock the key to captivating your audience with our Leadership, Empowerment, and Development (LEAD) Program. Have you ever left a presentation wondering if anyone was really paying attention? In this episode, Kyle Enfield, MD, FCCM is joined by Amanda R. Emke, MD, MHPE, to discuss the essential skills needed to create presentations that leave a lasting impression. From weaving compelling narratives to incorporating interactive elements, learn how to command the stage with confidence and ensure your audience walks away truly moved.

SCCM Pod-511: LEAD: Crafting Captivating Presentations

As advanced practice provider (APP) postgraduate programs expand, what lessons have we learned as program directors? In this second episode of the APP Fellowship series, Diane C. McLaughlin, DNP, AGACNP-BC, CCRN, is joined by Melissa Ricker, DMSc, PA-C, and Sarah Peacock, DNP, APRN to discuss their experiences as program directors of APP fellowships in critical care. This episode will focus on the benefits and barriers of APP fellowship programs, focusing on the program director’s experience.

SCCM Pod-510: APP Fellowship Series: The Director's Viewpoint

As advanced practice provider (APP) postgraduate programs expand, what can we learn from the graduates themselves? Diane C. McLaughlin, DNP, AGACNP-BC, CCRN, is joined by Dalton Gifford PA-C and Benjamin Lassow, PA-C to discuss their experiences as recent graduates of APP fellowships in critical care; focusing on the benefits and barriers of APP fellowship programs, and the learner’s experience.

SCCM Pod-509: APP Fellowship Series: Insights Beyond the Classroom

Host Elizabeth H. Mack, MD, MS, FCCM, is joined by John Lin, MD, to discuss the transformative impact of the ICU Liberation Bundle (ABCDEF) on caring for critically ill children. This episode delves into the Pediatric Critical Care Medicine article, "Caring for Critically Ill Children With the ICU Liberation Bundle (ABCDEF): Results of the Pediatric Collaborative," exploring the implementation, outcomes, and the potential for enhancing pediatric ICU care (Pedtr Crit Care Med. August 2023; 24(8):636-651). Dr. Lin is Associate Professor of Pediatrics, Critical Care Medicine, and Service Chief for Respiratory Failure and Sepsis in the PICU, as well as the Medical Director of Respiratory Care at St. Louis Children’s Hospital in St. Louis, Missouri.

SCCM Pod-508 PCCM: Critical Care Revolution: Pediatric ICU Liberation

Host Maureen A. Madden, DNP, RN, CPNP-AC, CCRN, FCCM, FAAN, is joined by Dr. Lakshmi Raman, MD, to explore critical insights into pediatric ECMO, addressing neurological complications and their potential mitigation strategies and other topics associate with the article "Early Changes in Arterial Partial Pressure of Carbon Dioxide and Blood Pressure After Starting Extracorporeal Membrane Oxygenation in Children: Extracorporeal Life Support Organization Database Study of Neurologic Complications" (Pedtr Crit Care Med. July 2023; 24(7):541-550).  Dr. Raman is Professor of Pediatrics and Medical Director of ECMO at the University of Texas Southwestern Medical Center and Children's Medical Center in Dallas, Texas.

SCCM Pod-442 Continuous Prediction of Mortality in the PICU: A Recurrent Neural Network Model in a Single-Center Dataset

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