🧠 We feel so grateful to have hosted the wonderful Dr. Mauro Caffarelli, an Assistant Professor at UCSF in Pediatric Critical Care Medicine and Child Neurology, for our webinar this month! 🎥

As a clinician, Dr. Caffarelli cares for children in the Intensive Care Unit (ICU) with a specialty focus on children with heart disease who are at risk of suffering stroke while in the cardiac ICU. As a researcher, he leverages his background in neural electrophysiology to create new solutions for multimodal recognition of stroke in the ICU. He is an active member of the Amorim Lab where he developed the Correlate Of Injury to the Nervous System (COIN) index, a novel Quantitative EEG index used for the bedside detection of stroke and cerebral ischemia. Dr. Caffarelli’s research assessing the clinical utility of COIN has won multiple research awards and has been presented in multiple medical forums.

About the talk:

Approximately 70,000 people have a stroke while in the hospital each year. Half of these occur as the result of a procedure of the heart or blood vessels of the neck. Because these patients are under anesthesia and stroke recognition relies on a neurological exam in an awake patient, stroke diagnosis can be delayed by many hours or even days after the stroke has occurred. Electroencephalography (EEG) could be used to recognize stroke in real-time but requires expert neurophysiologist interpretation.

In this talk, Dr. Caffarelli discusses barriers to broad use of EEG for stroke screening and introduce the Correlate Of Injury to the Nervous System (COIN) index. COIN may overcome traditional barriers to EEG stroke screening by providing an intuitive threshold-based readout of focal power suppression associated with stroke. Objectives of this talk are to:

* Discuss epidemiology of in-hospital stroke
* Provide conceptual overview of EEG for stroke recognition
* Introduce COIN and cover supportive data in adult and pediatric patients
* Announce a partnership with Moberg Analytics to incorporate COIN onto the Moberg Clinical and Cloud Platforms

If you're interested in joining the webinar series, please register via this link: [ Ссылка ]

You can view recordings of past webinars here: [ Ссылка ]

This webinar series is designed to help clinicians learn how to get more from their neurocritical care data. No prior experience is necessary.

Each session will focus on a real-world case study from us or from your colleagues. We will walk participants through the steps to re-create the analytics that answers the neurocritical care question presented. We’ll cover tools, data handling, feature engineering, cohort selection, model training, model tuning, visualization, and other topics. Sample code, Jupyter notebook, and data will be provided to enable you to experiment and apply these methods to your own data sets and problems.

Please feel free to let us know if you have any questions about the concepts that were presented in this video or if you have case studies or suggestions for upcoming sessions.

Website: [ Ссылка ]
LinkedIn: [ Ссылка ]
Twitter: [ Ссылка ]

Disclaimer:
The views and opinions expressed by the presenter and other third parties do not necessarily reflect those of Moberg Analytics, Inc. Moberg Analytics, Inc. makes no clinical claims regarding information described by the presenter and other third parties.

свернуть